Netflix/atlas

Executive summary

Netflix/atlas scores 60 out of 100 and is rated Adequate, while three of its six lenses score higher still: Architecture at 92 and Security and Compliance at 75, both rated Adequate, and Performance at 82, rated Strong.

The score is lower than those three because the weakest lens counts most, and here that is Maturity, which scores 55 and is rated Adequate. Its Architecture documentation dimension scores 2 out of 10, and until that reaches 4, Maturity can't be rated higher than Adequate. The first actions are to record your significant design decisions and to expand the README with getting-started, architecture overview and a project map. The weakest lenses score close to each other, so improving any of them moves the score.

17 findings are critical: 15 in Static Analysis (SAST) and two in Dependency Vulnerabilities.

Watchdog couldn't measure 14 dimensions in this code, among them Code Coverage, Test Reliability and Dependency Hygiene, so they are left out of the score. The product code is 52,860 lines, which would take an estimated 0.7 person-years, around €100,000, to rebuild.

Code Health 57 Adequate, capped by Nullable reference types Architecture 92 Adequate, capped by Project Cohesion Maturity 55 Adequate, capped by Architecture documentation Production Readiness 58 Adequate Security and Compliance 75 Adequate, capped by Static Analysis (SAST) and Supply-chain Provenance & Signing Performance 82 Strong

A lens is capped at Adequate while one of its dimensions scores below 4 out of 10, however well the rest of the lens does. That way a serious problem in one place always shows in the lens's rating.

How the score is built: what each lens counts for The lenses don't count equally. The weakest lens counts most, the next weakest a little less, and so on, so a weak area pulls the score down instead of being averaged away. In the bar below, each part's width shows how much that lens counts and its colour shows its rating. Improving the widest part moves the score most, and as that lens improves, it counts for less, because another lens becomes the weakest.

Maturity 55 · counts for 46%Code Health 57 · counts for 25%Production Readiness 58 · counts for 14%Security and Compliance 75 · counts for 8%Performance 82 · counts for 4%Architecture 92 · counts for 2%

The weakest lenses score close to each other, so improving any of them moves the score.

Code composition: what the lines of code are

Product code 56%Tests 44%

New since the last survey: 2 findings

These 2 critical or serious findings weren't in the previous survey, on 9 October 2026.

Supply-chain Provenance & Signing · REDACTED
Supply-chain Provenance & Signing · REDACTED

Watchdog compares every finding with the previous survey's. A finding that has only moved to another line in the same file counts as the same finding, so only new findings appear here. Advisory notes from the AI model are left out, because the model words them afresh in every survey.

Fixed since the last survey: 1 finding

This critical or serious finding was in the previous survey, on 9 October 2026, and is gone from this one.

Supply-chain Provenance & Signing REDACTED

Rebuild cost: about €100,000 · Estimate

Cost to rebuild	€33,000 to €170,000, for 554 to 1,758 hours of work, about 0.7 person-years for 1 to 2 engineers
Difficulty of the problem	Standard, judged from the kind of software and how it is built. Code that solves a harder problem, such as payments or medical bookings, costs more per line to write.
Quality factor	×0.8 at a score of 60. Better code takes more work to write, so the factor is ×1.0 at a score of 70, lower below it and higher above it.
Size	Medium: 52,860 lines of product code

How the estimate is made: Watchdog prices the hours a team would need to write this code again, at €60 to €95 an hour. Declarations and boilerplate are priced at a fast rate and logic at a slower one, and the logic is then multiplied by the difficulty of the problem and by the quality factor. The estimate can be about 30% off either way, and it moves most with the hourly rate and the difficulty. For this code, every line is priced as straight logic, which keeps the estimate on the low side.

Top priorities

The three actions that raise the score most for the work they take. The full ranked list is in the Roadmap.

Record your significant design decisions.

Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.

Raises the score by about 4 points · Medium effort · Architecture documentation

Expand the README with getting-started, architecture overview and a project map.

Raises the score by about 3 points · Medium effort · Documentation (README)

On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String | Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`.

Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.

Raises the score by about 2 points · Medium effort · Nullable reference types

Diagnosis: what the measurements show together

Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.

Where the investment is most exposed · Value at risk

This code would cost about €100,000 to build again, about 0.7 person-years of work. Its weakest lens is Maturity, at 55 (Adequate). Maturity is about how well the project explains and looks after itself, which decides whether a new developer, or a new supplier, can take over. Because the weakest lens counts most in the score, work on Maturity also moves the score most.

Based on: the rebuild estimate · the Maturity grade · how much each lens counts

What to do: Start with the Maturity actions in Top priorities.

If you do one thing first · First action

Record your significant design decisions. Of all the actions in this report, it raises the score most for the work it takes: about 4 points for medium effort. The next survey will show the change in the score.

Based on: the ranked actions in Top priorities, by score gain and effort

Architecture: which parts of the code depend on which

The code is divided into modules, groups of code that each handle one part of the product, and a module depends on another when it uses code from it. The table lists the modules both down the side and across the top, in an order where each module should only use modules listed above it. A number in a cell means the module on that row uses the module in that column, and it counts the pairs of building blocks (types) that connect them. The one thing to look for is a mark above the diagonal line. It means two or more modules use each other in a loop (a dependency cycle), so none of them can be changed, tested or released on its own.

129 modules, with 283 dependencies between them. 8 loops run through 26 of the modules, marked above the diagonal.

The table shows the 40 modules with the most connections; 89 more are left out to keep it readable.

Which modules use which. The module on each row uses the module in each column, and the number counts the pairs of types that connect them. A cell above the diagonal is part of a loop.
uses →	1 chart.GraphConstants	2 core.util.InternMap	3 core.stacklang.ast	4 core.stacklang.StandardVocabulary	5 core.stacklang	6 core.util.ConcurrentInternBench	7 pekko.RequestLimiter	8 core.model	9 core.model.StyleVocabulary	10 pekko	11 chart.model	12 core.model.Query	13 core.model.TimeSeries	15 core.util	16 chart.graphics	17 core.index	18 core.util.SortedTagMap	19 chart	20 core.db	21 core.model.ConsolidationFunction	22 json3	24 webapi.TagsApi	25 core.model.DataExpr	26 eval.graph	27 eval.model	29 webapi.PublishApi	30 core.model.MathExpr	32 lwc.events.LwcEventFilter	34 webapi.GraphApi	36 lwc.events	38 lwcapi.SubscriptionManager	39 lwcapi
1 chart.GraphConstants
2 core.util.InternMap
3 core.stacklang.ast					1
4 core.stacklang.StandardVocabulary			18		35
5 core.stacklang			5	2
6 core.util.ConcurrentInternBench		1		1										1
7 pekko.RequestLimiter				2						1
8 core.model		1	1	15	21										7
9 core.model.StyleVocabulary			14		17
10 pekko				4			4
11 chart.model				1				4	8						3
12 core.model.Query				7				7
13 core.model.TimeSeries				2				7
14 core.norm				1				1
15 core.util		2		15		1		1	1
16 chart.graphics				1				4	3		11			2
17 core.index				1				14				1		1
18 core.util.SortedTagMap				1				1						1
19 chart	1			1				3	2		15				1
20 core.db				7				24							5	3
21 core.model.ConsolidationFunction								3							4
22 json3																	1
23 lsp			6	6	6												1
24 webapi.TagsApi								2		4						4
25 core.model.DataExpr				2				30					6							5
26 eval.graph				7	2			12	5	2	6	1					1	2	1
27 eval.model				6				3	2	2											11
28 postgres				2				12						3		4			2
29 webapi.PublishApi	1							1													1
30 core.model.MathExpr			1	17	1			104					5							1			2
31 eval.stream				7				12		2				1							5			1	8
32 lwc.events.LwcEventFilter								2																	1					1
33 lwcapi.EvaluateApi														1							1				2
34 webapi.GraphApi				1				4																1
35 core.model.MathVocabulary			26		33			34												1			1				23
36 lwc.events				2				5				3													7			2
37 lwc.events.DatapointConverter				2																			1		6					5
38 lwcapi.SubscriptionManager				1																										1		3
39 lwcapi								1		4											6									2	2
40 webapi	1			4	3			12		5				1					2			1		3		2			2			1

Uses a module listed above itPart of a loopThe module itself

At a glance — Code Health · 57% · Adequate · gated by X5 ·

The Good

D1 · Scala Cyclomatic Complexity 8.4 D3 · Scala God Classes 9.0 D4 · Scala Code Duplication 9.6 D17 · Scala Explicit Debt 10.0 GD1 · Repo Unfinished & placeholder code 10.0 IC1 · Repo Incompleteness & stubs 10.0 X1 · Repo Async correctness 10.0 X12 · Repo Unreachable branch 10.0 X13 · Repo Undrained process stream 10.0 X16 · Repo Unfloored truncation loop 10.0 X18 · Repo Disposal-pattern correctness 10.0 X19 · Repo Unrestored process-global state 10.0 X20 · Repo Mistyped argument guard 10.0 X21 · Repo Side-effecting pattern guard 10.0 X22 · Repo Contradicted release guard 10.0 X23 · Repo Unguarded diagnostic materialisation 10.0 X25 · Repo Inert configuration knob 10.0 X26 · Repo Unsynchronised callback handoff 10.0 X27 · Repo Collection changed while being enumerated 10.0 X28 · Repo Index access outside its own emptiness guard 10.0 X29 · Repo Per-element action decided by a fixed element 10.0 X30 · Repo Support guard that admits what it rejects 10.0

The Bad

D2 · Scala Cognitive Complexity 6.4 X3 · Repo Exception handling 6.4

The Ugly

X4 · Repo Structured logging 4.2 X5 · Repo Nullable reference types 2.0

At a glance — Architecture · 92% · Adequate · gated by D26 ·

The Good

D5 · Scala Coupling 10.0 D6 · Scala Cohesion (LCOM4) 9.5 D35 · Scala Change Coupling 10.0 AX10 · Repo Code composition 10.0 AX2 · Repo Stateful singletons 10.0 AX3 · Repo Project dependency cycles 10.0 AX4 · Repo Dependency direction 10.0 AX6 · Repo Interface segregation 9.9 AX8 · Repo Test isolation 10.0

The Ugly

D26 · Scala Project Cohesion 0.0

At a glance — Maturity · 55% · Adequate · gated by M2 ·

The Good

D15 · Scala Churn × Complexity Hotspots 9.9 D19 · Scala Documentation Quality 8.0 D21 · Scala Naming Consistency 10.0 D34 · Scala Knowledge Freshness 9.9 M3 · Repo Folder & project structure 10.0 M4 · Repo Documentation accuracy 7.0

The Ugly

M1 · Repo Documentation (README) 4.5 M2 · Repo Architecture documentation 2.0

At a glance — Readiness · 58% · Adequate ·

The Good

D9 · Scala Test Distribution 10.0 D13 · Scala Secret Scanning 10.0 P1 · Repo CI/CD gates 8.5 P2 · Repo Observability 9.0

The Bad

P10 · Repo Library API & versioning 6.0 P4 · Repo Deployment & Rollback 5.0 P6 · Repo Release Hygiene 5.0

The Ugly

P3 · Repo Security & performance tooling 4.0

At a glance — Security · 75% · Adequate · gated by D29, D36 ·

The Good

D28 · Scala Secrets (history) 10.0 D30 · Scala Dependency Vulnerabilities 8.8 D43 · Scala Malicious Dependencies 10.0 S1 · Repo Web-Security Posture 8.0 X14 · Repo Bypassable address classification 10.0 X15 · Repo Unvalidated length from an untrusted reader 10.0 X17 · Repo Uncapped recursion over a caller-supplied document 10.0 X24 · Repo Document value interpolated into markup unescaped 10.0

The Ugly

D29 · Scala Static Analysis (SAST) 4.0 D36 · Scala Supply-chain Provenance & Signing 2.5

At a glance — Performance · 82% · Strong ·

The Good

PF1 · Repo Benchmark discipline 9.5 PF3 · Repo Async & latency hygiene 10.0

The Bad

PF2 · Repo Allocation hygiene 6.3

Security & Compliance — OWASP Top-10 mapping

Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).

OWASP category	Findings	Severity
A05:2025 — Injection	16	High / Critical
A03:2025 — Software Supply Chain Failures	7	High / Critical

Roadmap

Begin by documenting significant design decisions in a dedicated folder and expanding the root README with clear getting-started instructions and an architecture overview. Next, enforce strict null safety by enabling explicit null checks in the build configuration and refactoring code to eliminate null assertions at API boundaries. Finally, replace interpolated log messages with structured logging to ensure consistent and parseable output across the application.

Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.

Do this	Helps	Effort	Dimension
Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.	+3.6 pts	Medium	Architecture documentation
Expand the README with getting-started, architecture overview and a project map.	+2.7 pts	Medium	Documentation (README)
On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String \| Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`. Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.	+2.5 pts	Medium	Nullable reference types
Improve Documentation Quality — currently 8.0/10.	+1.9 pts	Medium	Documentation Quality
Interpolated log message defeats structured logging	+1.6 pts	Medium	Structured logging
Resolve the 4 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (4).	+0.6 pts	Low	Static Analysis (SAST)
Add a SAST step to CI running what this repository's stack ships: scalafix or scapegoat — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.	+1.2 pts	Medium	Security & performance tooling
Swallowed exception (caught, then discarded)	+0.9 pts	Medium	Exception handling

File quality

Per-file score 0–10 — a quality signature. Of 61 files carrying findings, judged against the Production bar: 7% slop · 39% mixed · 54% near-clean.

File	Score	Band	Worst signal
REDACTED	2.7	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	2.7	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	3.3	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	3.7	Slop	Static Analysis (SAST): High: REDACTED
atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala	5.6	Mixed	Cognitive Complexity: RoaringTagIndex.findValues (cognitive 22)
REDACTED	5.8	Mixed	Dependency Vulnerabilities: High CVE: REDACTED
atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala	6.0	Mixed	Explicit Debt: TodoComment
atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala	7.0	Mixed	Code Duplication: Duplicated block (17 lines × 2)
atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala	7.1	Mixed	Cyclomatic Complexity: Interpreter.syntaxTree (cyclomatic 28)
atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala	7.2	Mixed	Cyclomatic Complexity: StringFormatter.parseFormatSpec (cyclomatic 32)
atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala	7.2	Mixed	Code Duplication: Duplicated block (10 lines × 2)
REDACTED	7.2	Mixed	Static Analysis (SAST): High: REDACTED
atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala	7.3	Mixed	Explicit Debt: TodoComment
atlas-core/src/main/scala/com/netflix/atlas/core/model/MathExpr.scala	7.4	Mixed	Cognitive Complexity: Percentiles.estimatePercentiles (cognitive 23)
atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala	7.4	Mixed	Cognitive Complexity: Block.compress (cognitive 22)
atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala	7.4	Mixed	Cognitive Complexity: TimeSeriesBuffer.average (cognitive 17)
atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala	7.4	Mixed	Code Duplication: Duplicated block (10 lines × 3)
atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/LwcToAggrDatapoint.scala	7.8	Mixed	Cyclomatic Complexity: LwcToAggrDatapoint.createLogic (cyclomatic 23)
atlas-chart/src/main/scala/com/netflix/atlas/chart/model/PlotDef.scala	7.8	Mixed	Cyclomatic Complexity: PlotDef.bounds (cyclomatic 20)
atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/TimeGrouped.scala	7.8	Mixed	Cyclomatic Complexity: TimeGrouped.createLogic (cyclomatic 19)

How the grades work

Every finding carries one of four grades. Three say how serious it is. The fourth says this survey could not settle it — and it is a grade, not a gap.

