Public report — Akkatecture, published 3 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
Small · 12,796 LoC · 16 projects · rebuild ~0.1 person-years · weakest lens: Performance (54%)
Build did not compile — scores are provisional
The analysed solution did not compile (2 build error(s)). Dimensions that depend on the compiler — complexity, duplication, cohesion, dead code, API surface — ran on incomplete models, so the scores below are provisional. Fix the build, then re-run for a reliable grade. First errors: CS0023: Operator '.' cannot be applied to operand of type 'void'
Grounded in facts. Every number here is computed, not narrated — reproducible, tool-backed, and traceable to a line of code. How to trust this ▸
37findings with an exact file:lineof 81 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
61/108dimensions across the health lenses12796 LoC · 16 projects — wide & deep
Executive summary
Read through the Template lens: this is a template / kata / sample / demo — code meant to be read or copied, not operated. The ship-it and operate-it dimensions (CI/CD, observability, ADRs, architecture docs, deployment security) are N/A, and the colour bands on what remains are relaxed to what an example needs. Code correctness stays near-strict; the score is absolute and comparable across repos.
AfterLutz/Akkatecture is sound in substance but carries real gaps (56%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.
It is strongest in Architecture (97%) — the structure is clean and changes stay contained. Event-Driven (83%) is solid too.
Most urgent: a critical security exposure was detected (see the Security & Compliance lens). Treat it as a priority regardless of the overall grade.
The area that most needs attention is Performance (54%) — it raises ongoing delivery and operational cost. Code Health (54%) is the next concern — changes there are slower and more error-prone.
Leadership focus, highest impact first: Make the call chain async end-to-end and await it (Async & latency hygiene); benchmarking harness for the hot paths and run it in CI… (Benchmark discipline); On hot paths, prefer Span<T>/ReadOnlySpan<T>, ArrayPool<T>,… (Allocation hygiene).
For scale: Small (~12,796 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 (97%); the priorities above are the highest-leverage way to bring the rest up to that level.
How the score is built — each lens's share of the headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
No single dominant problem — the weakest areas are close, so progress on any of them moves the score.
Code composition — where the lines go
Business logic 9%Plumbing 55%Tests 36%
New since the last scan (3+)
3 finding(s) are new versus the previous scan (2026-07-29) — surfaced by this scheduled scan itself, no pull request required.
D22 · Inconsistent naming for event emission. One method is named 'Emit' (singular) and the other 'EmitAll' (plural). While distinct in arity, the naming convention for the singular case ('Emit') vs the plural case ('EmitAll') is slightly inconsistent with common patterns like 'Emit' and 'EmitBatch' or 'EmitRange'. However, the primary inconsistency is that 'Emit' takes a generic type parameter and a specific event, while 'EmitAll' takes an array of the interface. A more consistent API might use 'Emit' for single and 'EmitMany' or 'EmitBatch' for multiple, or ensure the naming convention is parallel.
D22 · Inconsistent parameter types for result creation. 'SucceedWith' accepts either an ICommand or a string (commandId). 'FailWith' accepts either an ICommand or a string (commandId). This creates two different ways to create success/failure states, which can be confusing. It is unclear if passing the command object is preferred over the ID.
D22 · Both 'AggregateEventUpcaster' and 'DomainEventReadAdapter' have a 'FromJournal' method that takes an object and a string manifest. This suggests a shared responsibility for deserializing/describing journal events, but the return types (IEventSequence vs IEventSequence) and the context (upcasting vs reading) are slightly different. The naming 'FromJournal' is used in both, but one is for upcasting and one is for reading, which might be confusing.
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 ~€22,000 to rebuild). Its weakest lens is Performance at 54% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain High (×1.5) — library/CLI, CQRS, domain model, event-driven integration × a 0.8× 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
Resolve the 3 NoWarnInCsproj finding(s) in Explicit Debt — start with Akkatecture.Tests.MultiNode.csproj, Akkatecture.Clustering.csproj, Directory.Build.props.
