Public report — memstate, published 19 Jun 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
102findings with an exact file:lineof 128 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
60/92dimensions across the health lenses13326 LoC · 15 projects — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
DevrexLabs/memstate carries serious risk (43%). Several issues below can materially affect reliability, security, or the cost of change and warrant near-term attention.
It is strongest in Architecture (86%) — the structure is clean and changes stay contained.
The area that most needs attention is Readiness (37%) — operating, monitoring and recovering the system safely is harder. Security (42%) is the next concern — exposure to security and compliance incidents is elevated.
Leadership focus, highest impact first: Protect endpoints by default-deny (Access Controls); Make the call chain async end-to-end and await it (Async & latency hygiene); Start an ADR log (docs/adr/) recording significant decisions… (Architecture documentation).
For scale: Small (~13,326 production lines); rebuilding it from scratch would take roughly ~0.1 person-years (~1 engineer). Approximate, ±~30%.
It builds on a genuinely strong Architecture foundation (86%); the priorities above are the highest-leverage way to bring the rest up to that level.
A full-fidelity diff against the previous run's complete recorded findings — line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.
This codebase represents roughly ~0.1 person-years of build effort (about ~€17,000 to rebuild). Its weakest lens is Readiness at 37% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — service/app × a 0.7× quality factor, at €60–95/h; indicative, ±~30%. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Protect endpoints by default-deny: [Authorize] + role/policy authorization, or imperative guard methods (throw-on-violation) called from every handler.
Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Readiness at 37%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Readiness first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Protect endpoints by default-deny: [Authorize] + role/policy authorization, or imperative guard methods (throw-on-violation) called from every handler. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Protect endpoints by default-deny: [Authorize] + role/policy authorization, or imperative guard methods (throw-on-violation) called from every handler.
Architecture — module dependency graph
Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways — a layering smell or cycle. A clean layered graph has none.
At a glance — Code Health · 58% · Fair · gated by X5
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
A05:2021 — Security Misconfiguration
2
High / Critical
Roadmap
First, enforce strict access controls by implementing default-deny authorization and imperative guards across all handlers. Next, ensure the entire call chain is fully asynchronous to prevent blocking, and begin documenting significant architectural decisions in an ADR log. Additionally, replace weak hashing algorithms with SHA-256 or stronger, and use a proper key derivation function for password storage. Finally, optimize hot paths by reducing memory allocations through the use of Span<T>, ArrayPool<T>, and ValueTask.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Protect endpoints by default-deny: [Authorize] + role/policy authorization, or imperative guard methods (throw-on-violation) called from every handler.
Enforce accessibility in the toolchain: add eslint-plugin-jsx-a11y (or vuejs-accessibility), assert with jest-axe / playwright-axe in tests, then gate axe/pa11y/Lighthouse in CI.
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. 56 of 60 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 4 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.7 — 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 — 60 dimensions across the health lenses
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, 102 of 128 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
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.
D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D32 Data Compliance (PII/GDPR) — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D33 JS/npm Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D36 Supply-chain Provenance & Signing — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D37 Vulnerability-disclosure Policy — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
D38 OSV Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
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 (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (EF migration scaffolds, *.Designer.cs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only; the generated footprint is reported separately under Solution Shape.
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.
D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
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").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
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.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
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 (EF migrations, designer files, snapshots) is excluded — it is never the team's dead code to delete.
D18 Solution Shape: Build integrity reflects whether the solution compiled in this environment — a build that needs a private feed, a specific SDK, or a generated file absent from the repo can read as broken when it is merely unreproducible here.
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.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
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.
D22 Internal API Consistency: API-surface coherence is an LLM judgement over a sample of the public surface — consistency of intent across the whole API is approximated, not exhaustively verified.
D24 Comment Value: Comment value (WHY vs WHAT) is an LLM judgement over a bounded sample — it is advisory and cannot weigh a comment against the precise code change it was written to explain.
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").
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
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.
AC2 Forms & labels: Label association is read from static markup — a label wired up at runtime (JS-set aria-labelledby, framework-injected ids) reads as missing, a present label says nothing about whether its text is correct, and component-wrapped fields (e.g. a <TextField>) are skipped. A clean result is "no unlabelled native control found", not a labelling proof.
AC3 Page structure: Page structure is read from the static markup tree — landmarks, headings and lang injected at runtime aren't seen, heading ORDER is checked structurally (not against the rendered visual hierarchy), and lang/title/main fire only on full documents, never partials. Static readiness, not conformance.
AC5 ARIA correctness: ARIA correctness is checked against the static role/attribute shape — roles/attributes set dynamically aren't seen, a valid role says nothing about whether it matches the element's real behaviour, and required-state checks are suppressed when a JSX spread could supply them.