Critical — 17

A definite problem that already costs you something and drags the score down: a missing authorisation check, a dependency with a known exploit, a build that does not reproduce. Failure here tends to cause failures elsewhere.

Serious — 121

Likely wrong, but not failing yet. It degrades the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to carry for two years either.

Minor — 28

Recorded, with no effect on how the codebase functions. Present so the survey is complete, not because it needs doing.

Could not be resolved — 15

Something this survey could not settle from the outside, and which could be critical or serious. Either a control was required and no positive evidence of it exists in the repository — a backup job that nothing shows was ever restored from proves nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean result. These are excluded from the score rather than awarded a pass, so the number on the cover neither rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each one is named under Limitations.

Methodology & how to trust this report

Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 62 of 65 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 3 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.8 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.

What we checked — 65 dimensions across the health lenses

D1D2D3D4D5D6D9D13D15D17D19D21D26D28D29D30D34D35D36D43AX10AX2AX3AX4AX6AX8GD1IC1M1M2M3M4P1P10P2P3P4P6PF1PF2PF3S1X1X12X13X14X15X16X17X18X19X20X21X22X23X24X25X26X27X28X29X3X30X4X5

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report — three questions

Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 152 of 166 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.

Method	Backs	Version	Evaluator
Roslyn static analysis	Complexity, cohesion, coupling, dead code, API surface, layering	5.3.0	✓ deterministic
Native secret scanner	Hardcoded secrets / credentials	1.0.0	✓ deterministic
Watchdog duplication detector (in-process)	Code duplication	1.0.0	✓ deterministic
Coverage (coverlet / dotnet-coverage)	Line & branch coverage	10.0.400	✓ deterministic
NuGet / dotnet	Outdated, vulnerable & deprecated dependencies	10.0.400	✓ deterministic
git / LibGit2Sharp	Churn hotspots, knowledge concentration, history	2.43.0 · 0.31.0	✓ deterministic
gitleaks · semgrep · trivy	Secrets in history, SAST, CVEs, IaC & container, PII / GDPR	1.86.0 · 0.69.3	✓ deterministic
LLM (sampled · advisory)	Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurement	Local LLM	◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 01a166f5-1cc5-7a8c-9b50-b8e4c4b2fdc9.

The exact command behind every deep-scan dimension — tool, version, invocation and retained raw output — is in Appendix B — Reproduction & audit trail.

Run transparency — what happened this run

What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT MEASURED: test source is present (.scala) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures. You can widen what we reach: optional: produce a coverage report in a standard format (`addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures — then the real number is read on the next scan.
D11 Test Reliability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Test source is present (.scala) and this repository declares an sbt build (repository root, 284 test files), but it was not re-run: the analyzer environment could not run it. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
D12 Dependency Hygiene — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This repository's dependency manifests WERE read and their pinning discipline assessed; what went unanswered is the currency half, because repo1.maven.org — the registry that answers it — was asked and did not reply (HTTP 429 Too Many Requests from https://repo1.maven.org/maven2/com/github/ben-manes/caffeine/caffeine/maven-metadata.xml). This is OUR side and it is an ENVIRONMENT fault, not a missing collector: the collector exists and ran. An HTTP 403 here is what this scan's egress allowlist returns for a host that is not on it, so the remedy is to add repo1.maven.org to the allowlist and re-run — not to build anything.
D16 Bus Factor — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. Single-maintainer repository — bus factor is not applicable (37 contributor(s) across 3056 commit(s) sampled, automation and bot accounts excluded). One of them holds 95% of the history; the other 36 hold 0.1% each on average, below the 5% at which there is somebody to hand the work to. That is a single maintainer with drive-by contributors, not a team whose knowledge has concentrated — so the bus factor is not applicable and there is nothing here for the owner to act on.
D22 Internal API Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D22 identifies the intentionally-exposed surface from `IsPackable` and `.Contracts` project names, MSBuild conventions read off the loaded project set. This target exposed no such projects, so the probe never ran; this says nothing about whether the repository has a public API. This repository commits no C#/VB source at all, so there was never an MSBuild project set to read these conventions off. That is OUR side and it is an ADMISSION gap, not an environment fault: it declares a published package (project/plugins.sbt), but no published-package marker D22 reads admitted any project here. D22 DOES collect the public API of every language in this tree, and admits a project only when its manifest makes that ecosystem's publication act in a form the marker recognises — so what is missing is not a collector but an admission rule for the publication act this repository makes, if it makes one. The remedy is a better discriminator for that marker — not a collector, and no change to the scan image can close it. The marker's rules are measured to refuse applications, so one refused repository is the rule working as calibrated; several are the evidence that it is too strict. For npm the surface is what a published package.json's entry points (exports, main, module, types) export, followed through the source; an entry that names build output the tree does not commit (dist/, build/) is not followed back to source, because only a tsconfig outDir/rootDir pair states that mapping and a bundler's input lives in executable configuration this engine does not evaluate.
D27 Navigability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Navigability is taken over call sites whose callee resolved. For C# that population includes calls into referenced assemblies; for this language only calls declared inside the repository count, so the abstention threshold reads the repository's use of its standard library as a resolution failure. That is a limit of this analyzer, not a build problem in this repository.
D44 Platform End-of-Life — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This dimension reads a project's own statement about the platform it runs on: a TargetFramework in a .NET project file, a .nvmrc or .python-version, a capped requires-python, a Rust toolchain file or Cargo.toml rust-version, a .go-version, .java-version, .ruby-version, .tool-versions or .sdkmanrc, a go.mod go directive, a Maven or Gradle Java level or toolchain, a Gemfile's ruby directive, a mix.exs elixir requirement, a rebar.config minimum_otp_vsn, a pubspec.yaml SDK constraint, a build.sbt scalaVersion, or a framework major pinned by a dependency constraint. This repository carries none of them, so nothing about its platform was established. That is a gap in this analyzer's coverage, NOT a finding that the platform is supported — a language whose runtime is declared elsewhere (Package.swift, a Dockerfile) is simply not read here yet.
AX1 Captive dependencies — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads Microsoft.Extensions.DependencyInjection registrations in C# and Spring beans in Java/Kotlin only, and this repository's container is Spring (Scala), whose lifetimes are not modelled yet, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
AXR1 Runtime accessibility — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Render strategy: boot via DevServer (dev). the dev server did not expose a crawlable HTTP endpoint in time — no runtime evidence.
C1 Data Protection — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These personal data controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks personal data controls.
C2 Access Controls — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These authorization controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks authorization controls.
C3 Audit Trail — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'com.zaxxer.hikari' is imported (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
C4 Data Retention — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'com.zaxxer.hikari' is imported (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
C5 Data-Subject Rights — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'com.zaxxer.hikari' is imported (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
P1 CI/CD gates — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched — so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Which of the two it is cannot be settled from this dimension's evidence; the coverage dimensions report whether a suite exists at all. You can widen what we reach: name the test runner explicitly in the pipeline step (your stack's test command, or a job named for the suite) so the gate is unambiguous to a reader and to this pass.

Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.

Limitations & what we did not check

Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.

Per-dimension blind spots

For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.

D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement. Its critique rows are drawn from a closed category vocabulary and each row means the same thing in every run, so two scans can be compared row by row; the SET that fires is still a sample, and does not repeat exactly. Measured on one frozen input, six scans at one engine SHA: 2-5 critique rows per scan, 8 distinct rows across the six, 3 of those 8 seen in only one scan. So a D19 row is evidence about the documentation, but a COUNT of D19 rows is not a quantity — never read a change in it as an improvement or a regression.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen. Coverage needs a RESOLVED graph: an unpinned requirements.txt, or a pom without a resolved build, yields partial coverage rather than a clean verdict. An ecosystem the analyzer cannot scan is reported as unmeasured, never as clean.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen — a compromise published in the last hours, or never reported at all, is invisible here, and this dimension reading 10 is not evidence that a dependency is trustworthy. There is no typosquat or dependency-confusion analysis: a package nobody has reported is simply absent from the feeds. Coverage is the dependency scan's: an ecosystem that could not be scanned is disclosed as unmeasured, never as clean.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score; each names its own sample and method on its card. They are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D1 · Cyclomatic Complexity8.4 / 10Strong✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: Documented → Verified → Prevented · effective 8.4 / 10 · rule-coverage 100% · ceiling Prevented

10 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was StringFormatter.parseFormatSpec at 32. A further 3 method(s) were over the threshold but excluded as flat dispatchers (a long switch/match over independent cases: many branches, almost no nesting), the largest being LwcMessages.parse at 22 — they are counted neither in the figure above nor in this dimension's score. 3 files carry no cyclomatic complexity row at all for this reason — every one of their over-threshold methods was excluded, so the exclusion is disclosed nowhere in the file itself: atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala (LwcMessages.parse at 22), atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/TypedLwcEventFilter.scala (TypedLwcEventFilter.matches at 18), atlas-core/src/main/scala/com/netflix/atlas/core/model/Query.scala (Query.simplify at 16). They are named here because the per-file figures other dimensions report are taken BEFORE this exclusion, so such a file can show a high maximum complexity elsewhere in this report and nothing here, with nothing to reconcile the two.

StringFormatter.parseFormatSpec (cyclomatic 32)atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:110

Interpreter.syntaxTree (cyclomatic 28)atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218

LwcToAggrDatapoint.createLogic (cyclomatic 23)atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/LwcToAggrDatapoint.scala:60

PlotDef.bounds (cyclomatic 20)atlas-chart/src/main/scala/com/netflix/atlas/chart/model/PlotDef.scala:68

Interpreter.emitSegmentTokens (cyclomatic 19)atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:684

+ 5 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Bring the 10 bodies over 15 down to 15 or less in Cyclomatic Complexity — start with StringFormatter.parseFormatSpec (cyclomatic 32), Interpreter.syntaxTree (cyclomatic 28), LwcToAggrDatapoint.createLogic (cyclomatic 23). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 10 together lifts Cyclomatic Complexity from 8.4 to about 10.0/10, projected with the scoring formula itself and assuming each lands exactly at 15.
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D2 · Cognitive Complexity6.4 / 10Adequate✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: Documented → Verified → Prevented · effective 6.4 / 10 · rule-coverage 100% · ceiling Prevented

29 method(s) exceeded the cognitive complexity threshold of 15; the worst was Interpreter.syntaxTree at 71.

Interpreter.syntaxTree (cognitive 71)atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218

PlotDef.bounds (cognitive 64)atlas-chart/src/main/scala/com/netflix/atlas/chart/model/PlotDef.scala:68

AslDocumentAnalyzer.computeGlossaryCompletions (cognitive 40)atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:1053

StringFormatter.parseFormatSpec (cognitive 35)atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:110

Interpreter.emitSegmentTokens (cognitive 34)atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:684

+ 24 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Bring the 5 bodies over 30 down to 30 or less in Cognitive Complexity — start with Interpreter.syntaxTree (cognitive 71), PlotDef.bounds (cognitive 64), AslDocumentAnalyzer.computeGlossaryCompletions (cognitive 40). — This score is capped by its worst body, so a finding fixed alone moves it by almost nothing — the next one down takes its place. Refactoring these 5 together lifts Cognitive Complexity from 6.4 to about 7.3/10, projected with the scoring formula itself and assuming each lands exactly at 30; a cleaner split scores higher.
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D3 · God Classes9.0 / 10Strong✓ Tool-verified

What it measures: Over-large classes that try to do too much ("god classes").

Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.0 / 10 · rule-coverage 100% · ceiling Prevented

13 god class(es) detected.

TooManyMethods: AslDocumentAnalyzer · ×7atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:54

FileTooLong: lsp/AslDocumentAnalyzer.scala · ×6atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala

What to do

Resolve the 7 TooManyMethods finding(s) in God Classes — start with AslDocumentAnalyzer.scala, RoaringTagIndex.scala, Strings.scala. — One of this dimension's main actionable groups (7 warning-level).
Resolve the 6 FileTooLong finding(s) in God Classes — start with AslDocumentAnalyzer.scala, MathVocabulary.scala, MathExpr.scala. — One of this dimension's main actionable groups (6 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D4 · Code Duplication9.6 / 10Stronggated by 43 serious findings✓ Tool-verified

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Verified

43 duplicated block group(s) detected.

Duplicated block (10 lines × 2) · ×7atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:264

Duplicated block (8 lines × 2) · ×7atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonCodec.scala:325

Duplicated block (5 lines × 2) · ×4atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:357

Duplicated block (13 lines × 2) · ×3atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:145

Duplicated block (9 lines × 2) · ×3atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:351

+ 13 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 7 Duplicated block (10 lines × 2) finding(s) in Code Duplication — start with RefDoubleHashMap.scala (3), DataSet.scala, IntHashSet.scala. — One of this dimension's main actionable groups (7 warning-level).
Resolve the 7 Duplicated block (8 lines × 2) finding(s) in Code Duplication — start with IntHashSet.scala (2), JsonCodec.scala, AslDocumentAnalyzer.scala. — One of this dimension's main actionable groups (7 warning-level).
Resolve the 4 Duplicated block (5 lines × 2) finding(s) in Code Duplication — start with Block.scala, Interpreter.scala, AslDocumentAnalyzer.scala. — One of this dimension's main actionable groups (4 warning-level).
Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D5 · Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.

Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.

Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

20 production modules (sbt), 0 dependency cycle(s), 0 unstable depended-on module(s). Read from the build's own module declarations; a dependsOn spread (deps: _*) and a project whose directory a helper computes are not visible there; 0 module(s) off the main sequence, with abstractness counted on 19 of the 20 (the rest declare no modelled class or interface, export only macros, declare types in source no model reads, or have no source directory of their own).

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md.

Do you agree with this assessment?

D6 · Cohesion (LCOM4)9.5 / 10Stronggated by 5 serious findings✓ Tool-verified

What it measures: Whether a class's methods are focused on a single responsibility.

Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.

Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.

Maturity: Documented → Verified → Prevented · effective 9.5 / 10 · rule-coverage 100% · ceiling Verified

5 of 113 classes have LCOM4 above 3.

Low cohesion: OpenHashMapReduction (LCOM4 8) · ×5atlas-jmh/src/main/scala/com/netflix/atlas/core/util/OpenHashMapReduction.scala:52

What to do

Resolve the 5 Low cohesion finding(s) in Cohesion (LCOM4) — start with OpenHashMapReduction.scala, NormalizationCache.scala, RoaringTagIndex.scala. — One of this dimension's main actionable groups (5 warning-level).
Enforce Cohesion (LCOM4) in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d6_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.

Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

3295 test methods: 3295 unit, 0 integration, 0 BDD, 0 e2e. The Scala suite contributes 3295 test case(s) across 244 file(s) in a test source set declaring at least one — every `test("…")`, `it("…")`, `property("…")` and `"…" in {…}` registration and every JUnit `@Test`, which is how munit, ScalaTest, utest, ZIO Test and specs2 declare a case; a case registered under a computed name is not counted, so this is a floor. Its tier split is INFERRED from paths and file names, except sbt's src/it source set, which the build declares.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

Do you agree with this assessment?

D13 · Secret Scanning10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

Do you agree with this assessment?

D15 · Churn × Complexity Hotspots9.9 / 10Stronggated by 1 serious finding✓ Tool-verified

What it measures: Files that change often and are also complex — the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

Maturity: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Documented

Top hotspots: atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala (4×28=112)

Hotspot: atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scalaatlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218

What to do

Resolve the 1 Hotspot finding(s) in Churn × Complexity Hotspots — start with Interpreter.scala. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.

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D17 · Explicit Debt10.0 / 10Stronggated by 12 serious findings✓ Tool-verified

What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.

Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

12 deducted task-comment markers across 52860 LoC (0.0/KLoC) → score 10.0. Task comments only: this repository's language is read without a compiler, so D17's suppression, dead-code and commented-out-code arms did not run and this score counts fewer marker kinds than a .NET repository's would.

TodoComment · ×12atlas-chart/src/test/scala/com/netflix/atlas/chart/PngGraphEngineSuite.scala:619

What to do

Resolve the 12 TodoComment finding(s) in Explicit Debt — start with EvaluatorSuite.scala (2), PngGraphEngineSuite.scala, BlockStore.scala. — One of this dimension's main actionable groups (12 warning-level).
Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.

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D19 · Documentation QualityStrong◐ Sampled · advisory

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Strong / 10 · rule-coverage 100% · ceiling Documented

The repository's root README (Atlas) gives a strong overview of the project and links to docs, licensing, and release channels. The atlas-eval/README is an internal work-in-progress helper library with clear usage examples, configuration setup, single-URI publisher code, dynamic set processor, and data-rate-message guidance, clipped mid-document; atlas-lsp/README documents its own directory (Atlas LSP) with a test-client example, editor integration, supported capabilities, glossary, and an outline that all exist. The four directories are READMEs of their own tiers rather than the repository root, so no overview/contribution/contributing or licence guidance is attributed to them.

What to do

Improve Documentation Quality — currently 8.0/10. — The repository's root README (Atlas) gives a strong overview of the project and links to docs, licensing, and release channels. The atlas-eval/README is an internal work-in-progress helper library with clear usage examples, configuration setup, single-URI publisher code, dynamic set processor, and data-rate-message guidance, clipped mid-document; atlas-lsp/README documents its own directory (Atlas LSP) with a test-client example, editor integration, supported capabilities, glossary, and an outline that all exist. The four directories are READMEs of their own tiers rather than the repository root, so no overview/contribution/contributing or licence guidance is attributed to them.

Detailed fixes: d19_recommendation.md.

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D21 · Naming ConsistencyExemplary◐ Sampled · advisory

What it measures: Whether names — types, methods, variables — are clear and consistent.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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D26 · Project Cohesion0.0 / 10Critical✓ Tool-verified

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

1 of 1 build units (sbt) flagged as possibly oversized/incoherent.

Projects may be oversized for their cohesion

What to do

Resolve the 1 Projects may be oversized for their cohesion finding(s) in Project Cohesion. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d26_recommendation.md · top locations in Appendix A, every location in findings.md.

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D28 · Secrets (history)10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.

Method: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged High. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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D29 · Static Analysis (SAST)4.0 / 10Weak✓ Tool-verified

What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: Documented → Verified → Prevented · effective 4.0 / 10 · rule-coverage 100% · ceiling Documented

16 finding(s): 0 critical, 15 high, 1 medium, 0 low. 10 unpinned-GitHub-Actions row(s) are reported here but scored by D36 (supply-chain provenance), which measures that posture as `pinned_actions` — one pinning decision is charged once, not once per lens. Separately, one or more rules could not re-parse an embedded snippet in 1 file(s) (e.g. a workflow `run:` block read as shell). Those files WERE scanned and their other rows are unaffected; only those rules' view of those snippets is missing.

REDACTED

What to do

Resolve the 4 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (4). — One of this dimension's main actionable groups (4 issue-level).
Resolve the 1 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
No action in Static Analysis (SAST) — all 10 REDACTED finding(s) are reported here at file:line but scored by D36 (supply-chain provenance), so none is charged to this dimension. — One of this dimension's main actionable groups (10 issue-level, 0 of them charged here).

Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.

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D30 · Dependency Vulnerabilities8.8 / 10Adequategated by 2 critical findings✓ Tool-verified

What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares — Dart pub, Elixir and Erlang via Hex, Go modules, Java and Kotlin via Maven/Gradle, JavaScript/npm, .NET/NuGet, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift.

Method: Dependency-CVE scan across every ecosystem the repository declares, scored ONCE. Three sources are unioned and deduplicated by advisory identity (rule id + alias closure, CVE<->GHSA) scoped to package+version, keeping the worst severity: `osv-scanner --recursive` over osv.dev for Dart pub, Elixir/Hex (and Erlang, whose `rebar.lock` syft first converts to a CycloneDX SBOM the scanner reads, with rows attributed back to the lock), Go, Java and Kotlin via Maven/Gradle (and Scala, whose sbt build's pinned direct declarations are written into a CycloneDX SBOM the scanner reads, with rows attributed back to the build file), npm, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift; `trivy fs --scanners vuln` for npm lockfiles; and `dotnet list package --vulnerable --include-transitive` for NuGet (with per-advisory collapse of the project x target-framework fan-out), plus a DECLARED-dependency arm that resolves a published gem's gemspec against rubygems.org where no Gemfile.lock is committed. `SeverityScore(c,h,m,l, normalizer 8.0)`. NotApplicable only when NO ecosystem is readable; if any applicable ecosystem could not be scanned the findings are REPORTED and the score is withheld. Supersedes the npm and OSV arms, retired 2026-09-05.

Maturity: Documented → Verified → Prevented · effective 8.8 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 0 critical, 2 high, 0 medium, 0 low.

REDACTED

What to do

Resolve the 2 High CVE finding(s) in Dependency Vulnerabilities — start with REDACTED (2). — One of this dimension's main actionable groups (2 issue-level).

Detailed fixes: d30_recommendation.md · top locations in Appendix A, every location in findings.md.

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D34 · Knowledge Freshness9.9 / 10Exemplary✓ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Documented

2 of 234 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvalDataRateCollector.scala. Counted over 234 of the 421 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

Orphaned file · ×2atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvalDataRateCollector.scala:1

Orphaned files with no living knowledge

✓ On the Gold path — maintain.

Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.

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D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

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D36 · Supply-chain Provenance & Signing2.5 / 10Weak✓ Tool-verified

What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.

Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.

Maturity: Documented → Verified → Prevented · effective 2.5 / 10 · rule-coverage 100% · ceiling Documented

1/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

REDACTED

What to do

Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

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D43 · Malicious Dependencies10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable — a package that is an attacker's work, in any ecosystem osv-scanner reads. Scored apart from D30 because the answer is binary: there is no safe version to upgrade to, and the fix is to remove the package and rotate every credential it could have read.

Method: The same dependency scan D30 reads, partitioned on the scanner's own classification rather than rescanned: a row is MALICIOUS when its id is in the `MAL-` space (the ossf/malicious-packages feed) OR its `database_specific.cwe_ids` carries `CWE-506` ("Embedded Malicious Code"). Both channels are structural; the summary text is deliberately NOT read, because a malicious-package record whose summary says only "Critical severity vulnerability" is a real shape ([GHSA redacted]) and a text matcher misses it. Scored BINARY: any surviving row is 0, whatever its severity and however many CVEs sit beside it — a hostile dependency is not a quantity. Applicability and degradation are D30's: NotApplicable only when no ecosystem is readable, and an unscannable ecosystem degrades rather than reading clean. SCORED, not informational.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No dependency in any ecosystem this repository declares is published as malicious.

✓ On the Gold path — maintain.

Detailed fixes: d43_recommendation.md.

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Frontend & cross-cutting dimensions

R = React/JS · M = Maturity · P = Readiness.

AX10 · Code composition10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.

Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.

Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.

What to do

The domain core is a small share of production code, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.

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AX2 · Stateful singletons10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether singleton services avoid mutable shared instance state that concurrent callers would race on.

Method: Roslyn scan: singleton field mutations unguarded by lock or Interlocked, per type; syntax-based guard detection. Deterministic, traceable per field.

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AX3 · Project dependency cycles10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).

Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.

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AX4 · Dependency direction10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.

Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.

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AX6 · Interface segregation9.9 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').

Method: Roslyn scan: public interface declared-member counts (accessors fold into their property/event); fat-interface threshold (over 15 declared members) flagged per type. Each finding also reports the distinct-OPERATION count — members counted by name, so an overload group counts once — which decides whether it states the caller-side ISP harm or the implementer-side burden of an overload set. TypeScript: exported interfaces that declare behaviour, counted over their REQUIRED operations (method signatures and function-typed properties with no `?`, once per signature) — data-shape interfaces and ambient .d.ts declarations are outside the population; JavaScript declares no interfaces and is not applicable. Deterministic, type-level.

`CopyBuffer` declares 17 abstract members: `putId`, `putString`, `putTagsJson`, `putTagsJsonb`, `putTagsHstore`, `putTagsText`, `putShort`, `putInt`, `putLong`, `putDouble`, `putDoubleArray`, `nextRow`, `hasRemaining`, `remaining`, `rows`, `clear`, `copyIn`. Counted over its ABSTRACT members — a `def` with no body or a `val`/`var` with no initializer, once per signature; concrete members, private and protected members, and members of a companion `object` are not counted, because no implementer is forced to write them. A wide interface forces every implementer and caller to depend on methods they don't use (the Interface-Segregation 'I' in SOLID). Split it into focused role-interfaces. — atlas-postgres/src/main/scala/com/netflix/atlas/postgres/CopyBuffer.scala:39

What to do

Split fat interfaces into focused role-interfaces so clients depend only on what they use.

Do you agree with this assessment?

AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.

Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.

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GD1 · Unfinished & placeholder code10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Unreviewed-generation residue in this repository's Scala: methods whose whole body is still `???` or a "not implemented" throw where nothing overrides them, and placeholder text (lorem ipsum, changeme/replace_me…) left in strings of non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.

Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.

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IC1 · Incompleteness & stubs10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Unfinished work detected by code SHAPE, not keywords, in this repository's Scala: methods whose body is `???` or only throws a "not implemented" error, methods that take inputs and return a constant or do nothing, dead `if (false)` branches, and skeleton classes most of whose methods are holes.

Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, guards that return what the code already falls through to, tests an earlier guard already decided, comparisons against NaN, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.

A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something. (×8) — atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:432, atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:436, atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:440, …

What to do

Clear the softer debt: re-enable or delete `ignore`d and `pending` tests, decide whether each empty method or UnsupportedOperationException is deliberate (and say so in a comment), and replace a bare `// scalastyle:off` or `@nowarn` with targeted, justified suppressions.

Do you agree with this assessment?

M1 · Documentation (README)4.5 / 10Weak✓ Tool-verified

Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

The root README is 104 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no a build/run or getting-started section, no a testing section, no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise — or with no heading at all — is not seen and this row may understate what the document covers.
114 code files changed in the last 6 months but the README was not touched — it may no longer reflect the system.

What to do

Expand the README with getting-started, architecture overview and a project map.
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Review the README against recent changes; refresh the parts that drifted.

Do you agree with this assessment?

M2 · Architecture documentation2.0 / 10Critical✓ Tool-verified

Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.

What to do

Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.

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M3 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

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M4 · Documentation accuracy7.0 / 10Strong◐ Sampled · advisory

Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).

Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.

Do you agree with this assessment?

P1 · CI/CD gates8.5 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

What to do

Run the test suite in CI via an explicit runner step (`sbt test` for the toolchain this pipeline already uses) and gate merges on it.

Do you agree with this assessment?

P10 · Library API & versioning6.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — For a library: a deliberate (small) public API surface and explicit semantic versioning so consumers can depend on it safely.

Method: Roslyn scan: public API surface area and semantic-versioning markers (SemVer attributes, changelog entries) for libraries; off .NET, a library is the ecosystem's publication act (an npm package that is not private and names an entry point, a PyPI distribution with a build system, a Rust library crate, a Maven/Gradle module that publishes, a Go module with no package main, a gemspec, a Composer library, a SwiftPM library product, a pub.dev or Hex package), its surface is the share of types the language model records as public (Rust, Swift, Java, Kotlin, Go, Dart; not measured where the model records no type visibility or, as in TypeScript, only module-level export), and its version is read from the manifest, a semver CHANGELOG, release tooling or semver git tags. Exhaustive, deterministic.

19/21 types (90%) declared in the published library are public. For a library, every public type is a stability contract — keep implementation types off the surface and expose only the intended API.

What to do

Keep implementation types off the public surface (Java: package-private (no modifier), or leave its package out of `module-info` exports) so internals can change without breaking consumers.

Do you agree with this assessment?

P2 · Observability9.0 / 10Exemplary✓ Tool-verified

Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.

Method: Filesystem/Roslyn scan: structured-logging frameworks (Serilog, NLog), OpenTelemetry, and health-check endpoint patterns. Exhaustive, deterministic.

What to do

Add a health-check endpoint (Spring Boot Actuator's /actuator/health, or a /health route) so orchestrators and load balancers can probe liveness/readiness.

Do you agree with this assessment?

P3 · Security & performance tooling4.0 / 10Weak✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

No static application security testing detected. For this repository's stack, add scalafix or scapegoat (or `semgrep --config=auto`, which runs on any language) as a CI step. What was searched, so you can tell an absence from a miss: the 3880 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.

What to do

Add a SAST step to CI running what this repository's stack ships: scalafix or scapegoat — or `semgrep --config=auto`, which runs on any language — so a security regression fails the build instead of landing.
Dependabot is configured but does not watch `npm` — add that `package-ecosystem` entry to REDACTED so those dependencies get the same automatic update and advisory pressure as the ones it already covers.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

Do you agree with this assessment?

P4 · Deployment & Rollback5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

What to do

Make sure a person approves each release. The release job names an environment, but its approval rules live in the code host's settings, where Watchdog can't see them. Check that a reviewer must approve each release, or publish releases as drafts first, so a bad build can be stopped before anyone downloads it.

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P6 · Release Hygiene5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)

What to do

Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.

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PF1 · Benchmark discipline9.5 / 10Exemplary✓ Tool-verified

Readiness · Performance — Whether the code protects its performance with benchmarks — a benchmark suite, allocation/memory measurement, and (ideally) a CI gate. Presence is credited as a bonus, never a deduction.