Highest-leverage move: fix the build · Critical · Leverage
The solution doesn't compile, so every Roslyn-derived dimension (complexity, duplication, cohesion, dead code, API surface) ran on incomplete models and is PROVISIONAL. Fixing the build is the single change that makes the rest of the report trustworthy — do it first. The compiler reported: CS0023: Operator '.' cannot be applied to operand of type 'void'.
Evidence: D18 build: The compiler reported: CS0023: Operator '.' cannot be applied to operand of type 'void'.
→ Fix the build, then re-run for a reliable grade.
Value concentrated against a weak lens · Medium · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Performance at 54%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Performance first — highest risk-reduction per euro on an asset this size.
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.
Architecture — module dependency matrix
33 modules, 51 dependencies — 2 dependency cycles, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
At a glance — Code Health · 54% · Adequate · gated by D18, 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
A03:2021 — Injection
5
High / Critical
A06:2021 — Vulnerable & Outdated Components
5
High / Critical
Roadmap
First, eliminate synchronous blocking calls in library code by ensuring the entire call chain is fully asynchronous. Next, establish a benchmarking harness in CI to monitor hot paths and prevent performance regressions. Then, reduce memory allocations on hot paths by adopting Span, ArrayPool, and ValueTask. Finally, ensure all async methods properly propagate cancellation tokens to guarantee timely shutdown.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 3 NoWarnInCsproj finding(s) in Explicit Debt — start with Akkatecture.Tests.MultiNode.csproj, Akkatecture.Clustering.csproj, Directory.Build.props.
Add a benchmarking harness for the hot paths and run it in CI to catch regressions (for .NET, a BenchmarkDotNet project with [MemoryDiagnoser] to track allocations).
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. 57 of 61 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 0.6 — 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 — 61 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, 37 of 81 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.
D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
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 (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.
D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
D11 Test Reliability: Flakiness is inferred from history/markers — Watchdog runs the suite once (for coverage), not the repeated runs under varied conditions that reveal nondeterminism, so a flaky test never recorded as failing is invisible here.
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").
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.
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.
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.
D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
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 the advisory database — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen.
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.
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.
DM4 Rich vs anemic model: Behaviour is detected as state mutation inside a method body — a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
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 (4): D21, D22, D24, M4 (model: Local LLM). 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.
0 method(s) exceeded the cognitive complexity threshold of 15.
✓ On the Gold path — maintain.
Detailed fixes: d2_recommendation.md.
Do you agree with this assessment?
D3 · God Classes9.7 / 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.
+ 2 more group(s) — more in Appendix A; the complete list is findings.md.
✓ On the Gold path — maintain.
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.
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.
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.
137 test methods: 137 unit, 0 integration, 0 BDD, 0 e2e.
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md.
Do you agree with this assessment?
D10 · Test Quality9.6 / 10Exemplary✓ 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.
0 skipped, 3 zero-assertion, no mocking-framework packages referenced (hand-written doubles or no mocking) across 138 tests.
No assertions (empty test): TestDistinctCommand_AfterTwoHandles_CommandFailstest/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:358
No assertions: InitialState_TestingSuccessCommand_SuccessResultReplied · ×2test/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:335
✓ On the Gold path — maintain.
Detailed fixes: d10_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D11 · Test Reliability10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the tests pass reliably, with no flakiness.
Method: Suite re-run N times within tiered wall-clock budgets (unit to e2e); tests failing non-deterministically across runs flagged; guarded tests retried when #if guards detected.
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.
Resolve the 2 Deprecated finding(s) in Dependency Hygiene. — One of this dimension's main actionable groups (2 warning-level).
Enforce Dependency Hygiene in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d12_recommendation.md · top locations in Appendix A, every location in findings.md.
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: 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: 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.