AC6 Visual & motion safety: Contrast and motion safety are PARTIAL by construction — only literal inline colours and in-repo <style>-block CSS are read; external stylesheets, CSS-in-JS, computed/runtime/theme colour, and image contrast are all out of reach, so a clean result is bounded by what the markup itself shows.
AC7 A11y enforcement: Enforcement is scored from in-repo config/CI evidence only — an a11y gate enforced in external tooling with no in-repo trace can't be credited, and a configured linter is presence, not proof the rules actually run or block a merge.
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 (6): D19, D20, D21, D22, D24, M4 (model: Qwen/Qwen3.5-35B-A3B). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These 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.
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.
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.
Resolve the 1 TinyIoCContainer.CanResolveInternal (cognitive 50) finding(s) in Cognitive Complexity — start with TinyIoC.cs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 TinyIoCContainer.ResolveInternal (cognitive 39) finding(s) in Cognitive Complexity — start with TinyIoC.cs. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 success (cognitive 31) finding(s) in Cognitive Complexity — start with application.js. — One of this dimension's main actionable groups (1 warning-level).
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 / 10Exemplary✓ 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.
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.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D5 · Coupling7.9 / 10Healthy✓ 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.
Resolve the 4 Off the main sequence finding(s) in Coupling. — One of this dimension's main actionable groups (4 warning-level).
Enforce Coupling in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d5_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
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.
130 test methods: 130 unit, 0 integration, 0 BDD, 0 e2e.
Unit tests
Integration tests
BDD tests
E2E tests
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D10 · Test Quality8.4 / 10Healthy✓ Tool-verified
What it measures: Whether the tests truly assert behaviour rather than just running the code.
Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.
Resolve the 7 No assertions finding(s) in Test Quality — start with EngineTests.cs (2), MethodMapTests.cs (2), BatcherTests.cs. — One of this dimension's main actionable groups (7 issue-level).
Enforce Test Quality in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d10_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether dependencies are current, secure, and not bloated.
Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.
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.
What it measures: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
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.
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
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.
What it measures: Whether the solution is laid out in a sensible, conventional structure.
Method: Solution structure: project count, decomposition, shell-project detection, build success (confirmed failures cap the score); traced to actual .sln files and binaries. Deterministic.
15 projects, 274 .cs files, 17020 hand-written lines of code (13326 production / 3694 test), 27 inter-project edges (build status unknown — did not finish).
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.
The project features a strong, well-structured README that effectively explains the product's value proposition. However, the internal documentation is severely incomplete, with most sub-pages containing only placeholder text ('coming (tbd)'). Furthermore, the XML documentation coverage across the codebase is critically low, with several key libraries at 0% coverage. The architecture documentation is also incomplete, with a section header referencing a file that does not exist.
Resolve the 10 Low XML-doc coverage finding(s) in Documentation Quality — start with Memstate.AppMetrics.csproj, Memstate.Benchmarks.csproj, Memstate.Core.csproj. — One of this dimension's main actionable groups (10 warning-level).
Resolve the 5 The document contains only placeholder text finding(s) in Documentation Quality — start with readme.md (5). — One of this dimension's main actionable groups (5 recommendation-level).
Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether architecture decisions are recorded well (context, decision, consequences).
Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. 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.
0 naming inconsistencies across 200 sampled symbols.
✓ On the Gold path — maintain.
Detailed fixes: d21_recommendation.md.
Do you agree with this assessment?
D22 · Internal API Consistency / 10Exemplary◐ Sampled · advisory
What it measures: Whether the internal API surface is consistent and coherent.
Method: Judged by language model at low temperature over a sample of the public API surface (IsPackable or .Contracts types). Sampled, advisory; confidence discounted by model uncertainty.
No public API surface exposed; nothing to be inconsistent.
No exposed public API
✓ On the Gold path — maintain.
Detailed fixes: d22_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D24 · Comment Value / 10Poor◐ Sampled · advisory
What it measures: Whether comments are worth it — explaining WHY (valuable) rather than WHAT (redundant).
Method: Judged by language model at low temperature (0.0-0.1) on deterministically sampled inline comments with surrounding code; findings verified back to sampled comments by substring match. Advisory, sampled.
Resolve the 3 redundant comment finding(s) in Comment Value — start with Batcher.cs, IniFile.cs, MemstateServer.cs. — One of this dimension's main actionable groups (3 recommendation-level).
Resolve the 1 misleading comment finding(s) in Comment Value — start with OperationInfo.cs. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d24_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep --config auto across the repo; severity rules (ERROR/WARNING/INFO) map to a 0-10 wide normalizer. 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).
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.
2 of 2 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Memstate.Core/Engine.cs.
Resolve the 2 Orphaned knowledge finding(s) in Knowledge Freshness — start with Engine.cs, RedisServerCommand.cs. — One of this dimension's main actionable groups (2 warning-level).