Method: Repo + source scan: BenchmarkDotNet referenced (csproj/source), [Benchmark]/[MemoryDiagnoser] attribute counts, and a benchmark step in CI; off .NET, the same ladder over Go testing.B, Rust criterion/#[bench]/divan, JMH/kotlinx-benchmark, pytest-benchmark/asv/pyperf, tinybench/mitata/vitest bench/benchmark.js and Swift package-benchmark — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.

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PF2 · Allocation hygiene6.3 / 10Adequate✓ Tool-verified

Readiness · Performance — Whether the code is written to minimise allocations so it doesn't pressure its host's memory manager — buffer/slice views over copies, object pooling, stack or value-type allocation, and buffer writers. Reward-only: credited where present, never penalised where a simpler style is fine.

Method: Production-source scan: density (per 1k LoC) of allocation-aware APIs — in .NET Span/Memory, ArrayPool/ObjectPool, stackalloc, ValueTask, value-type structs, IBufferWriter, string.Create, SkipLocalsInit; off .NET, with comments and strings blanked, Go's sync.Pool, preallocated slices/maps, Grow, strconv.Append* and buf[:0] reuse; the JVM's NIO buffer views, MemorySegment, primitive collections, pools and literal presizes (plus Kotlin primitive arrays and value classes, Scala AnyVal and @specialized); Swift's reserveCapacity, ContiguousArray, withUnsafe* access and ~Copyable. Activated off .NET on the same floor (400 lines, and benchmarks or 8 uses); Rust and garbage-collected scripting languages are not applicable. Reward-only. Deterministic, syntax/text detection.

What to do

Raise allocation-aware density on the hot paths — currently 34 use(s) across 56,594 production line(s) (~0.6/1k). More of the idioms below on the allocation-heavy paths climbs this toward 10.
Java: on hot paths, work through buffer views (ByteBuffer/LongBuffer slices, MemorySegment) instead of copies, avoid boxing with primitive collections (fastutil, Eclipse Collections, HPPC, Trove), presize collections and StringBuilders, and pool expensive buffers (Netty's pooled allocator, commons-pool).
Scala: on hot paths, make small wrappers value classes (extends AnyVal), @specialized generic code over primitives, use primitive collections, and presize builders.

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PF3 · Async & latency hygiene10.0 / 10Exemplary✓ Tool-verified

Readiness · Performance — Whether asynchronous code stays responsive — it avoids sync-over-async blocking (a .NET .Wait()/.GetAwaiter().GetResult(), a time.sleep or blocking HTTP call inside a Python coroutine, a *Sync call inside an async JavaScript function, block_on inside a Rust async fn, runBlocking inside a Kotlin suspend function, block() inside a Reactor publisher) that stalls a thread or event loop and risks deadlock, and, where the code is a reusable library on .NET, awaits with ConfigureAwait(false) so it never captures and stalls its caller's context.

Method: Production-source scan: sync-over-async blocking counted everywhere — .Wait()/.GetAwaiter().GetResult() in .NET; off .NET, read from the language model, a blocking call inside an async function (Python, TS/JS, Rust, Kotlin, Swift, Dart) or inside a Java method returning a Reactor Mono/Flux or a Scala method returning a Future or effect — and, for a .NET library with ≥5 awaits, the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.

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S1 · Web-Security Posture8.0 / 10Strong✓ Tool-verified

Other · Security — Read from this repository's Scala source and the Java beside it: cryptographic hygiene (weak hash or cipher, key material fixed in the source) and outbound TLS (certificate validation, protocol version) — facts about code that hold whether or not it serves anything itself. This repository serves HTTP itself (atlas-pekko/src/main/scala/com/netflix/atlas/pekko/WebServer.scala:68 — `newServerAt`), so its Scala source was also read for the server controls: TLS served or HSTS set, security response headers, cookie flags and inbound validation — each credited where its Scala spelling appears in production source, not proven on every route. A Play application is credited the security headers Play's default `SecurityHeadersFilter` sends unless its build or configuration switches that filter off, and its cookies the HttpOnly flag Play sets by default.

Method: Roslyn plus filesystem scan: HSTS/security headers, secure cookies, input validation, middleware order, weak crypto (MD5/SHA1/DES); HTTPS-metadata context-aware. On a repository with no .NET source it reads JavaScript/TypeScript, Dart, Ruby, Scala, Rust or Elixir source itself (test, vendored, generated and minified paths not) for the arms that hold whether or not the code serves HTTP: a weak hash or cipher, key material fixed in the source, a TLS client that accepts any certificate, and (JavaScript/TypeScript, Ruby, Scala, Rust and Elixir) an obsolete TLS version; the server controls are not assessed there, and a Dart, Ruby, Scala, Rust or Elixir repository that serves no HTTP of its own is N/A on them. Deterministic.

None of the 11 security response headers the OWASP Secure Headers Project recommends (Content-Security-Policy, Strict-Transport-Security, X-Content-Type-Options, X-Frame-Options, …) is set on a response this repository's Scala server sends — defense in depth, even when a proxy could set them. (−2.0 on this card.) The server: atlas-pekko/src/main/scala/com/netflix/atlas/pekko/WebServer.scala:68 — `newServerAt`.

What to do

Set security response headers on what the server sends — keep Play's `SecurityHeadersFilter` enabled, wrap akka/pekko-http routes in `respondWithHeaders(RawHeader("X-Content-Type-Options", "nosniff"), …)`, or add an http4s middleware that sets `Content-Security-Policy`, `X-Content-Type-Options` and a frame policy on every response.

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X1 · Async correctness10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.

Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.

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X12 · Unreachable branch10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether any branch is dead by construction — a switch arm whose label can never equal a case-normalised subject, or an `else if` whose predicate the arm above has already swallowed.

Method: Roslyn syntax + semantics: switch labels compared against the subject's own case normaliser, and if/else-if chains checked for a literal an earlier arm's containment test already swallows. Deterministic, provable per finding. Advisory.

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X13 · Undrained process stream10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a child process that has BOTH standard streams redirected drains both — reading one to the end while the other is never read deadlocks once the child fills the unread pipe.

Method: Roslyn syntax + semantics: ProcessStartInfo launches with both streams redirected, checked for a drain of each stream across the enclosing type. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `spawn` imported from `child_process` whose stdout and stderr are both pipes (no options, no `stdio`, or `stdio` of `'pipe'`), bound to a local that never leaves its scope, where exactly one of the two streams is read, the other never, and the child’s `close`/`exit` (or the read stream’s end) is awaited; a shell redirect in the call’s arguments or a `kill` of the child suppresses it. The same rule reads Python’s `subprocess.Popen`, Dart’s `Process.start`, Ruby’s `Open3.popen3`, and Scala’s JDK process starts (`new ProcessBuilder(…).start()` with no `redirectErrorStream`/`redirectError`/`redirectOutput`/`inheritIO`, `Runtime.getRuntime.exec`) where one of `getInputStream`/`getErrorStream` is read and the other never while `waitFor()` is called or the read stream is read to its end. Deterministic, provable per finding. Advisory.

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X14 · Bypassable address classification10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether a hand-rolled public/private IP check can be walked past — a method that unwraps IPv4-mapped IPv6 but returns the opposite verdict for the same host written as IPv4-compatible, 6to4 or NAT64.

Method: Roslyn syntax + semantics: methods that unwrap IPv4-mapped IPv6 and hand-roll IPv4 range carve-outs, checked for whether the IPv6 branch also accounts for the IPv4-compatible, 6to4 and NAT64 embeddings. Deterministic, provable per finding. Advisory.

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X15 · Unvalidated length from an untrusted reader10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether a length read out of the stream being parsed is bounded before it is allocated or read — an unchecked count taken from the input lets the input choose the allocation.

Method: Roslyn syntax + semantics: integer lengths read from a BinaryReader and spent on a bulk read or an array allocation, checked for any comparison or bounding call on the value anywhere in the method. Deterministic, provable per finding. Advisory.

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X16 · Unfloored truncation loop10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a loop that shortens a string until it fits a length budget has a floor — one with none grinds the value down to the empty string, or past it into a negative-length `Substring`.

Method: Roslyn syntax + semantics: while/do loops whose body's only effect on a string is to drop its last character, checked for whether anything — a direct comparison on the length, a body guard, a break — bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose body’s one assignment to a value is `x = x.slice(0, -1)` or `x = x.slice|substring|substr(0, x.length - 1)`, driven by a condition that reads `x.length` only as a term of a larger expression — never compared directly, never tested for truthiness, and with no other read of `x` — and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.

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X17 · Uncapped recursion over a caller-supplied document10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go — an uncapped walk lets the document's nesting choose the stack depth, and the resulting StackOverflowException cannot be caught.

Method: Roslyn syntax + semantics: methods that take a JSON/XML document node and call themselves with a child of it, reachable from an externally-callable member of the same type that accepts a document, checked for any depth parameter, descent counter or threaded arithmetic anywhere in the walk. On a repository with no .NET source it reads TypeScript off the engine’s own token stream (test, vendored, generated and minified paths and `.d.ts` not) with the same rule: a function or method with a parameter typed as a document value — `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, …) or a DOM node global the file does not rebind — that calls itself (bare, or through `this` for a method, or hands itself to a call over the value as in `value.map(walk)`) with something it took out of that value and never through an ancestor accessor such as `closest()` or `parentElement`, that is exported or reached from an exported function (a public method of the same exported class) taking such a value, and that names no depth, level, nesting, recursion, remaining or budget anywhere and threads no `+`/`-` arithmetic through a self-call. Plain JavaScript is not read: with no annotation nothing tells a parsed document from a tree the code built itself. Deterministic, provable per finding. Advisory.

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X18 · Disposal-pattern correctness10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a type's disposal matches what it OWNS — releasing what it created, leaving alone what it was handed, and not declaring a finalizer for state that has nothing unmanaged to finalize.

Method: Roslyn syntax + semantics: every assignment to a disposable field is read to decide whether the type CREATED the value or was handed it, and the type's disposal is checked against that answer — an injected interface it disposes, a value it constructed and never releases, a finalizer on a type holding nothing unmanaged, and a disposable local whose every reference is a plain member read. A value handed to a container that disposes its contents (a parent control's `Controls` collection, a component `IContainer`) is released by that container and is not reported; generated code is out of population. On a repository with no .NET source the same ownership questions are read in JavaScript/TypeScript off the engine’s own token stream (test, vendored, generated and minified paths not): a class declaring `dispose()`, `[Symbol.dispose]()` or `[Symbol.asyncDispose]()` that disposes a field it was handed through a constructor parameter typed as a repository interface or resolved by a dependency-injection container; that assigns a field only ever from `new X(…)` of a disposable class and neither releases it anywhere in the class nor names it in its disposal member or a method that member calls, nor hands it to anything else; and a `const`/`let` local built from literals only whose every reference opens a statement operating on a non-release member of it. A class is disposable when every repository declaration of its name declares or inherits a disposal member, or when it is a documented library disposable (`vscode` EventEmitter, CancellationTokenSource and Disposable; three.js geometries, materials, textures, render targets, renderers, controls and composers). The finalizer arm has no JavaScript counterpart: a class cannot declare one. Dart is read for the owned-and-never-released arm: a Flutter `State` (or a class declaring `dispose()`/`close()`) whose library-private field is written only with direct creations of a framework controller, `FocusNode`, `StreamController` or periodic `Timer` (or a `.listen(…)` into a field declared `StreamSubscription`), which nothing in the class or its library releases (`dispose`/`close`/`cancel`) and which is never handed on except as a named argument. Ruby is read for the owned-and-never-released arm and the abandoned-local arm: a class declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose instance variable is written only with a blockless core descriptor creation (`File.open`/`new`, `Tempfile`, `Dir.open`, `IO.popen`, the `socket` and `openssl` socket classes) that no method of the class closes and that is never handed on (passed, returned, stored, exposed by `attr_reader`, delegated) — a class whose superclass or mixin lies outside the repository is not judged — and a blockless creation read through and dropped (`File.open(path).read`) or held in a local that is never closed, returned, passed or stored (a `&:read` block-pass, an `autoclose: false` borrow and a `fileno` hand-over are not abandonment). PHP is read for the same two arms: a class (not a trait, and not one using a trait) declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose `private` property (or a `final` class's `protected` one) is written only with a direct core `fopen`, `tmpfile`, `popen`, `proc_open`, `fsockopen`, `stream_socket_client`/`server` or `opendir` that nothing in the class closes (`fclose`, `pclose`, `closedir`, `unset`, a reset to `null`) and that is never handed on, and a handle held in a function's local, or read through as the argument of a reader, that is never closed, returned, passed, captured or stored; a `php://` stream, `curl_init`, `SplFileObject`, `PDO` and a function the repository declares under the core name are not read. Deterministic, provable per finding. Advisory.

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X19 · Unrestored process-global state10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a method that temporarily changes state belonging to the whole process — the working directory, an environment variable — puts it back on EVERY path: a restore reached only when nothing throws leaks the change to the rest of the process.

Method: Roslyn syntax + semantics: method bodies that write the process working directory or an environment variable and write it back in the same body, checked for whether that restore sits in a `finally`/`catch` or only on the straight-line path. On a repository with no .NET source the same rule reads production JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Deno’s `Deno.chdir`/`Deno.env.set`/`Deno.env.delete`, paired per function body (a nested function or arrow is its own body, and module top-level code is none), where the last write puts back a local the body captured from the same global or deletes a variable the first write set, with at least one statement between them; a write in a `catch`/`finally` of that body silences it. Deterministic, provable per finding. Advisory.

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X20 · Mistyped argument guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether an argument guard throws the exception its own condition describes — a guard that rejects a value for being EMPTY and reports it as `NullPointerException` (Java, Kotlin, Scala), `ArgumentError.notNull` (Dart) or `ArgumentNullException` (F#'s `nullArg`) tells the caller a parameter was null when it provably was not.

Method: Roslyn syntax: `throw new ArgumentNullException(nameof(p))` statements controlled by an `if`, whose condition is read for a test that is true of a NON-null `p` — an emptiness test that dereferences it (`p.Count == 0`, `!p.Any()`) or a BCL predicate documented true of the empty value (`string.IsNullOrEmpty(p)`). Deterministic, provable per finding. Advisory.

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X21 · Side-effecting pattern guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a `when` guard is free of side effects — a guard that increments a counter or assigns while deciding whether its arm matches applies that change during PATTERN MATCHING, on an arm that may not be selected, and skips it entirely when a short-circuit to its left answers first.

Method: Roslyn syntax: `when` guards on case labels and switch-expression arms, read for a mutation (`++`/`--`/assignment) sitting in a position the guard's own `&&`/`||`/`??`/`?:`/`?.` can skip. Deterministic, provable per finding. Advisory.

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X22 · Contradicted release guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies — reporting success while the guard hands the primitive back admits a second caller the exclusion was there to keep out, and reporting failure while the guard keeps it leaves nothing to ever give it back.