Dead code: GetAggregateEventApplyMethodssrc/Akkatecture/Extensions/TypeExtensions.cs:133
✓ On the Gold path — maintain.
Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D18 · Solution Shape3.0 / 10Weak✓ Tool-verified
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.
16 projects, 323 source files, 19934 hand-written lines of code (12796 production / 7138 test), 30 inter-project edges (build failed).
Build failed
Thin analysable surface across projects
What to do
Resolve the 1 Build failed finding(s) in Solution Shape. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Thin analysable surface across projects finding(s) in Solution Shape. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
1 naming inconsistencies across 200 sampled symbols.
The namespace 'Akkatecture.Configuration.DependancyInjection' contains a typo in the word 'Dependency' (spelled as 'Dependancy').
✓ On the Gold path — maintain.
Detailed fixes: d21_recommendation.md · top locations in Appendix A, every location in findings.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.
3 API inconsistencies across a 400-member sample of 215 exposed types.
Inconsistent naming for event emission. One method is named 'Emit' (singular) and the other 'EmitAll' (plural). While distinct in arity, the naming convention for the singular case ('Emit') vs the plural case ('EmitAll') is slightly inconsistent with common patterns like 'Emit' and 'EmitBatch' or 'EmitRange'. However, the primary inconsistency is that 'Emit' takes a generic type parameter and a specific event, while 'EmitAll' takes an array of the interface. A more consistent API might use 'Emit' for single and 'EmitMany' or 'EmitBatch' for multiple, or ensure the naming convention is parallel.
Inconsistent parameter types for result creation. 'SucceedWith' accepts either an ICommand or a string (commandId). 'FailWith' accepts either an ICommand or a string (commandId). This creates two different ways to create success/failure states, which can be confusing. It is unclear if passing the command object is preferred over the ID.
Both 'AggregateEventUpcaster' and 'DomainEventReadAdapter' have a 'FromJournal' method that takes an object and a string manifest. This suggests a shared responsibility for deserializing/describing journal events, but the return types (IEventSequence vs IEventSequence) and the context (upcasting vs reading) are slightly different. The naming 'FromJournal' is used in both, but one is for upcasting and one is for reading, which might be confusing.
✓ 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 / 10Critical◐ 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 Program.cs (2), IEventId.cs. — One of this dimension's main actionable groups (3 recommendation-level).
Detailed fixes: d24_recommendation.md · top locations in Appendix A, every location in findings.md.
1 of 16 projects flagged as possibly oversized/incoherent.
Split Akkatecture
What to do
Resolve the 1 Split Akkatecture 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.
Do you agree with this assessment?
D27 · Navigability7.7 / 10Strong✓ Tool-verified
What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.
Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.
Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.
94 % of calls cross a namespace and 7 % go through an interface, but 83 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.
What to do
Improve Navigability — currently 7.7/10. — 94 % of calls cross a namespace and 7 % go through an interface, but 83 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.
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 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).
High: dependabot-missing-cooldown · ×4.github/dependabot.yml:3detected by semgrep finding
Medium: missing-or-broken-authorizationexamples/web/Akkatecture.Examples.Api/Controllers/BaseController.cs:31detected by semgrep finding
What to do
Resolve the 4 High finding(s) in Static Analysis (SAST) — start with publish-nuget.yml (3), dependabot.yml. — One of this dimension's main actionable groups (4 issue-level).
Resolve the 1 Medium finding(s) in Static Analysis (SAST) — start with BaseController.cs. — One of this dimension's main actionable groups (1 warning-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether any dependencies have known published vulnerabilities (CVEs), direct or transitive.
Method: NuGet CVE scan via dotnet list package --vulnerable including transitive; severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer. Exhaustive, deterministic; degrades when absent.
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.
48 of 48 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs.
Largest orphaned file · ×2src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs
Dormant codebase
What to do
Resolve the 2 Largest orphaned file finding(s) in Knowledge Freshness — start with AggregateSaga.cs, AggregateRoot.cs. — One of this dimension's main actionable groups (2 recommendation-level).