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
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; coupling through a build step, config, or non-source file isn't seen.
Detailed fixes: d35_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
Frontend & cross-cutting dimensions
R = React/JS · M = Maturity · P = Readiness.
AC2 · Forms & labels4.8 / 10Poor✓ Tool-verified
Other · Accessibility — Whether form controls have a programmatic label (an associated label, aria-label or aria-labelledby), buttons have text, fieldsets have a legend, and a placeholder isn't used as the only label. Static markup readiness, not a WCAG conformance claim.
Method: Static markup-model scan: inputs/selects/textareas checked for an associated label[for]/wrapping label/aria-label/aria-labelledby (per document), buttons for accessible text, fieldsets for a legend; placeholder-only labelling flagged. Deterministic, hard fact per control.
This control has no associated label. Add a <label for> / wrapping <label> / aria-label / aria-labelledby so assistive tech can name it. — Index.cshtml:18
What to do
Give every control a programmatic label (a <label for> / wrapping <label> / aria-label) and every button text — a placeholder is not a label.
Do you agree with this assessment?
AC3 · Page structure5.2 / 10Fair✓ Tool-verified
Other · Accessibility — Whether pages declare a language and title, expose a main landmark and a sane heading order, keep zoom enabled, title their iframes and avoid meta-refresh. Static markup readiness, not a WCAG conformance claim.
Method: Static markup-model scan: html lang, document <title>, a main landmark and heading order on full documents only, plus zoom-disabling viewports, untitled iframes and meta-refresh anywhere. Deterministic, per structural checkpoint.
No <main> (or role="main") means no "skip to content" target and a weaker landmark map. Wrap the primary content in <main>. (×2) — MemstateBenchmarks-report.html:2, index.html:2
Skipping heading levels breaks the document outline assistive tech relies on. Don't jump levels — increase by at most one. — Board.cshtml:9
What to do
Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.
Other · Accessibility — Whether ARIA is used correctly — valid non-abstract roles, the ARIA state a role requires, and no aria-hidden on a focusable element. Static markup readiness, not a WCAG conformance claim.
Method: Static markup-model scan: role values checked against the WAI-ARIA role set (abstract/invalid flagged), required ARIA state for a role, and aria-hidden on a focusable element. Deterministic, role/attribute level.
Other · Accessibility — Whether focus outlines aren't removed without a replacement, motion respects prefers-reduced-motion, and literal CSS colour pairs meet contrast — PARTIAL: only inline styles and in-repo CSS literals are visible, never computed or runtime colour. Static markup readiness, not a WCAG conformance claim.
Method: Static markup/CSS scan: inline outline:none/0, literal inline colour/background contrast against the 4.5:1 AA floor, and <style>-block animation without a prefers-reduced-motion guard. Deterministic but PARTIAL — only inline styles and in-repo CSS literals are visible.
Do you agree with this assessment?
AC7 · A11y enforcement4.0 / 10Poor✓ Tool-verified
Other · Accessibility — Whether accessibility is ENFORCED in the toolchain — an a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) configured, and axe/pa11y/Lighthouse wired into tests or CI — on the Documented→Verified→Prevented ladder.
Method: Repo config/CI scan: an a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) configured, and axe/pa11y/Lighthouse in tests or CI, graded on the Documented→Verified→Prevented rungs. Deterministic, presence/rung detection.
No accessibility enforcement found — no a11y linter (eslint-plugin-jsx-a11y / vuejs-accessibility) and no axe/pa11y/Lighthouse in tests or CI. Start with the linter to catch issues at author time.
What to do
Enforce accessibility in the toolchain: add eslint-plugin-jsx-a11y (or vuejs-accessibility), assert with jest-axe / playwright-axe in tests, then gate axe/pa11y/Lighthouse in CI.
Other · Architecture — Whether any singleton service captures a scoped/transient dependency — a silent lifetime/threading bug.
Method: Roslyn scan: DI registrations parsed from AddSingleton/Scoped/Transient; each singleton checked for captured shorter-lifetime dependencies. Exhaustive, deterministic.
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.
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 — check that business logic isn't leaking into the application/infrastructure layers (a thin domain is the anemic-domain smell).
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.
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.
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.
Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.
Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.
`IRedisModel` declares 93 members. 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. — IRedisModel.cs:7
What to do
Split fat interfaces into focused role-interfaces so clients depend only on what they use.
Other · Security — Whether access is authorized by default — [Authorize]/policies or imperative guard methods (throw-on-violation) called from handlers.
Method: Roslyn scan: [Authorize] usage and authorization policies, plus imperative throw-on-violation guard methods detected via syntax. Deterministic.
No [Authorize]/policies and no imperative guard methods (throw-on-violation) were found — endpoints may be unprotected.