Method: Roslyn syntax: `try` statements whose `finally` releases a synchronisation primitive under a bare local-bool guard, where the method also TOOK that same primitive before the `try`, checked for a `return` of a bool literal whose value disagrees with the flag state the method's own straight-line assignments put it in. Deterministic, provable per finding. Advisory.

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X23 · Unguarded diagnostic materialisation10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether the work a diagnostic log line costs is paid only when that line is wanted — C# evaluates a call's arguments BEFORE the call, so a trace/debug message joined or projected out of a collection is built in full on every pass, and then discarded by a sink the shipped configuration leaves switched off.

Method: Roslyn syntax: log calls at a diagnostic level (a `Log`-prefixed method naming Trace/Debug/Verbose, or a bare `Debug`/`Trace`/`Verbose` on a receiver named for a logger), whose argument list is read for a call whose cost scales with a sequence — a LINQ operator, a materialisation, `string.Join`, a serializer — with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `debug`/`trace`/`verbose` call on a receiver named for a logger, or a `log`-prefixed method naming the level, whose argument calls an array operator (`map`/`filter`/`reduce`/`sort`/…), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` — outside any arrow or function passed as an argument, which the logger calls only when the level is on — with no enclosing `if`, `&&` or `?:` whose condition names a level, a level string, or the `NODE_ENV`/`__DEV__`/`DEV` build switch. Deterministic, provable per finding. Advisory.

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X24 · Document value interpolated into markup unescaped10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether text read out of the document being converted is escaped before it is written into generated markup — a value the document's author chose, interpolated into an attribute the surrounding literal delimits, can close that attribute and open another.

Method: Roslyn semantic model over the whole compilation: a string-typed `Value`/`InnerText`/`InnerXml`/`Text` member declared inside `DocumentFormat.OpenXml` or `System.Xml` is a taint SOURCE, propagated through assignments, returns, arguments, tuple elements and string composition to its transitive closure, then read at interpolated-string holes that sit in a markup position the surrounding literal itself delimits. Escaper/encoder calls and enclosing validator conditions cut the flow. Flow- and container-insensitive by construction. A second arm needs no provenance at all and reports a type that CONTRADICTS ITSELF — the same expression escaped at one delimited markup hole and interpolated raw at another hole in the same markup position of the same type, which the type's own escaping proves is a defect without knowing where the value came from. On a repository with no .NET source it reads JavaScript/TypeScript off the token stream with the same rule: a DOM read of raw document text (`getAttribute`, `textContent`, `innerText`, `nodeValue`) is the source, propagated through local bindings and string composition, and judged at template-literal and concatenation holes in the same two delimited markup positions; escapers and validating conditions cut it, and documentation-site, test, vendored and minified scripts are not read. Deterministic, provable per finding. Advisory.

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X25 · Inert configuration knob10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a value the caller is invited to supply is the value the type actually uses — a constructor parameter stored in a private field that nothing ever reads while the default it was given is spelled out a second time at the site that should have read it, a keyed lookup that falls back to a different setting than the one its key names while the same type falls back to the matching one for that same key, or a culture-sensitive parse given no format provider by a type that feeds its own settable culture to the same kind of parse elsewhere, or a number an entry point writes to standard output under the host's culture while the same entry point formats with the invariant culture elsewhere. Either way, every caller who supplies a value silently gets something else.

Method: Roslyn syntax: private instance fields of a non-partial type assigned in a constructor from one of its own parameters with a `??` fallback, checked for whether anything in the type body reads the field and whether that same fallback expression is spelled out again outside the constructor; and `??` fallbacks onto a member access from a lookup call carrying exactly one string literal, grouped by that key across the type and checked for a fallback member whose folded name disagrees with the key while a sibling site for the same key agrees with it. On a repository with no .NET source the first two arms read JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `#x`, `private` or `private` parameter-property instance field filled in the constructor from a parameter (or one member of one) through `??`/`||` or a parameter default, never read anywhere in the file by name, whose constructed default is spelled again in the class body; and `lookup("key") ?? s.member` grouped by key per class, or per module outside every class. The culture arm has no JavaScript counterpart: its parses take no locale. Deterministic, provable per finding. Advisory.

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X26 · Unsynchronised callback handoff10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a value handed from a callback to the body that waits on it crosses on something built to be crossed — a `Queue<T>`/`List<T>`/`Dictionary<K,V>` written inside an event handler and read back outside it is mutated by two flows at once, and the semaphore or completion source beside it orders how MANY items exist while leaving the collection's own head, tail and backing array unprotected.

Method: Roslyn syntax: method, accessor, local-function and lambda bodies that declare BOTH a non-thread-safe generic collection (`Queue`/`Stack`/`List`/`Dictionary`/`HashSet`/`Sorted*`/`LinkedList`) and a synchronisation primitive (`SemaphoreSlim`/`TaskCompletionSource`/`ManualResetEvent(Slim)`/`AutoResetEvent`/`CountdownEvent`) as locals, then read for a `+=`-registered lambda that raises that primitive while the body outside every lambda waits on it — and, in that scope, a mutating call on the collection inside the lambda paired with a mention of it outside. Any `lock` in the scope abstains it. On a repository with no .NET source the same handoff is read in Java off the engine’s own token stream (test source sets, vendored and demonstration paths not): an `ArrayList`/`LinkedList`/`ArrayDeque`/`PriorityQueue`/`Hash*`/`LinkedHash*`/`Tree*` local and a `CountDownLatch`/`Semaphore`/`CompletableFuture` local, a lambda or anonymous class that raises the primitive and mutates the collection, and a wait outside it; any `synchronized` or `lock()` abstains the body. Because each of those primitives orders what the callback wrote before raising it, only a touch that provably overlaps the callback is convicted: one after the registration and before the next wait, or one in a loop registered-before, waiting on every pass and not declaring the collection. Deterministic, provable per finding. Advisory.

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X27 · Collection changed while being enumerated10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether an enhanced `for` leaves the collection it is walking alone — a body that adds to or removes from the very collection the loop is iterating invalidates the fail-fast iterator it is holding, so the next `next()` throws `ConcurrentModificationException` and the remaining elements are never seen. Whether a `for` comprehension or `foreach` leaves the mutable collection it is walking alone — an `ArrayBuffer` or `ListBuffer` counts its changes and its iterator checks the count, an `ArrayDeque` (and `mutable.Queue`/`mutable.Stack`) is walked by index up to its starting length, and a `java.util` collection walked through `asScala` is fail-fast, so a body that adds to or removes from the very collection the loop is walking makes a later step throw `ConcurrentModificationException` (`IndexOutOfBoundsException` for a deque) and the remaining elements are never seen.

Method: Roslyn syntax + semantics: `foreach` statements whose body calls a structural mutator (`Add`/`Remove`/`Clear`/`Insert`/…) on the very expression the loop is enumerating. Two arms. ARM A — the source is a concrete fragile BCL collection, or a live `Keys`/`Values` view over one, and the mutator resolves to that same collection's own member; concurrent and immutable collections and arrays are outside the population by construction, since their enumerators survive a structural change. ARM B — the source is an argument-less accessor CALL on a receiver whose body is in source: the accessor must return a stored field VERBATIM and a sibling member must structurally change that same field, both read off the implementations rather than from the members' names. A mutation the loop provably exits immediately after (`break`/`return`/`throw`/`goto`), or one written inside a nested loop or a lambda, is counted and never reported. Deterministic, provable per finding. Advisory.

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X28 · Index access outside its own emptiness guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a condition that tests a value for emptiness indexes that same value only where the test holds — an `||` written one parenthesis too far to the left leaves an index access outside the guard beside it, so the empty case the guard exists to anticipate reaches the index and throws.

Method: Roslyn syntax only, no semantic model: the OUTERMOST `&&`/`||` of every boolean condition, read for a symbol the condition tests for emptiness (`string.IsNullOrEmpty`/`IsNullOrWhiteSpace`, a `Length`/`Count` comparison against a literal, `Any()`, a `Length`/`Count` pattern, or a comparison against `""`) and ALSO indexes. Each `symbol[...]` access is placed by a boolean-reachability walk from the access up to the outermost connective: an access is COVERED when some enclosing step has it in the right operand and the left operand, under the truth value that step forces, proves the symbol non-empty — a recursion over `&&`/`||` whose true- and false-directions are asymmetric. A finding needs BOTH an uncovered access and a covered one on the same symbol in the same condition, which is the agreeing twin that separates a misplaced parenthesis from an unrelated length test. Bare index accesses with no emptiness test in the condition are neither counted nor reported; a non-identifier receiver and a lambda nested inside the condition are outside the population. Deterministic, provable per finding. Advisory.

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X29 · Per-element action decided by a fixed element10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a decision taken once per element is taken ABOUT that element — a test inside a counted loop that reads a fixed subscript of the very collection its guarded statement indexes by the loop variable applies element zero's answer to all of them, so the elements that differ from it are all handled wrongly, and in the same direction.

Method: Roslyn syntax only, no semantic model: every `for` statement declaring exactly ONE loop variable, and every `if` inside its body that is not under a nested loop or a lambda. A site enters the population when the `if`’s condition never mentions the loop variable while the statement it guards indexes some collection by that variable ALONE (`c[i]`; `c[i + 1]` and `c[i, j]` are outside it). A finding additionally needs the AGREEING TWIN at the same-collection grain: the condition must read THAT SAME collection at a subscript that does not move — written into the condition, or reached through a local declared BEFORE the loop, so an alias bound inside the body is not followed. Both collection expressions must be simple identifiers. On a repository with no .NET source the same rule reads JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = …; …; …)` with one declarator and a braced body, an alias followed only when it is declared before the loop in a block that encloses it and never assigned inside the loop. Deterministic, provable per finding. Advisory.

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X3 · Exception handling6.4 / 10Adequate✓ Tool-verified

Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.

Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.

`catch (Exception)` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter. — atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/Evaluator.java:292
`case _: Exception` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter. — atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/DatapointConverter.scala:150

What to do

Swallowed exception (caught, then discarded)

Do you agree with this assessment?

X30 · Support guard that admits what it rejects10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a guard written as a NEGATED `||` says what its author meant — `!(a || b || x != k)` is `!a && !b && x == k` by De Morgan, so a bail-out that mixes capabilities the code needs with a fault it refuses turns inside out: it fires only where the capabilities are ABSENT, and lets every value the fault term names walk straight into the body that cannot handle it.

Method: Roslyn syntax only, no semantic model: every logical-not whose operand is a parenthesised `||` chain of two or more disjuncts, flattened (a left-nested `a || b || c` read once would see `(a || b)` as one disjunct). A site enters the population on that shape alone. A finding additionally needs the disjuncts to DISAGREE in polarity: at least one bare boolean read — an identifier or member access, never an invocation, which is a predicate rather than a capability flag — and at least one `x != <constant>`, the only form that negates into an exact-value pin (`== null` negates into a looser requirement and is outside the fault set). Consistently-polarised disjunctions, all-fault or all-capability, are counted and never reported; a negated `&&` is outside the population entirely. No same-receiver gate: it was measured to cost a real defect and remove no false positive. Deterministic, provable per finding. Advisory.

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X4 · Structured logging4.2 / 10Weak✓ Tool-verified

Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.

Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `trace`/`debug`/`info`/`warn`/`error`/`fatal`/`verbose`/`silly`/`http`/`log` call on a receiver named for a logger, in a package whose own or an enclosing `package.json` declares a logger that carries values as fields (pino, pino-http, nestjs-pino, Fastify, winston, bunyan, tslog, LogTape, roarr), whose first deciding argument is a template literal with substitutions; an object-literal fields argument is stepped over, a plain string message clears the call. Python is read the same way: a `debug`/`info`/`warning`/`error`/`exception`/`critical`/`log` call on a logger in a file that imports the standard library’s `logging` or structlog (loguru, which formats at the call, is not judged), whose message is a whole f-string with a non-constant field; a `%`-formatted, `.format()`-ed or concatenated message is not convicted, as in C#. PHP is read the same way: a PSR-3 level call (`emergency`…`debug`, `log`) on a logger (`$logger`, `$this->logger`, Laravel’s `Log::`, `logger()`, `\Drupal::logger()`) in a package whose `composer.json` requires a PSR-3 logger or a framework that hands one out (psr/log, Monolog, Laravel, Symfony, Drupal, CakePHP), or a file that imports one, whose message is a double-quoted string interpolating a variable; a single-quoted message clears the call, and `sprintf` or `.` concatenation is not convicted, as in C#. Dart is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on Sentry’s structured logger (`Sentry.logger`) whose message is a whole string literal interpolating a value (`$name`, `${…}`); the `Sentry.logger.fmt` template API clears the call. Dart that logs only through loggers with one message and no fields (package:logging, package:logger, talker, dart:developer) is not applicable rather than a reach gap. Ruby is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on the console gem’s `Console` (declared by a Gemfile, gemspec or Gemfile.lock, or required) or, where SemanticLogger, Ougai or dry-logger is declared or required, on a receiver named for a logger (`logger`, `@logger`, `Rails.logger`, `log`), whose first deciding argument is, as the whole argument, a double-quoted string interpolating a non-constant value (`#{…}`, `#@ivar`); a plain literal clears the call, keyword arguments are the fields, and a block, `%`-format or `+` concatenation is not convicted. Ruby that logs only through the standard Logger (Rails.logger) is not applicable rather than a reach gap. Deterministic.

`info` at line 126 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.info("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix. — atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:126
`debug` at line 154 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.debug("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix. — atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:154
`debug` at line 170 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.debug("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix. — atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:170
`warn` at line 582 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.warn("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix. — atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvaluatorImpl.scala:582
`warn` at line 595 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.warn("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix. — atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvaluatorImpl.scala:595

What to do

Interpolated log message defeats structured logging

Do you agree with this assessment?

X5 · Nullable reference types2.0 / 10Critical✓ Tool-verified

Other · Code Health — Whether Scala's null is held to the type system and not undermined by assertions — a file compiled with `-Yexplicit-nulls` is one where `String` excludes null and `String | Null` admits it, a file under WartRemover's `Null` wart or Scalafix's `DisableSyntax.noNulls` is one whose code cannot write `null` and must say `Option`, and each `.nn`, `import scala.language.unsafeNulls` or null-lint suppression is the author overruling that.

Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.

No build over this repository's 398 Scala product file(s) passes `-Yexplicit-nulls`, enables WartRemover's `Null` wart or runs Scalafix's `DisableSyntax.noNulls`, so every reference type admits null and nothing reports a `null` written into the code or returned from a Java API — the first one to reach a method call is a `NullPointerException`. `Option` by convention is a habit no tool here holds the code to.

What to do

On Scala 3, add `-Yexplicit-nulls` to `scalacOptions` so `String` and `String | Null` mean different things, and type each Java API's result as nullable where it can return null; on Scala 2 (or as a first step), enable WartRemover's `Null` wart (`wartremoverErrors += Wart.Null`) or Scalafix's `DisableSyntax.noNulls = true` so the code holds absence in `Option`. Then pay the assertions down rather than adding to them: each `.nn` is a null the compiler could not rule out — wrap the Java value in `Option(…)` at the boundary, pattern-match on `null` once there, or change the API so the null cannot arrive; an `unsafeNulls` import switches the checking off for everything after it.