Resolve the 1 Dormant codebase finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-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.
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.
+ 1 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Workflow token permissions not restricted finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Secret passed as a command-line argument finding(s) in Supply-chain Provenance & Signing. — 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.
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.
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 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.
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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.
Other · Domain Modelling — Whether aggregates reference each other by identity (id) rather than by direct object reference — the core DDD consistency-boundary rule.
Method: Roslyn (DDD-gated): aggregate roots identified by convention; each aggregate field checked for direct references to other aggregates versus id-only. Deterministic, DDD-native.
Coverage: Population: aggregate roots identified by AggregateRoot/IAggregateRoot base/interface NAME convention; reference-by-identity then checked exhaustively within that set — a root not using those names is invisible.
Other · Domain Modelling — How much of the domain uses strongly-typed ids vs raw Guid/string/int — adoption curve, not all-or-nothing.
Method: Roslyn (DDD-gated): strongly-typed id adoption on domain entities/events; raw Guid/int/string ids counted versus wrapped types. Deterministic, adoption percentage.
Coverage: Population: id-like members by *Id/*Key NAME suffix; strongly-typed-ID shape then checked semantically — non-suffixed identifiers are not seen.
`AggregateRoot.PersistenceId` is a raw `String` — give it a strongly-typed id: a dedicated single-field type wrapping the `String`, in whatever form your language spells that. — AggregateRoot.cs:62
`AggregateSaga.PersistenceId` is a raw `String` — give it a strongly-typed id: a dedicated single-field type wrapping the `String`, in whatever form your language spells that. — AggregateSaga.cs:67
What to do
Adopt strongly-typed ids across the domain — finish the migration or document the boundary; primitive ids invite transposed-argument bugs.
Do you agree with this assessment?
DM4 · Rich vs anemic model3.0 / 10Weak✓ Tool-verified
Other · Domain Modelling — Whether aggregates/entities carry the behaviour that protects their invariants, rather than being data bags driven by external services.
Method: Roslyn (DDD-gated): entity method BODIES classified mutator-vs-query — only methods that mutate the entity's own declared state count as invariant-protecting behaviour, so a getter/passthrough doesn't rescue an anemic class. Deterministic, exhaustive over domain-layer entities.
Coverage: Population: entities by name/base convention; rich-vs-anemic judged by classifying each method body mutator-vs-query — logic-bearing domain types outside the convention are invisible.
`IAggregateRoot` is an aggregate/entity with 1 data propert(ies) but no state-changing behaviour (only data and queries) — the business logic lives in a service. — IAggregateRoot.cs:42
What to do
Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.
Other · Domain Modelling — Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.
Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.
Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.
Other · Domain Modelling — Whether the domain layer stays free of infrastructure dependencies (EF/Marten/HTTP/ASP.NET) — the clean-architecture dependency rule.
Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES — resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.
Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES — rename the layer and the check evaporates.
Other · Domain Modelling — Whether clusters of primitives that travel together (a missing value object) are extracted — a low-weight suggestion, LLM-confirmed when configured.
Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.
Other · Event-Driven — Whether event handlers stay asynchronous (no blocking remote HTTP/gRPC calls awaited inside a handler).
Method: Roslyn semantic scan (event-driven gated): event-handler bodies scanned for HTTP/gRPC invocations by resolved symbol type, not substring. Deterministic, semantic-resolved.
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ED3 · Event naming7.0 / 10Strong✓ Tool-verified
Other · Event-Driven — Whether events are named in the past tense (a clarity nudge — low weight).
Method: Roslyn scan (event-driven gated): domain and integration events checked for past-tense naming (-ed/-en suffix or irregular set). Naming nudge, low-weight advisory.
`DomainEvent` reads as an instruction, not a fact that happened. Events describe something that already occurred — name them in the past tense (e.g. `OrderPlaced`, `PaymentCaptured`) so the ubiquitous language stays clear. — DomainEvent.cs:35
What to do
Name events in the past tense — they record facts that already happened.