What to do
Protect endpoints by default-deny: [Authorize] + role/policy authorization, or imperative guard methods (throw-on-violation) called from every handler.
Other · Code Health — Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in 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.
A shipped member still throws NotImplementedException — generated scaffolding that was never completed. Implement it or remove the dead surface. — Config.cs:194
What to do
Finish or delete NotImplementedException stubs and replace placeholder literals before shipping.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
`PendingLocalCommands` takes parameters but its body is empty — it accepts inputs and does nothing. Either implement it or remove it. — NullEngineMetrics.cs:17
`Total` looks like it should compute a result but its body just returns a constant — a placeholder return that was never filled in. — Benchmark.cs:68
`Totals` looks like it should compute a result but its body just returns a constant — a placeholder return that was never filled in. — Benchmark.cs:73
A line of code has been commented out rather than removed — dead weight that rots and confuses. Delete it (version control remembers). (×10) — MemstateBenchmarks.cs:45, TinyIoC.cs:2845, TinyIoC.cs:3841, …
`QueryExecuted` has an empty body — confirm it's an intentional no-op and not an unfinished method. — NullEngineMetrics.cs:9
`QueryFailed` has an empty body — confirm it's an intentional no-op and not an unfinished method. — NullEngineMetrics.cs:11
`CommandExecuted` has an empty body — confirm it's an intentional no-op and not an unfinished method. — NullEngineMetrics.cs:13
`CommandFailed` has an empty body — confirm it's an intentional no-op and not an unfinished method. — NullEngineMetrics.cs:15
`ExecuteMapped`'s body only throws NotSupportedException — sometimes a deliberate contract, often an unfinished stub. Confirm it's intentional. — NotAllowedOperation.cs:14
`ExecuteProxy`'s body only throws NotSupportedException — sometimes a deliberate contract, often an unfinished stub. Confirm it's intentional. — NotAllowedOperation.cs:19
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) — ExpirationTests.cs:15, ExpirationTests.cs:31, ExpirationTests.cs:75, …
What to do
Finish or delete the unfinished stubs (NotImplementedException / empty / constant-returning bodies) — they are dead surface that looks live.
Clear the softer debt: remove commented-out code and dead branches, re-enable or delete skipped tests, and replace blanket warning suppressions with targeted ones.
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.
What to do
Add a 'Testing' section to the root README — how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Add a README to the 14 of 15 project(s) that lack one — worth up to 1.9 pts.
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 gates0.0 / 10Critical✓ 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.
No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, …) — changes aren't gated by an automated build/test.
What to do
Add a CI workflow that builds and runs the test suite on every push/PR.
Do you agree with this assessment?
P10 · Library API & versioning10.0 / 10Exemplary○ Nothing flagged
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. Exhaustive, deterministic.
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P2 · Observability5.5 / 10Fair✓ Tool-verified
Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem/Roslyn scan: CodeQL, Dependabot, secret-scanning, and BenchmarkDotNet presence in pipelines and projects. Exhaustive, deterministic.
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.
Deployment automation exists but no readiness/liveness probes, rolling-update strategy, lifecycle hooks or migration job were evidenced — a bad release is harder to detect and reverse.
What to do
Add readiness/liveness probes and a rolling-update (or blue/green) strategy so a bad release is caught and rolled back automatically.
Add an approval/environment gate (required reviewers / protection rules) before production promotion.
Do you agree with this assessment?
P6 · Release Hygiene5.0 / 10Fair✓ 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.
Readiness · Performance — Whether the library protects its performance with benchmarks — a BenchmarkDotNet suite, an allocation MemoryDiagnoser, 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 — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.
A BenchmarkDotNet suite exists but no [MemoryDiagnoser] — allocations (the main way a library pressures its host's GC) aren't being measured.
What to do
Add [MemoryDiagnoser] to the benchmarks so allocation regressions are visible, not just time.
Readiness · Performance — Whether the code is written to minimise allocations so it doesn't pressure its host's GC — Span/Memory, pooling (ArrayPool/ObjectPool), stackalloc, ValueTask, value-type structs and buffer writers. Reward-only: credited where present, never penalised where a simpler style is fine.
No Span/Memory, pooling (ArrayPool/ObjectPool), stackalloc, ValueTask or buffer-writer usage was found. If this library sits on a hot path, these reduce the GC pressure it puts on its host — a bonus, not a requirement.
What to do
On hot paths, prefer Span<T>/ReadOnlySpan<T>, ArrayPool<T>, stackalloc and ValueTask to cut allocations a consumer would otherwise inherit.
Readiness · Performance — Whether asynchronous code keeps its host responsive — a library awaits with ConfigureAwait(false) (so it never captures and stalls the host's context) and avoids sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) that wastes threads and risks deadlock.