Do you agree with this assessment?

Reference — by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

Lens	Score	Rating	Impact
Code Health	57%	Adequate — gated by X5	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Architecture	92%	Adequate — gated by D26	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Maturity	55%	Adequate — gated by M2	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	58%	Adequate	Acceptable, with room to improve.
Security	75%	Adequate — gated by D29, D36	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Performance	82%	Strong	Strongest area.

Unscored — 2 check(s) recorded observations but carry no score

These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.

SC1 Supply-chain hygiene — 1 observation(s) recorded · Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X10 Duplicated predicate — 1 observation(s) recorded · Advisory — this card reports evidence and never carries a score.

Not evidenced — 4 control(s) we could not find positive evidence for

These checks grade a working control, and the repository shows no evidence of one. That is deliberately not scored as a zero: a repository cannot show an ops runbook, a database TTL or an infrastructure-side audit log, so absence of evidence here is not evidence the control is missing. It is also not a statement that the check is irrelevant to this codebase — the thing it grades applies; we just could not see it. Excluded from the score either way.

C3 Audit Trail — Not assessed: this repository stores data through 'com.zaxxer.hikari' (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20) but declares no persisted model this check reads (Slick table columns, CREATE TABLE and ALTER TABLE … ADD columns in SQL migrations). Personal data may be written through raw SQL or a hosted backend, so whether its changes need an audit trail could not be established, and the trail's absence is not scored.
C4 Data Retention — Not assessed: this repository stores data through 'com.zaxxer.hikari' (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20) but declares no persisted model this check reads (Slick table columns, CREATE TABLE and ALTER TABLE … ADD columns in SQL migrations). Personal data may be written through raw SQL or a hosted backend, so whether a retention limit applies here could not be established, and its absence is not scored.
C5 Data-Subject Rights — Not assessed: this repository stores data through 'com.zaxxer.hikari' (atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresService.scala:20) but declares no persisted model this check reads (Slick table columns, CREATE TABLE and ALTER TABLE … ADD columns in SQL migrations). Personal data may be written through raw SQL or a hosted backend, so whether data-subject rights apply here could not be established, and their absence is not scored.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control

Not included — 50 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
AXR1 Runtime accessibility — the dev server did not expose a crawlable HTTP endpoint in time — no runtime evidence This is a statement about this run, not a statement about your application: nothing here says the surface is inaccessible, only that it was never rendered.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~40747 lines of test source are present (.scala) but no test cases reached the test census for this repository — no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise — so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included — the .scala suite was found but not re-run
D12 Dependency Hygiene — Dependency currency not established — repo1.maven.org did not answer
D14 License Compliance — Not scored — this repository's 43 pinned sbt dependency coordinate(s) were read from its 6 sbt build file(s), but Maven Central could not be asked for the licence of 43 of them (HTTP 429 Too Many Requests from https://repo1.maven.org/maven2/com/github/ben-manes/caffeine/caffeine/3.2.4/caffeine-3.2.4.pom), and a licence verdict over part of a dependency graph is not a licence verdict. Nothing is asserted about this repository's licensing in either direction.
D16 Bus Factor — single-maintainer repository — bus factor is not applicable
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D22 Internal API Consistency — The exposed public-API surface could not be collected — no C#/VB projects loaded.
D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout, nor 2+ sibling source directories each declaring an aggregate root, nor 2+ projects each declaring an entity of their own. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D27 Navigability — D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.scala), so too few call sites counted as resolved to assess navigability. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.
D32 Data Compliance (PII/GDPR) — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D44 Platform End-of-Life — Platform end-of-life not assessed — this repository declares no platform this pass reads
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
DM1 Domain Modelling — applicable but not scored (1 of 2 signals for this style — below the bar we score at): 381 value object(s)
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, and the automatic-re-run check to any GitHub-Actions workflow, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P7 Outbound HTTP resilience — not applicable — no HTTP server, API framework or worker entry point was found in the JVM source, so there is no service whose uptime a failing dependency could take down
P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`addSbtPlugin("org.scoverage" % "sbt-scoverage" % "<version>")` in `project/plugins.sbt`, then `sbt clean coverage test coverageReport`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, or wire coverage collection into CI, to enable this cross-layer check
X2 Cancellation propagation — no C# was loaded; this repository's Scala and Java were read, and no request in it can be cancelled by a caller — a Scala request takes no token: a Future cannot be cancelled, and cats-effect, ZIO and Monix interrupt the fiber that made the request from outside the call, not through a parameter; a Java request off Android takes no token: it is cancelled through the handle it returns (Future.cancel, Call.cancel, a Disposable), ambiently (io.grpc.Context) or by interrupting its thread, not through a parameter
X32 Type resolved by simple name across every loaded assembly — This check is about how a .NET program searches the assemblies loaded into its process for a type, and this repository contains no .NET source, so there is nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X6 Hand-rolled structured-format parsing — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X7 Silent fallback defaults — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.

Appendix A — Findings (grouped)

The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.

Critical — 17 finding(s)

D29 · Static Analysis (SAST) · REDACTED

REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED
REDACTED

D29 · Static Analysis (SAST) · REDACTED

REDACTED
REDACTED
REDACTED
REDACTED

D30 · Dependency Vulnerabilities · High CVE · ×2

REDACTED
REDACTED

D29 · Static Analysis (SAST) · REDACTED · ×1

REDACTED

Serious — 121 finding(s)

D17 · Explicit Debt · TodoComment · ×12

TodoComment atlas-chart/src/test/scala/com/netflix/atlas/chart/PngGraphEngineSuite.scala:619 — // TODO: fix to show label — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-core/src/main/scala/com/netflix/atlas/core/db/BlockStore.scala:201 — // TODO: use proper aggregate — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-core/src/test/scala/com/netflix/atlas/core/util/StringsSuite.scala:295 — // TODO: Need a combination of period with duration using java.time, similar to joda Period — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/FinalExprEval.scala:72 — // Maintains the state for each expression we need to evaluate. TODO: implement — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:367 — // TODO - these datasources changes tests are ignored as they are currently relying — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:421 — // TODO - We should have a better trigger. Can't trigger off DPs as if duplication breaks, — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EddaGroupsLookupSuite.scala:107 — // TODO: check for diagnostic message — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-jmh/src/main/scala/com/netflix/atlas/core/util/StringMatching.scala:60 — // TODO — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:567 — // TODO: Replace with TypedMacro that declares pop/push counts. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-lwcapi/src/main/scala/com/netflix/atlas/lwcapi/SubscribeApi.scala:137 — // TODO - A client can connect but not send a message. When that happens, the — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-webapi/src/main/scala/com/netflix/atlas/webapi/LocalPublishActor.scala:42 — // TODO: This actor is only intended to work with MemoryDatabase, but the binding is — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment atlas-webapi/src/test/scala/com/netflix/atlas/webapi/ExprApiSuite.scala:191 — // TODO: Right now these fail. As a future improvement suggestions should be possible within — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: #123`), so the task is planned where tasks live and the ticket links back to the code.

D3 · God Classes · TooManyMethods · ×7

TooManyMethods: AslDocumentAnalyzer atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:54 — TooManyMethods — 50 methods. The bar is 30 methods; this is 20 over it, 1.67× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: RoaringTagIndex atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:43 — TooManyMethods — 43 methods. The bar is 30 methods; this is 13 over it, 1.43× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Strings atlas-core/src/main/scala/com/netflix/atlas/core/util/Strings.scala:31 — TooManyMethods — 42 methods. The bar is 30 methods; this is 12 over it, 1.40× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: TimeSeriesBuffer atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:113 — TooManyMethods — 35 methods. The bar is 30 methods; this is 5 over it, 1.17× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: PublishPayloads atlas-webapi/src/main/scala/com/netflix/atlas/webapi/PublishPayloads.scala:33 — TooManyMethods — 33 methods. The bar is 30 methods; this is 3 over it, 1.10× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Ticks atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/Ticks.scala:32 — TooManyMethods — 32 methods. The bar is 30 methods; this is 2 over it, 1.07× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: SqlUtils REDACTED:29 — TooManyMethods — 32 methods. The bar is 30 methods; this is 2 over it, 1.07× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.

D4 · Code Duplication · Duplicated block (10 lines × 2) · ×7

Duplicated block (10 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:264 — atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:264-273 | atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:277-286 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:264` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:54 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:54-63 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala:50-59 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala` as WHOLE FILES: 87% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 3 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (10 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:63 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:63-72 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:63-72 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:63` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:75 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:75-84 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:75-84 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (10 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:164 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:164-173 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:187-196 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:164` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/Glossary.scala:169 — atlas-lsp/src/main/scala/com/netflix/atlas/lsp/Glossary.scala:169-178 | atlas-lsp/src/main/scala/com/netflix/atlas/lsp/Glossary.scala:192-201 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-lsp/src/main/scala/com/netflix/atlas/lsp/Glossary.scala:169` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:116 — atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:116-125 | atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:298-307 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:116` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (8 lines × 2) · ×7

Duplicated block (8 lines × 2) atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonCodec.scala:325 — atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonCodec.scala:325-332 | atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonCodec.scala:339-346 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (8 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:67 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:67-74 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala:63-70 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala` as WHOLE FILES: 87% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 3 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:67` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (8 lines × 2) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:428 — atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:428-435 | atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:438-445 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (8 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:86 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:86-93 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala:82-89 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala` as WHOLE FILES: 87% of the shorter file's lines also appear in the other, so this reads as one file having been copied from the other rather than as a helper waiting to be extracted. The 3 duplicated block(s) this scan matched between them are fragments of that copy, not the extent of it — treat the file pair as the unit. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (8 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:132 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:132-139 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongIntHashMap.scala:134-141 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (8 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:211 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:211-218 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:171-178 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place.
Duplicated block (8 lines × 2) atlas-json3/src/main/scala/com/netflix/atlas/json3/JsonSupport.scala:43 — atlas-json3/src/main/scala/com/netflix/atlas/json3/JsonSupport.scala:43-50 | atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/LwcEvent.scala:101-108 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.

D3 · God Classes · FileTooLong · ×6

FileTooLong: lsp/AslDocumentAnalyzer.scala atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala — FileTooLong — 977 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 477 over it, 1.95× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: model/MathVocabulary.scala atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala — FileTooLong — 967 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 467 over it, 1.93× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: model/MathExpr.scala atlas-core/src/main/scala/com/netflix/atlas/core/model/MathExpr.scala — FileTooLong — 687 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 187 over it, 1.37× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: model/StatefulVocabulary.scala atlas-core/src/main/scala/com/netflix/atlas/core/model/StatefulVocabulary.scala — FileTooLong — 553 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 53 over it, 1.11× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: index/RoaringTagIndex.scala atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala — FileTooLong — 539 significant lines (blank, comment-only and punctuation-only lines excluded), about 91% of them inside a single declaration: RoaringTagIndex (43-1006). The bar is 500 significant lines; this is 39 over it, 1.08× the bar. Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: model/Block.scala atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala — FileTooLong — 504 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 4 over it, 1.01× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.

D6 · Cohesion (LCOM4) · Low cohesion · ×5

Low cohesion: OpenHashMapReduction (LCOM4 8) atlas-jmh/src/main/scala/com/netflix/atlas/core/util/OpenHashMapReduction.scala:52 — OpenHashMapReduction's methods fall into 8 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 8 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: NormalizationCache (LCOM4 5) atlas-core/src/main/scala/com/netflix/atlas/core/norm/NormalizationCache.scala:22 — NormalizationCache's methods fall into 5 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 5 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: RoaringTagIndex (LCOM4 4) atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:43 — RoaringTagIndex's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: PublishPayloadsBench (LCOM4 4) atlas-jmh/src/main/scala/com/netflix/atlas/webapi/PublishPayloadsBench.scala:46 — PublishPayloadsBench's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: ConfigApi (LCOM4 4) atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ConfigApi.scala:44 — ConfigApi's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.

D4 · Code Duplication · Duplicated block (5 lines × 2) · ×4

Duplicated block (5 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:357 — atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:357-361 | atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:415-419 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:357` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:645 — atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:645-649 | atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:770-774 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:645` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:279 — atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:279-283 | atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:311-315 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:276` calls `setTags`, `of` and `atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:308` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (5 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/ByteBufferInputStream.scala:45 — atlas-core/src/main/scala/com/netflix/atlas/core/util/ByteBufferInputStream.scala:45-49 | atlas-core/src/main/scala/com/netflix/atlas/core/util/CharBufferReader.scala:43-47 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.

D4 · Code Duplication · Duplicated block (13 lines × 2) · ×3

Duplicated block (13 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:145 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:145-157 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:151-163 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (13 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:225 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:225-237 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:185-197 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (13 lines × 2) atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:71 — atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:71-83 | atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:88-100 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:71` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (9 lines × 2) · ×3

Duplicated block (9 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:351 — atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:351-359 | atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:562-570 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:351` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/UnitPrefix.scala:139 — atlas-core/src/main/scala/com/netflix/atlas/core/util/UnitPrefix.scala:139-147 | atlas-core/src/main/scala/com/netflix/atlas/core/util/UnitPrefix.scala:158-166 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/UnitPrefix.scala:139` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala:39 — atlas-core/src/main/scala/com/netflix/atlas/core/util/LongHashSet.scala:39-47 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongIntHashMap.scala:40-48 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.

D4 · Code Duplication · Duplicated block (7 lines × 2) · ×3

Duplicated block (7 lines × 2) atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:113 — atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:113-119 | atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:209-215 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:113` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:164 — atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:164-170 | atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:263-271 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/ValueAxis.scala:263` it runs out through the closing brace of the declaration holding it and carries on into the declaration that follows — the window is the tail of one member plus the head of the next, so no call can be substituted for those exact lines, and the smallest declaration that contains all of them is the type they sit in. The repeated unit is the member each site sits in: where those members' bodies are the same, move one whole member to the shared location and have the others delegate to it; where the copies are a run of near-identical overloads or wrappers that differ only in their signatures, the repetition IS the run — a one-line delegation has no helper inside it to lift — so generate the run from the set it enumerates, or accept it and keep each member's own documentation with it.
Duplicated block (7 lines × 2) atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/DatapointConverter.scala:133 — atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/DatapointConverter.scala:133-139 | atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/TypedLwcEventFilter.scala:226-232 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/DatapointConverter.scala:133` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (17 lines × 2) · ×2

Duplicated block (17 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:122 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:122-138 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:122-138 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.
Duplicated block (17 lines × 2) atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:118 — atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:118-134 | atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:151-167 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:118` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:116` calls `sort` and `atlas-jmh/src/main/scala/com/netflix/atlas/core/index/BatchRebuild.scala:149` does not — after which the two agree again for 4 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (15 lines × 2) · ×2

Duplicated block (15 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:65 — atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:65-79 | atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:105-119 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:65` it runs out through the closing brace of the declaration holding it and carries on into the declaration that follows — the window is the tail of one member plus the head of the next, so no call can be substituted for those exact lines, and the smallest declaration that contains all of them is the type they sit in. The repeated unit is the member each site sits in: where those members' bodies are the same, move one whole member to the shared location and have the others delegate to it; where the copies are a run of near-identical overloads or wrappers that differ only in their signatures, the repetition IS the run — a one-line delegation has no helper inside it to lift — so generate the run from the set it enumerates, or accept it and keep each member's own documentation with it. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:80` calls `withTags`, `noise` and `atlas-core/src/main/scala/com/netflix/atlas/core/db/DataSet.scala:120` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (15 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:101 — atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala:101-115 | atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala:101-115 — before extracting anything, compare `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefDoubleHashMap.scala` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/RefIntHashMap.scala` as WHOLE FILES: this scan already matched 7 separate duplicated blocks between them, totalling at least 86 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. If that is what happened, the fix is to keep one copy and have the other call it (or delete it), which resolves this row and its siblings together — extracting one helper per block leaves the fork in place. Each matched range is the entire body of the declaration above it, so the region is already a complete unit: move that whole declaration to the shared location and have each site call it, rather than lifting the lines out of their bodies. Any `return` inside it is the body's own exit and keeps its meaning in the moved unit.