Other · Event-Driven — Whether state changes and message publishes are atomic (a transactional outbox) rather than a crash-unsafe dual write.
Method: Roslyn semantic scan (event-driven gated): event-handler methods scanned for DB-save plus bus-publish without a transactional outbox reference. Deterministic, semantic-resolved.
`JobScheduler.Emit` writes to the database while `JobScheduler.Execute` publishes to the message bus in the same command-handling flow, with no outbox referenced on either path. Splitting the persist and the publish across sibling methods (or two collaborating actors) doesn't make them atomic — a crash between the two either loses the message or emits a phantom event. Use the transactional outbox pattern so the message is committed in the same transaction as the state change and dispatched afterwards. — JobScheduler.cs:240
What to do
Adopt the transactional outbox pattern so DB writes and message publishes commit atomically — no lost or phantom events on a crash.
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. (×4) — AggregateRoot.cs:373, AggregateRoot.cs:387, AggregateSaga.cs:533, …
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.
`Manifest` looks like it should compute a result but its body just returns a constant — a placeholder return that was never filled in. — AggregateEventTagger.cs:32
What to do
Finish or delete the unfinished stubs (NotImplementedException / empty / constant-returning bodies) — they are dead surface that looks live.
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 a README to the 16 of 16 project(s) that lack one — worth up to 2 pts.
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 `NNNN-title.md` documents 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 significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
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.
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.
Do you agree with this assessment?
P10 · Library API & versioning6.0 / 10Strong✓ 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. Exhaustive, deterministic.
269/270 types (100%) are public. For a library, every public type is a stability contract — make internal-by-default and expose only the intended API.
What to do
Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.
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.
What to do
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
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
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Readiness · Performance — Whether the library 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 — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.
No benchmark suite was found. Where code is performance-sensitive, a benchmark guards against silent regressions — but it's a bonus here, not a deduction.
What to do
Add a benchmarking harness for the hot paths and run it in CI to catch regressions (for .NET, a BenchmarkDotNet project with [MemoryDiagnoser] to track allocations).
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.
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.
1 blocking call(s) on async work (.Wait()/.GetAwaiter().GetResult()) — these waste a thread and can deadlock in a consumer with a synchronization context.
Only 0/14 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 — Cryptographic hygiene (weak hash/cipher, password key-derivation). This codebase has no web surface, so transport/header/cookie/CSRF controls are N/A and only crypto is scored.
MD5/SHA1 is constructed here, and both are collision-broken. If this digest protects anything — a signature, an integrity or tamper check, a credential, or any value an attacker can influence — that is a real weakness: use SHA-256+ for content integrity, or a KDF (PBKDF2/Argon2/BCrypt) for password storage. If it only derives a non-security identifier (a cache key, a file or mutex name), collision resistance carries no security consequence here; make that intent explicit instead — a non-cryptographic hash such as `System.IO.Hashing.XxHash64`/`Crc32` says it in code — since the algorithm alone cannot distinguish the two uses. — GuidFactories.cs:126
What to do
Review each MD5/SHA1 use by what it protects: replace it with SHA-256+ (or a KDF for passwords) where the digest is security-relevant, and switch it to a non-cryptographic hash (`System.IO.Hashing.XxHash64`/`Crc32`) where it only derives an identifier such as a cache key or a mutex name.
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). Prefer awaiting it: make the caller `async` and `await` instead. Where a synchronous entry point must stay — a public sync API you cannot break, or a process entry point that must not return until the work finishes — the block belongs in ONE documented bridge and never inside code that is already async; and where it already is that bridge, give the wait a TIMEOUT so a hung task fails the call instead of hanging the process. — Program.cs:89
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 0/5 async methods accept a CancellationToken, so in-flight work can't be stopped early when the caller gives up — whatever ends it in your host (shutdown signal, timeout, abandoned request, user cancel). Thread a token through the call chain and honour it at each await and loop; where a method genuinely cannot be interrupted, omitting it is a deliberate choice — judge against your hosting model.