Method: Production-source scan: sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) counted everywhere, and — for a library with ≥5 awaits — the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.
4 blocking call(s) on async work (.Wait()/.GetAwaiter().GetResult()) — these waste a thread and can deadlock in a consumer with a synchronization context.
Only 10/75 awaits use ConfigureAwait(false). A library that captures the caller's context can stall or deadlock its host — the classic way a dependency drags an app down.
What to do
Make the call chain async end-to-end and await it — never block on a Task with .Wait()/.GetAwaiter().GetResult() in library code.
In library code, append .ConfigureAwait(false) to every await (or set <ConfigureAwait>false</ConfigureAwait> / use the analyzer CA2007) so the library never captures the host's context.
Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).
MD5/SHA1 is broken for security purposes (collision-vulnerable). Use SHA-256+ for content integrity; for password storage, use a KDF (PBKDF2/Argon2/BCrypt). — Md5VsSha256.cs:22
No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)
No CookieSecurePolicy/HttpOnly/SameSite configuration found. (−1.5 on this card; skip if the app sets no cookies.)
What to do
Replace MD5/SHA1 with SHA-256+ for content hashing; switch to a KDF (PBKDF2/Argon2/BCrypt) for password storage.
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Set secure cookie flags — CookieSecurePolicy.Always, HttpOnly, and SameSite (Strict/Lax) on auth/session cookies. Skip only if the app sets no cookies.
Do you agree with this assessment?
X1 · Async correctness6.5 / 10Fair✓ Tool-verified
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.
Blocking on a Task with `.Wait()`/`.GetAwaiter().GetResult()` can deadlock (and wastes a thread). Make the caller `async` and `await` instead. (×2) — Startup.cs:32, Startup.cs:41
Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage.
Only 4/43 async methods accept a CancellationToken, so requests can't be cancelled cleanly under load or on client disconnect. In Blazor Server circuits and other short-write hosts, omitting it can be an accepted convention — judge against your hosting model.
No CancellationToken parameter — work can't be cancelled cleanly on disconnect/shutdown. (×25) — Host.cs:31, MetricsController.cs:8, Md5VsSha256.cs:36, …
What to do
Thread a CancellationToken through async methods so work stops promptly on cancellation.
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.
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. Deterministic.
Other · Code Health — Whether nullable reference types are enabled and not undermined by heavy `!` suppression.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
0/5 projects enable <Nullable>enable</Nullable>. NRTs catch a whole class of null-deref bugs at compile time.
What to do
Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.
Do you agree with this assessment?
WCAG coverage — what static analysis assessed
Statically assessed 10 of 55 WCAG 2.2 Level A/AA success criteria — partial signal only (a clean result is necessary, not sufficient; static analysis fully verifies none). This is accessibility readiness, not a conformance claim — a WCAG conformance claim requires manual evaluation (WCAG-EM 1.0).
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.
Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 32 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 image/media element found in the parsed markup — AC1 not applicable here.
AC4 Keyboard semantics — No interactive element found in the parsed markup — AC4 not applicable here.
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — no test/production split to check
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
C1 Data Protection — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C3 Audit Trail — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C4 Data Retention — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
C5 Data-Subject Rights — No personal data detected in the analyzed source — no PII-typed entity/column names (Email, FirstName, DateOfBirth, …), no ASP.NET Identity / user-account model, and no stored user credentials. GDPR data-protection controls are therefore N/A here. If this is intentional, record the no-PII posture in an ADR; if the app does process personal data, name those fields conventionally so this dimension activates.
D11 Test Reliability — Test reliability not included
D23 Boundary Type-Coupling — Bounded contexts not declared
D25 ADR Conformance — no ADRs to check
D27 Navigability — Navigability unmeasured — symbol resolution incomplete
D30 Dependency Vulnerabilities — Not applicable
D32 Data Compliance (PII/GDPR) — Not applicable
D33 JS/npm Dependency Vulnerabilities — Not applicable
D36 Supply-chain Provenance & Signing — Not applicable
D37 Vulnerability-disclosure Policy — Not applicable
D38 OSV Dependency Vulnerabilities — Not applicable
D7 Architectural Integrity — No checkable ADRs to assess
D8 Code Coverage — Coverage not measured
DM1 Domain Modelling — not run — 0/3 markers found
ED1 Event-Driven — not run — 0/3 markers found
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not run — only 1/3 markers (an event-store package (Marten/EventStore))
P12 CI test-gate honesty — no CI workflow found
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — no outbound HTTP usage detected
P8 Schema migrations — no EF Core usage detected
P9 Domain vs controller coverage — no coverage report found on disk — run tests with `--collect:"XPlat Code Coverage"` (or in CI) to enable this cross-layer check
X6 Hand-rolled structured-format parsing — no data
X7 Silent fallback defaults — no data
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.