D4 · Code Duplication · Duplicated block (9 lines × 3) · ×2

Duplicated block (9 lines × 3) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:70 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:70-78 | atlas-core/src/main/scala/com/netflix/atlas/core/util/IntRefHashMap.scala:80-88 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongIntHashMap.scala:70-78 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:70` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (9 lines × 3) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:43 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntHashSet.scala:43-51 | atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:44-52 | atlas-core/src/main/scala/com/netflix/atlas/core/util/IntRefHashMap.scala:50-58 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:40` calls `hash`, `reduce`, `lowbias32` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntRefHashMap.scala:48` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (6 lines × 2) · ×2

Duplicated block (6 lines × 2) atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:32 — atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:32-37 | atlas-chart/src/main/scala/com/netflix/atlas/chart/StatsJsonGraphEngine.scala:36-41 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `atlas-chart/src/main/scala/com/netflix/atlas/chart/StatsJsonGraphEngine.scala:42` calls `writeNumberProperty` and `atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:38` does not — after which the two agree again for 4 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.
Duplicated block (6 lines × 2) atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:352 — atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:352-357 | atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:373-378 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:352` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:364` calls `aggrBlock`, `min` and `atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:351` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

X3 · Exception handling · Swallowed exception (caught, then discarded) · ×2

Swallowed exception (caught, then discarded) atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/Evaluator.java:292 — `catch (Exception)` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
Swallowed exception (caught, then discarded) atlas-lwc-events/src/main/scala/com/netflix/atlas/lwc/events/DatapointConverter.scala:150 — `case _: Exception` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.

D1 · Cyclomatic Complexity · StringFormatter.parseFormatSpec (cyclomatic 32) · ×1

StringFormatter.parseFormatSpec (cyclomatic 32) atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:110 — StringFormatter.parseFormatSpec has cyclomatic complexity 32 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D1 · Cyclomatic Complexity · Interpreter.syntaxTree (cyclomatic 28) · ×1

Interpreter.syntaxTree (cyclomatic 28) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218 — Interpreter.syntaxTree has cyclomatic complexity 28 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · LwcToAggrDatapoint.createLogic (cyclomatic 23) · ×1

LwcToAggrDatapoint.createLogic (cyclomatic 23) atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/LwcToAggrDatapoint.scala:60 — LwcToAggrDatapoint.createLogic has cyclomatic complexity 23 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · PlotDef.bounds (cyclomatic 20) · ×1

PlotDef.bounds (cyclomatic 20) atlas-chart/src/main/scala/com/netflix/atlas/chart/model/PlotDef.scala:68 — PlotDef.bounds has cyclomatic complexity 20 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · Interpreter.emitSegmentTokens (cyclomatic 19) · ×1

Interpreter.emitSegmentTokens (cyclomatic 19) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:684 — Interpreter.emitSegmentTokens has cyclomatic complexity 19 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D1 · Cyclomatic Complexity · TimeGrouped.createLogic (cyclomatic 19) · ×1

TimeGrouped.createLogic (cyclomatic 19) atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/TimeGrouped.scala:82 — TimeGrouped.createLogic has cyclomatic complexity 19 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D1 · Cyclomatic Complexity · AslDocumentAnalyzer.computeGlossaryCompletions (cyclomatic 18) · ×1

AslDocumentAnalyzer.computeGlossaryCompletions (cyclomatic 18) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:1053 — AslDocumentAnalyzer.computeGlossaryCompletions has cyclomatic complexity 18 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · DefaultGraphEngine.createImage (cyclomatic 16) · ×1

DefaultGraphEngine.createImage (cyclomatic 16) atlas-chart/src/main/scala/com/netflix/atlas/chart/DefaultGraphEngine.scala:50 — DefaultGraphEngine.createImage has cyclomatic complexity 16 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D1 · Cyclomatic Complexity · SimpleTagIndex.findImpl (cyclomatic 16) · ×1

SimpleTagIndex.findImpl (cyclomatic 16) atlas-core/src/main/scala/com/netflix/atlas/core/index/SimpleTagIndex.scala:52 — SimpleTagIndex.findImpl has cyclomatic complexity 16 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.

D1 · Cyclomatic Complexity · AslDocumentAnalyzer.buildDocumentSymbols (cyclomatic 16) · ×1

AslDocumentAnalyzer.buildDocumentSymbols (cyclomatic 16) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:380 — AslDocumentAnalyzer.buildDocumentSymbols has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D15 · Churn × Complexity Hotspots · Hotspot · ×1

Hotspot: atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218 — atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala changed 4 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 28 in Interpreter.syntaxTree at line 218. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-07-24..2026-10-22, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-24 11:44:05 -05:00' --until='2026-10-22 11:44:05 -05:00' --full-history --no-merges -- atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.

D2 · Cognitive Complexity · Interpreter.syntaxTree (cognitive 71) · ×1

Interpreter.syntaxTree (cognitive 71) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:218 — Interpreter.syntaxTree has cognitive complexity 71 (threshold 15). Drivers by points: if/else 12 (32 pts), match/switch 9 (32 pts), error handling 1 (5 pts), loops 2 (nesting depth added 47). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · PlotDef.bounds (cognitive 64) · ×1

PlotDef.bounds (cognitive 64) atlas-chart/src/main/scala/com/netflix/atlas/chart/model/PlotDef.scala:68 — PlotDef.bounds has cognitive complexity 64 (threshold 15). Drivers by points: if/else 24 (58 pts), boolean chains 4, loops 1 (2 pts) (nesting depth added 35). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.

D2 · Cognitive Complexity · AslDocumentAnalyzer.computeGlossaryCompletions (cognitive 40) · ×1

AslDocumentAnalyzer.computeGlossaryCompletions (cognitive 40) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:1053 — AslDocumentAnalyzer.computeGlossaryCompletions has cognitive complexity 40 (threshold 15). Drivers by points: if/else 17 (25 pts), match/switch 4 (11 pts), loops 1 (3 pts), boolean chains 1 (nesting depth added 17). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · StringFormatter.parseFormatSpec (cognitive 35) · ×1

StringFormatter.parseFormatSpec (cognitive 35) atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:110 — StringFormatter.parseFormatSpec has cognitive complexity 35 (threshold 15). Drivers by points: if/else 14 (16 pts), boolean chains 11, loops 4 (5 pts), match/switch 2 (3 pts) (nesting depth added 4). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.

D2 · Cognitive Complexity · Interpreter.emitSegmentTokens (cognitive 34) · ×1

Interpreter.emitSegmentTokens (cognitive 34) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:684 — Interpreter.emitSegmentTokens has cognitive complexity 34 (threshold 15). Drivers by points: if/else 7 (13 pts), loops 5 (13 pts), boolean chains 8 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · TimeGrouped.createLogic (cognitive 30) · ×1

TimeGrouped.createLogic (cognitive 30) atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/TimeGrouped.scala:82 — TimeGrouped.createLogic has cognitive complexity 30 (threshold 15). Drivers by points: if/else 20 (25 pts), boolean chains 3, loops 1, match/switch 1 (nesting depth added 5). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.

D2 · Cognitive Complexity · AslDocumentAnalyzer.computeUnicodeCompletions (cognitive 29) · ×1

AslDocumentAnalyzer.computeUnicodeCompletions (cognitive 29) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:1221 — AslDocumentAnalyzer.computeUnicodeCompletions has cognitive complexity 29 (threshold 15). Drivers by points: if/else 10 (22 pts), boolean chains 3, loops 1 (2 pts), match/switch 1 (2 pts) (nesting depth added 14). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.

D2 · Cognitive Complexity · AslDocumentAnalyzer.buildDocumentSymbols (cognitive 26) · ×1

AslDocumentAnalyzer.buildDocumentSymbols (cognitive 26) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:380 — AslDocumentAnalyzer.buildDocumentSymbols has cognitive complexity 26 (threshold 15). Drivers by points: if/else 9 (18 pts), match/switch 3 (6 pts), boolean chains 2 (nesting depth added 12). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D2 · Cognitive Complexity · UriParser.percentDecode (cognitive 24) · ×1

UriParser.percentDecode (cognitive 24) atlas-core/src/main/scala/com/netflix/atlas/core/uri/UriParser.scala:158 — UriParser.percentDecode has cognitive complexity 24 (threshold 15). Drivers by points: if/else 9 (18 pts), boolean chains 4, loops 2 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Percentiles.estimatePercentiles (cognitive 23) · ×1

Percentiles.estimatePercentiles (cognitive 23) atlas-core/src/main/scala/com/netflix/atlas/core/model/MathExpr.scala:933 — Percentiles.estimatePercentiles has cognitive complexity 23 (threshold 15). Drivers by points: if/else 7 (11 pts), loops 4 (10 pts), match/switch 1 (2 pts) (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ApproxDistinct.estimateDistinct (cognitive 23) · ×1

ApproxDistinct.estimateDistinct (cognitive 23) atlas-core/src/main/scala/com/netflix/atlas/core/model/MathExpr.scala:1120 — ApproxDistinct.estimateDistinct has cognitive complexity 23 (threshold 15). Drivers by points: if/else 6 (14 pts), loops 3 (7 pts), boolean chains 2 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · DefaultGraphEngine.createImage (cognitive 22) · ×1

DefaultGraphEngine.createImage (cognitive 22) atlas-chart/src/main/scala/com/netflix/atlas/chart/DefaultGraphEngine.scala:50 — DefaultGraphEngine.createImage has cognitive complexity 22 (threshold 15). Drivers by points: if/else 14 (17 pts), boolean chains 5 (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.

D2 · Cognitive Complexity · RoaringTagIndex.findValues (cognitive 22) · ×1

RoaringTagIndex.findValues (cognitive 22) atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:899 — RoaringTagIndex.findValues has cognitive complexity 22 (threshold 15). Drivers by points: if/else 10 (18 pts), loops 1 (3 pts), boolean chains 1 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Block.compress (cognitive 22) · ×1

Block.compress (cognitive 22) atlas-core/src/main/scala/com/netflix/atlas/core/model/Block.scala:44 — Block.compress has cognitive complexity 22 (threshold 15). Drivers by points: if/else 10 (20 pts), loops 1 (2 pts) (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · AslDocumentAnalyzer.buildStackSourceMap (cognitive 22) · ×1

AslDocumentAnalyzer.buildStackSourceMap (cognitive 22) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:184 — AslDocumentAnalyzer.buildStackSourceMap has cognitive complexity 22 (threshold 15). Drivers by points: if/else 6 (11 pts), loops 2 (6 pts), match/switch 2 (5 pts) (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · AslDocumentAnalyzer.renderNode (cognitive 22) · ×1

AslDocumentAnalyzer.renderNode (cognitive 22) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:619 — AslDocumentAnalyzer.renderNode has cognitive complexity 22 (threshold 15). Drivers by points: if/else 12 (18 pts), boolean chains 3, match/switch 1 (nesting depth added 6). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.

D2 · Cognitive Complexity · MapStepTimeSeq.apply (cognitive 18) · ×1

MapStepTimeSeq.apply (cognitive 18) atlas-core/src/main/scala/com/netflix/atlas/core/model/TimeSeq.scala:189 — MapStepTimeSeq.apply has cognitive complexity 18 (threshold 15). Drivers by points: if/else 9 (15 pts), loops 1 (2 pts), boolean chains 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · StringFormatter.formatInteger (cognitive 18) · ×1

StringFormatter.formatInteger (cognitive 18) atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:250 — StringFormatter.formatInteger has cognitive complexity 18 (threshold 15). Drivers by points: if/else 13 (17 pts), match/switch 1 (nesting depth added 4). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.