No assertions: Batcher_terminates_when_disposed src/Memstate.Test/BatcherTests.cs:10— Test method has no assertions — it may not test anything.
No assertions: Subscription_is_disposed_when_engine_is_disposed src/Memstate.Test/EngineTests.cs:42— Test method has no assertions — it may not test anything.
No assertions: Writer_is_disposed_when_engine_is_disposed src/Memstate.Test/EngineTests.cs:51— Test method has no assertions — it may not test anything.
No assertions: Implicit_internal_command_is_mapped src/Memstate.Test/Proxy/MethodMapTests.cs:115— Test method has no assertions — it may not test anything.
No assertions: Implicit_internal_query_is_mapped src/Memstate.Test/Proxy/MethodMapTests.cs:122— Test method has no assertions — it may not test anything.
No assertions: Can_execute_void_commands src/System.Test/SystemTests.cs:122— Test method has no assertions — it may not test anything.
No assertions: Most_compact_start_using_all_default_configurations src/Memstate.Docs.GettingStarted/Configuration/MinimalConfigurationTests.cs:19— Test method has no assertions — it may not test anything.
Boundary-crossing change coupling: EventStoreWriter.cs ↔ Engine.cs MemState.EventStore/EventStoreWriter.cs— `MemState.EventStore/EventStoreWriter.cs` (context MemState.EventStore) and `Memstate.Core/Engine.cs` (context Memstate) live in DIFFERENT modules yet change together 80% of the time (12 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: EventStoreWriter.cs ↔ Batcher.cs MemState.EventStore/EventStoreWriter.cs— `MemState.EventStore/EventStoreWriter.cs` (context MemState.EventStore) and `Memstate.Core/Batcher.cs` (context Memstate) live in DIFFERENT modules yet change together 76% of the time (13 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: EventStoreSubscriptionSource.cs ↔ InMemoryCommandStore.cs MemState.EventStore/EventStoreSubscriptionSource.cs— `MemState.EventStore/EventStoreSubscriptionSource.cs` (context MemState.EventStore) and `Memstate.Core/InMemoryCommandStore.cs` (context Memstate) live in DIFFERENT modules yet change together 64% of the time (9 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: EventStoreWriter.cs ↔ InMemoryCommandStore.cs MemState.EventStore/EventStoreWriter.cs— `MemState.EventStore/EventStoreWriter.cs` (context MemState.EventStore) and `Memstate.Core/InMemoryCommandStore.cs` (context Memstate) live in DIFFERENT modules yet change together 64% of the time (9 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: DemoCommand.cs ↔ PostgresProvider.cs src/Memstate.Host/Commands/DemoCommand.cs— `src/Memstate.Host/Commands/DemoCommand.cs` (context Memstate) and `src/Memstate.Postgresql/PostgresProvider.cs` (context Memstate.Postgresql) live in DIFFERENT modules yet change together 60% of the time (6 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: Benchmark.cs ↔ PostgresProvider.cs src/Memstate.Host/Commands/Benchmark.cs— `src/Memstate.Host/Commands/Benchmark.cs` (context Memstate) and `src/Memstate.Postgresql/PostgresProvider.cs` (context Memstate.Postgresql) live in DIFFERENT modules yet change together 55% of the time (6 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
Boundary-crossing change coupling: Host.cs ↔ PostgresProvider.cs src/Memstate.Host/Host.cs— `src/Memstate.Host/Host.cs` (context Memstate) and `src/Memstate.Postgresql/PostgresProvider.cs` (context Memstate.Postgresql) live in DIFFERENT modules yet change together 50% of the time (5 shared commits) — the bounded-context boundary may be in the wrong place, or one context is leaking into the other. This is the behavioural boundary violation a static scan can't see.
TodoComment src/Memstate.Test/ClientTests.cs:38— //TODO: Need a shutdown/dispose on the client. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Configuration/TinyIoC.cs:3494— // TODO - find a better way to remove "system" assemblies from the auto registration — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Configuration/TinyIoC.cs:3518— // TODO - find a better way to remove "system" types from the auto registration — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Models/Redis/RedisModel.cs:225— // TODO: OrigoDB used CommandAbortedException — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Models/Redis/RedisModel.cs:249— // TODO: OrigoDB used CommandAbortedException — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Models/Redis/RedisModel.cs:255— // TODO: OrigoDB used CommandAbortedException — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Models/Redis/RedisModel.cs:261— // TODO: OrigoDB used CommandAbortedException — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Models/Redis/RedisModel.cs:480— // TODO: OrigoDB relied on getting time from the current execution context. This doesn't exist in Memstate — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Proxying/OperationInfo.cs:81— // TODO: Log the exception. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment src/Memstate.Core/Tcp/MemstateServer.cs:103— // TODO: Consider using MessageProcessor. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
Low cohesion: TinyIoCContainer (LCOM4 26) src/Memstate.Core/Configuration/TinyIoC.cs:1075— TinyIoCContainer's methods form 26 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Low cohesion: LogProviderBase (LCOM4 6) src/Memstate.Core/LibLog/5.0.8/LogProviders/LogProviderBase.cs:22— LogProviderBase's methods form 6 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Low cohesion: ObjectFactoryBase (LCOM4 4) src/Memstate.Core/Configuration/TinyIoC.cs:2754— ObjectFactoryBase's methods form 4 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Low cohesion: Log4NetLogProvider (LCOM4 4) src/Memstate.Core/LibLog/5.0.8/LogProviders/Log4NetLogProvider.cs:16— Log4NetLogProvider's methods form 4 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Low cohesion: NLogLogProvider (LCOM4 4) src/Memstate.Core/LibLog/5.0.8/LogProviders/NLogLogProvider.cs:14— NLogLogProvider's methods form 4 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Low cohesion: SerilogLogProvider (LCOM4 4) src/Memstate.Core/LibLog/5.0.8/LogProviders/SerilogLogProvider.cs:12— SerilogLogProvider's methods form 4 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Off the main sequence: Memstate.JsonNet — Memstate.JsonNet: abstractness 0.00, instability 0.13, distance 0.88 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Off the main sequence: Memstate.Wire — Memstate.Wire: abstractness 0.00, instability 0.17, distance 0.83 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Off the main sequence: Memstate.Core — Memstate.Core: abstractness 0.22, instability 0.00, distance 0.78 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Off the main sequence: Memstate.MsConfig — Memstate.MsConfig: abstractness 0.00, instability 0.25, distance 0.75 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Orphaned knowledge src/Memstate.Core/Engine.cs— No living knowledge remains for this file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Orphaned knowledge src/Memstate.Runner/Commands/RedisServerCommand.cs— No living knowledge remains for this file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Change coupling: Benchmark.cs ↔ DemoCommand.cs src/Memstate.Host/Commands/Benchmark.cs— `src/Memstate.Host/Commands/Benchmark.cs` and `src/Memstate.Host/Commands/DemoCommand.cs` change together 80% of the time (8 shared commits) with no explicit dependency — a hidden/logical coupling. If they belong together, co-locate them; if not, break the coupling.
Change coupling: Batcher.cs ↔ Engine.cs Memstate.Core/Batcher.cs— `Memstate.Core/Batcher.cs` and `Memstate.Core/Engine.cs` change together 73% of the time (11 shared commits) with no explicit dependency — a hidden/logical coupling. If they belong together, co-locate them; if not, break the coupling.
Coverage not measured — The test suite couldn't be built/run in-image and no coverage report is committed, so line coverage was not measured — and it is EXCLUDED from the score rather than scored on a LoC-ratio proxy. Commit the Cobertura/OpenCover/lcov report your CI already produces (anywhere in the repo), or make the suite runnable in-image, and real coverage will be measured.
Recommendation — 24 finding(s)
D19 · Documentation Quality· The document contains only placeholder text · ×5
The document contains only placeholder text: 'configuration documentation coming. (tbd)'. src/Memstate.Docs.GettingStarted/Configuration/readme.md— Replace the placeholder with actual documentation on how to configure the Memstate engine, including connection strings, memory limits, and serialization settings.
The document contains only placeholder text: 'modelling documentation coming. (tbd)'. src/Memstate.Docs.GettingStarted/Modelling/readme.md— Provide a guide on how to define domain models, entities, and relationships within Memstate.
The document contains only placeholder text: 'built in models documentation coming (tbd)'. src/Memstate.Docs.GettingStarted/BuiltInModels/readme.md— List and describe the built-in model types supported by the framework.
The document contains only placeholder text: 'security documentation coming. (tbd)'. src/Memstate.Docs.GettingStarted/Security/readme.md— Explain how to configure security, authentication, and authorization within Memstate.
The document contains only placeholder text: 'client api documentation coming. (tbd)'. src/Memstate.Docs.GettingStarted/ClientAPI/readme.md— Document the Client API, including how to connect to the server and execute commands/queries.
redundant comment src/Memstate.Core/Batcher.cs:50— "Wait for an item to arrive" — Remove. The code likely contains a loop or await that makes this obvious.
redundant comment src/Memstate.Core/Configuration/IniFile.cs:24— "Skip comments and empty lines" — Remove. The code likely contains a condition checking for whitespace or comments.
redundant comment src/Memstate.Core/Tcp/MemstateServer.cs:103— "TODO: Consider using MessageProcessor." — Move to a code comment or issue tracker.
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — Test reliability not included — no test tier completed within its budget.