D2 · Cognitive Complexity · AslDocumentAnalyzer.literalContext (cognitive 18) · ×1

AslDocumentAnalyzer.literalContext (cognitive 18) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:662 — AslDocumentAnalyzer.literalContext has cognitive complexity 18 (threshold 15). Drivers by points: if/else 8 (12 pts), match/switch 2 (5 pts), loops 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · TimeSeriesBuffer.average (cognitive 17) · ×1

TimeSeriesBuffer.average (cognitive 17) atlas-core/src/main/scala/com/netflix/atlas/core/db/TimeSeriesBuffer.scala:207 — TimeSeriesBuffer.average has cognitive complexity 17 (threshold 15). Drivers by points: if/else 6 (13 pts), loops 2 (4 pts) (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · OpenHashInternMap.retain (cognitive 17) · ×1

OpenHashInternMap.retain (cognitive 17) atlas-core/src/main/scala/com/netflix/atlas/core/util/InternMap.scala:209 — OpenHashInternMap.retain has cognitive complexity 17 (threshold 15). Drivers by points: if/else 6 (9 pts), loops 3 (6 pts), boolean chains 2 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · StringFormatter.format (cognitive 17) · ×1

StringFormatter.format (cognitive 17) atlas-core/src/main/scala/com/netflix/atlas/core/util/StringFormatter.scala:63 — StringFormatter.format has cognitive complexity 17 (threshold 15). Drivers by points: if/else 5 (11 pts), match/switch 1 (4 pts), boolean chains 1, loops 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Grapher.create (cognitive 17) · ×1

Grapher.create (cognitive 17) atlas-eval/src/main/scala/com/netflix/atlas/eval/graph/Grapher.scala:332 — Grapher.create has cognitive complexity 17 (threshold 15). Drivers by points: if/else 9 (14 pts), match/switch 2, boolean chains 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · LwcToAggrDatapoint.createLogic (cognitive 17) · ×1

LwcToAggrDatapoint.createLogic (cognitive 17) atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/LwcToAggrDatapoint.scala:60 — LwcToAggrDatapoint.createLogic has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (8 pts), match/switch 5 (6 pts), boolean chains 3 (nesting depth added 2). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D2 · Cognitive Complexity · RoaringTagIndex.strPattern (cognitive 16) · ×1

RoaringTagIndex.strPattern (cognitive 16) atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:771 — RoaringTagIndex.strPattern has cognitive complexity 16 (threshold 15). Drivers by points: if/else 6 (12 pts), loops 1 (3 pts), boolean chains 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · RoaringTagIndex.findKeys (cognitive 16) · ×1

RoaringTagIndex.findKeys (cognitive 16) atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:866 — RoaringTagIndex.findKeys has cognitive complexity 16 (threshold 15). Drivers by points: if/else 5 (9 pts), loops 3 (7 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Query.appendChain (cognitive 16) · ×1

Query.appendChain (cognitive 16) atlas-core/src/main/scala/com/netflix/atlas/core/model/Query.scala:210 — Query.appendChain has cognitive complexity 16 (threshold 15). Drivers by points: if/else 6, loops 3 (5 pts), match/switch 2 (5 pts) (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · NormalizeValueFunction.apply (cognitive 16) · ×1

NormalizeValueFunction.apply (cognitive 16) atlas-core/src/main/scala/com/netflix/atlas/core/norm/NormalizeValueFunction.scala:56 — NormalizeValueFunction.apply has cognitive complexity 16 (threshold 15). Drivers by points: if/else 7 (11 pts), loops 1 (4 pts), boolean chains 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Interpreter.tokenize (cognitive 16) · ×1

Interpreter.tokenize (cognitive 16) atlas-core/src/main/scala/com/netflix/atlas/core/stacklang/Interpreter.scala:637 — Interpreter.tokenize has cognitive complexity 16 (threshold 15). Drivers by points: if/else 6 (11 pts), boolean chains 3, loops 2 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D29 · Static Analysis (SAST) · REDACTED · ×1

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D36 · Supply-chain Provenance & Signing · REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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D4 · Code Duplication · Duplicated block (21 lines × 2) · ×1

Duplicated block (21 lines × 2) atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:148 — atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:148-168 | atlas-pekko/src/main/scala/com/netflix/atlas/pekko/ClusterOps.scala:341-361 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (20 lines × 2) · ×1

Duplicated block (20 lines × 2) atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:38 — atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:38-57 | atlas-chart/src/main/scala/com/netflix/atlas/chart/StatsJsonGraphEngine.scala:43-62 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `atlas-chart/src/main/scala/com/netflix/atlas/chart/StatsJsonGraphEngine.scala:41` calls `writeNumberProperty` and `atlas-chart/src/main/scala/com/netflix/atlas/chart/JsonGraphEngine.scala:36` does not — after which the two agree again for 3 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (14 lines × 2) · ×1

Duplicated block (14 lines × 2) atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresTagIndex.scala:50 — atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresTagIndex.scala:50-63 | atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresTagIndex.scala:71-84 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-postgres/src/main/scala/com/netflix/atlas/postgres/PostgresTagIndex.scala:50` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (12 lines × 3) · ×1

Duplicated block (12 lines × 3) atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/Ticks.scala:439 — atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/Ticks.scala:439-450 | atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/Ticks.scala:508-519 | atlas-chart/src/main/scala/com/netflix/atlas/chart/graphics/Ticks.scala:546-557 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited.

D4 · Code Duplication · Duplicated block (11 lines × 2) · ×1

Duplicated block (11 lines × 2) atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala:275 — atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala:275-285 | atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala:288-298 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala:299` calls `encode` and `atlas-eval/src/main/scala/com/netflix/atlas/eval/model/LwcMessages.scala:286` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (10 lines × 3) · ×1

Duplicated block (10 lines × 3) atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:57 — atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:57-66 | atlas-core/src/main/scala/com/netflix/atlas/core/util/IntRefHashMap.scala:63-72 | atlas-core/src/main/scala/com/netflix/atlas/core/util/LongIntHashMap.scala:53-62 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from all 3 call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:57` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note first that the copies are not typed on the same thing: the declarations holding them bind `noData` to `Int` in one and `Long` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just after the matched lines, `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntRefHashMap.scala:74` calls `hash`, `reduce`, `lowbias32` and `atlas-core/src/main/scala/com/netflix/atlas/core/util/IntIntHashMap.scala:68` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (6 lines × 3) · ×1

Duplicated block (6 lines × 3) atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:336 — atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:336-341 | atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:346-351 | atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:361-366 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-lsp/src/main/scala/com/netflix/atlas/lsp/AslDocumentAnalyzer.scala:336` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (12 lines × 2) · ×1

Duplicated block (12 lines × 2) atlas-lsp/src/main/java/com/netflix/atlas/lsp/AslLspServer.java:88 — atlas-lsp/src/main/java/com/netflix/atlas/lsp/AslLspServer.java:88-99 | atlas-lsp/src/main/java/com/netflix/atlas/lsp/UriLspServer.java:83-94 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `atlas-lsp/src/main/java/com/netflix/atlas/lsp/AslLspServer.java:88` it runs out through the closing brace of the declaration holding it — the window is that declaration's tail, not a fragment that begins part-way through something, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.

M1 · Documentation (README) · README may be stale · ×1

README may be stale — 114 code files changed in the last 6 months but the README was not touched — it may no longer reflect the system.

SC1 · Supply-chain hygiene · JavaScript dependencies are not locked · ×1

JavaScript dependencies are not locked — No package-lock.json / yarn.lock / pnpm-lock.yaml / bun.lock — JS installs aren't reproducible (SSDF PW.4.4). Commit your package manager's lockfile and install from it (`npm ci`, `yarn --immutable`, `pnpm i --frozen-lockfile` or `bun i --frozen-lockfile`). Advisory — never scored.

Minor — 28 finding(s)

IC1 · Incompleteness & stubs · Disabled test · ×8

Disabled test atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:432 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:436 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-eval/src/test/scala/com/netflix/atlas/eval/stream/EvaluatorSuite.scala:440 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-json3/src/test/scala/com/netflix/atlas/json3/JsonSuite.scala:148 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-json3/src/test/scala/com/netflix/atlas/json3/JsonSuite.scala:269 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-json3/src/test/scala/com/netflix/atlas/json3/JsonSuite.scala:286 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-json3/src/test/scala/com/netflix/atlas/json3/JsonSuite.scala:301 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.
Disabled test atlas-json3/src/test/scala/com/netflix/atlas/json3/JsonSuite.scala:337 — A test is skipped/ignored — coverage that looks present but never runs. Re-enable it or delete it so the green run means something.

X4 · Structured logging · Interpolated log message defeats structured logging · ×5

Interpolated log message defeats structured logging atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:126 — `info` at line 126 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.info("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix.
Interpolated log message defeats structured logging atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:154 — `debug` at line 154 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.debug("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix.
Interpolated log message defeats structured logging atlas-core/src/main/scala/com/netflix/atlas/core/index/RoaringTagIndex.scala:170 — `debug` at line 170 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.debug("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix.
Interpolated log message defeats structured logging atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvaluatorImpl.scala:582 — `warn` at line 582 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.warn("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix.
Interpolated log message defeats structured logging atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvaluatorImpl.scala:595 — `warn` at line 595 is handed an interpolated string as its message through SLF4J, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the level is filtered out. Pass a constant pattern and the values beside it instead: `log.warn("Order {} moved to {}", orderId, status)`, which keeps the pattern and its arguments apart on the event for a structured encoder (logstash-logback-encoder, OpenTelemetry), or `log.atInfo().addKeyValue("order_id", orderId).log("order moved")` with SLF4J 2's fluent API. scala-logging's `LazyLogging` logger takes an `s"…"` message apart into that pattern at compile time, so switching to it is also a fix.

D34 · Knowledge Freshness · Orphaned file · ×2

Orphaned file atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvalDataRateCollector.scala:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/FillRemovedKeysWith.scala:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.

AX6 · Interface segregation · Fat interface · ×1

Fat interface: CopyBuffer (17 abstract members) atlas-postgres/src/main/scala/com/netflix/atlas/postgres/CopyBuffer.scala:39 — `CopyBuffer` declares 17 abstract members: `putId`, `putString`, `putTagsJson`, `putTagsJsonb`, `putTagsHstore`, `putTagsText`, `putShort`, `putInt`, `putLong`, `putDouble`, `putDoubleArray`, `nextRow`, `hasRemaining`, `remaining`, `rows`, `clear`, `copyIn`. Counted over its ABSTRACT members — a `def` with no body or a `val`/`var` with no initializer, once per signature; concrete members, private and protected members, and members of a companion `object` are not counted, because no implementer is forced to write them. A wide interface forces every implementer and caller to depend on methods they don't use (the Interface-Segregation 'I' in SOLID). Split it into focused role-interfaces.

D26 · Project Cohesion · Projects may be oversized for their cohesion · ×1

Projects may be oversized for their cohesion — 1 of 1 project(s) overshoot their size bounds, lowering Project Cohesion to 0.0/10. The most over is `(repository root)` (52860 LoC, 1017 module-visible types across 45 directories). Review these for cohesion — draw the boundary inside the module first (group each responsibility into its own package or directory and keep the cross-boundary members non-public), since splitting a published package moves types between packages and breaks consumers.

D34 · Knowledge Freshness · Orphaned files with no living knowledge · ×1

Orphaned files with no living knowledge — 2 of 234 analysed file(s) have no living knowledge left — their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 2,400 bytes or more, excluding vendored, generated and example/demo trees and test files identified by path convention, largest first; 234 of the 421 production source files in this repository met that bar). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each — most significant first: atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/EvalDataRateCollector.scala, atlas-eval/src/main/scala/com/netflix/atlas/eval/stream/FillRemovedKeysWith.scala. Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.

D36 · Supply-chain Provenance & Signing · REDACTED · ×1

REDACTED

D36 · Supply-chain Provenance & Signing · REDACTED · ×1

REDACTED

M1 · Documentation (README) · Thin README · ×1

Thin README — The root README is 104 words, against a bar of 120. Of the three newcomer-critical sections this check looks for by heading, it found no a build/run or getting-started section, no a testing section, no an architecture or project-map section. Sections are matched on HEADING text only, so material written under a heading this check does not recognise — or with no heading at all — is not seen and this row may understate what the document covers.

M2 · Architecture documentation · No ADRs · ×1

No ADRs — No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.

P10 · Library API & versioning · Large public API surface · ×1

Large public API surface — 19/21 types (90%) declared in the published library are public. For a library, every public type is a stability contract — keep implementation types off the surface and expose only the intended API.

P3 · Security & performance tooling · No SAST · ×1

No SAST — No static application security testing detected. For this repository's stack, add scalafix or scapegoat (or `semgrep --config=auto`, which runs on any language) as a CI step. What was searched, so you can tell an absence from a miss: the 3880 CI workflow file(s) in this repository, and the scanner and linter configuration checked in beside them. A scan that runs outside CI, one configured in your forge's web UI rather than in a committed file, or a tool whose name is none of those this check carries, is not seen — if that is your case the row is wrong, and saying so is more useful than adding a second scanner.

P6 · Release Hygiene · No changelog · ×1

No changelog — No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)

S1 · Web-Security Posture · No security response headers detected · ×1

No security response headers detected — None of the 11 security response headers the OWASP Secure Headers Project recommends (Content-Security-Policy, Strict-Transport-Security, X-Content-Type-Options, X-Frame-Options, …) is set on a response this repository's Scala server sends — defense in depth, even when a proxy could set them. (−2.0 on this card.) The server: atlas-pekko/src/main/scala/com/netflix/atlas/pekko/WebServer.scala:68 — `newServerAt`.

X10 · Duplicated predicate · Duplicated predicate · ×1

Duplicated predicate atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala:1337 — `t.dataExprs.nonEmpty && !t.dataExprs.exists(_.isInstanceOf[DataExpr.All])` appears character-identically in 2 files — atlas-core/src/main/scala/com/netflix/atlas/core/model/MathVocabulary.scala, atlas-core/src/main/scala/com/netflix/atlas/core/model/StatefulVocabulary.scala. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.

X5 · Nullable reference types · Scala's null is not held to the type system everywhere · ×1

Scala's null is not held to the type system everywhere — No build over this repository's 398 Scala product file(s) passes `-Yexplicit-nulls`, enables WartRemover's `Null` wart or runs Scalafix's `DisableSyntax.noNulls`, so every reference type admits null and nothing reports a `null` written into the code or returned from a Java API — the first one to reach a method call is a `NullPointerException`. `Option` by convention is a habit no tool here holds the code to.

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-17eed52faa174f7fbade4f23bd9729f6/history.json --exit-code 0 --source .	0	artifacts/raw/gitleaks-history.json
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-git --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-17eed52faa174f7fbade4f23bd9729f6/tree.json --exit-code 0 --source .	0	artifacts/raw/gitleaks-tree.json
D29 · Static Analysis (SAST)	semgrep	—	semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --config /opt/semgrep-rules/watchdog-sast.yml --json --quiet --timeout 10 --timeout-threshold 3 --metrics off .	16	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	trivy	—	trivy fs --scanners vuln --format json --quiet --severity CRITICAL,HIGH,MEDIUM,LOW --skip-dirs /bin/ --skip-dirs /obj/ . --skip-db-update	2	artifacts/raw/trivy-fs.json
D31 · IaC & Container Security	trivy	—	trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Docker Compose, Terraform, Kubernetes/Helm, CloudFormation, ARM, Bicep, Ansible); nothing to scan.	0	—
D32 · Data Compliance (PII/GDPR)	semgrep	—	semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.	0	—
D37 · Vulnerability-disclosure Policy	disclosure	—	disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.	0	—
D40 · Network Egress Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.	0	—
D41 · Kernel & Syscall Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.	0	—
D42 · Runtime Threat Enforcement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.	0	—
D43 · Malicious Dependencies	trivy	—	trivy fs --scanners vuln --format json --quiet --severity CRITICAL,HIGH,MEDIUM,LOW --skip-dirs /bin/ --skip-dirs /obj/ . --skip-db-update	0	artifacts/raw/trivy-fs.json

Run 01a166f5-1cc5-7a8c-9b50-b8e4c4b2fdc9 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Findings by how serious they are

This survey was produced by

Executive summary

Top priorities

Diagnosis: what the measurements show together

Architecture: which parts of the code depend on which

At a glance — Code Health · 57% · Adequate · gated by X5 ·

At a glance — Architecture · 92% · Adequate · gated by D26 ·

At a glance — Maturity · 55% · Adequate · gated by M2 ·

At a glance — Readiness · 58% · Adequate ·

At a glance — Security · 75% · Adequate · gated by D29, D36 ·

At a glance — Performance · 82% · Strong ·

Security & Compliance — OWASP Top-10 mapping

Roadmap

File quality

How the grades work

Methodology & how to trust this report

Tools & methods

Run transparency — what happened this run

Limitations & what we did not check

Per-dimension blind spots

The LLM boundary

Dimensions

Frontend & cross-cutting dimensions

Reference — by lens

Appendix A — Findings (grouped)

Appendix B — Reproduction & audit trail

Downloadable artifacts