Shell project: Memstate.All src/Memstate.All/Memstate.All.csproj— `Memstate.All` contributes only 0 significant line(s) — an empty/placeholder project is structural noise. Remove it or fold its contents into a real project.
No ADRs found — No ADRs found at common paths; consider documenting architectural decisions in Docs/ADL/ or similar.
D23 · Boundary Type-Coupling· Bounded contexts not declared · ×1
Bounded contexts not declared — The codebase is large and multi-project, indicating distinct modules that require explicit boundary declarations to assess cross-boundary coupling. Declare architecture.contexts (≥2) in config to assess cross-boundary type coupling.
misleading comment src/Memstate.Core/Proxying/OperationInfo.cs:81— "TODO: Log the exception." — This is a task, not a comment. If the code doesn't log, the comment is misleading about the current state.
Split Memstate.Core — With 11,778 LoC and 94 public types spanning 11 namespaces, the project likely covers multiple distinct responsibilities rather than a single focused area. Suggested: by namespace: split the 11 namespaces into 3-4 logical modules based on domain boundaries.
Navigability unmeasured — symbol resolution incomplete — 88 % of sampled invocations could not be resolved to a symbol (the workspace likely loaded without all references) — the indirection fractions would be computed over an unrepresentative slice, so navigability is reported as not measured rather than a misleading score.
D30 · Dependency Vulnerabilities· Not applicable · ×1
Not applicable — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
Low IaC: DS-0026 Dockerfile— No HEALTHCHECK defined
D32 · Data Compliance (PII/GDPR)· Not applicable · ×1
Not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
D33 · JS/npm Dependency Vulnerabilities· Not applicable · ×1
Not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D36 · Supply-chain Provenance & Signing· Not applicable · ×1
Not applicable — No CI/build pipeline found (.github/workflows, .gitlab-ci.yml, azure-pipelines.yml, Jenkinsfile, .circleci); there is no build to attest provenance for.
D37 · Vulnerability-disclosure Policy· Not applicable · ×1
Not applicable — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D38 · OSV Dependency Vulnerabilities· Not applicable · ×1
Not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
D7 · Architectural Integrity· No checkable ADRs to assess · ×1
No checkable ADRs to assess — No architecture decision records were found and the project graph is acyclic, so architectural integrity could not be assessed. Add ADRs (with `enforcement: analyzer|test`) to make the architecture's rules checkable.
Skipped (documented): Expires src/Memstate.Test/Models/Redis/ExpirationTests.cs:14— Skipped with a documented reason — a deferral, not lazy debt: Expiration not yet implemented
Skipped (documented): ExpiresMultiple src/Memstate.Test/Models/Redis/ExpirationTests.cs:31— Skipped with a documented reason — a deferral, not lazy debt: Expiration not implemented
Skipped (documented): PurgeTimer src/Memstate.Test/Models/Redis/ExpirationTests.cs:74— Skipped with a documented reason — a deferral, not lazy debt: Expiration not implemented
Skipped (documented): When_stream_is_blocked_cancelling_throws_a_TaskCancelledException src/Memstate.Test/PacketTests.cs:63— Skipped with a documented reason — a deferral, not lazy debt: Doesn't terminate
Skipped (documented): ThrowsExceptionOnYieldQuery src/Memstate.Test/Proxy/ProxyTest.cs:49— Skipped with a documented reason — a deferral, not lazy debt: Isolation is yet to be implemented
Skipped (documented): QueryResultsAreCloned src/Memstate.Test/Proxy/ProxyTest.cs:63— Skipped with a documented reason — a deferral, not lazy debt: Isolation is yet to be implemented
Skipped (documented): ResultIsIsolated_attribute_is_recognized src/Memstate.Test/Proxy/ProxyTest.cs:82— Skipped with a documented reason — a deferral, not lazy debt: Isolation is yet to be designed
Skipped (documented): Query_result_is_cloned src/Memstate.Test/Proxy/ProxyTest.cs:92— Skipped with a documented reason — a deferral, not lazy debt: Isolation is yet to be designed and implemented
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.
dotnet: not applicable — the solution did not restore on the analyzer's .NET SDK (an SDK/target-framework/restore mismatch, common for an older codebase), so there was no restored dependency graph to scan for NuGet CVEs — excluded rather than scored; re-run on an SDK that can restore this solution
trivy: not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
provenance: not applicable — No CI/build pipeline found (.github/workflows, .gitlab-ci.yml, azure-pipelines.yml, Jenkinsfile, .circleci); there is no build to attest provenance for.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
osv-scanner: not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
0
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Run 019ee1d7-d1b0-7fb5-b6b7-83f9dcf4c931 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 15 · Warnings: 53 · Recommendations: 24 · Info: 36 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 19-06-2026 @ 21:44 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.