No CancellationToken parameter — this work can't be stopped early once started. (×5) — OperationsController.cs:42, OperationsController.cs:50, ResourcesController.cs:50, …
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.
0/6 NRT-eligible project(s) enable <Nullable>enable</Nullable> (projects targeting a pre-C#-8 framework are excluded — NRTs aren't available there). 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?
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.
Not included — 47 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.
AX4 Dependency direction — not applicable to a CQRS architecture (the inward-dependency rule is for layered/clean styles)
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.
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.
C2 Access Controls — This is a dotnet-new template — authorization is deferred to the application you build from it. Add [Authorize]/policies (or imperative guards) when you wire up real users; until then there are no real endpoints to protect.
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.
D14 License Compliance — license scan produced no result — the tool ran but its JSON output could not be parsed; the offline NuGet fallback resolved nothing
D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
D19 Documentation Quality — LLM evaluation failed
D20 ADR Quality — N/A — this repo declares itself a template / kata / sample / demo; a formal ADR log is deferred to a real application built from it.
D23 Boundary Type-Coupling — Bounded contexts not declared
D25 ADR Conformance — no ADRs to check
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D32 Data Compliance (PII/GDPR) — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
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.
D38 OSV Dependency Vulnerabilities — No supported non-.NET dependency lockfile found outside build output (npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven pom.xml, Gradle lockfiles, Python requirements.txt/poetry.lock/Pipfile.lock/pdm.lock, PHP composer.lock, Ruby Gemfile.lock, Elixir mix.lock, Dart pubspec.lock, Swift Package.resolved); nothing for OSV to scan. A NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain.
D39 IL Efficiency — The target did not build, so no IL was available to measure.
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.
D7 Architectural Integrity — no checkable ADRs and no dependency cycles — architectural integrity not assessed
D8 Code Coverage — Coverage not measured — no coverage collector is wired up
DM3 Integration-event coupling — no integration events detected — coupling check not applicable
DM7 Repository granularity — no repository abstraction detected (e.g. uses a document session)
ED2 Event/command shape — no command-shaped messages detected — single-handler-per-command check not applicable
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 check looks for
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, 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'.
P2 Observability — This repo is a library, not a deployed service — it has no process to operate, so production observability (structured logging, tracing/metrics, health checks) is N/A. A library may log via an injected ILogger, but the absence of operational telemetry is not a defect here. If it grows a host (web API, worker), the dimension reactivates.
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 — not applicable — this isn't a service/API/worker
P8 Schema migrations — no EF Core usage detected
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (Cobertura — `dotnet test --collect:"XPlat Code Coverage"` with a `coverlet.collector` PackageReference) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X6 Hand-rolled structured-format parsing — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
X7 Silent fallback defaults — Reported, not scored — this card publishes what it found rather than grading it. Its content is the findings and the key metric above.
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.
High: dependabot-missing-cooldown .github/dependabot.yml:3— This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown. This is a semgrep security-AUDIT rule reporting a POLICY that is absent or weaker than its recommendation, not an exploitable defect. Confirm whether the current setting is a deliberate decision for this repository — and apply the change where it is not; where it is (a policy your release process already enforces elsewhere, or one this repository has consciously opted out of), record the decision and leave the configuration as it is.
High: github-actions-mutable-action-tag .github/workflows/publish-nuget.yml:21— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/publish-nuget.yml:23— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-dotnet@<40-character SHA>`. This step references `actions/setup-dotnet@v3`; resolve the SHA it points at today with `gh api repos/actions/setup-dotnet/commits/v3 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/publish-nuget.yml:47— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/create-release@<40-character SHA>`. This step references `actions/create-release@v1`; resolve the SHA it points at today with `gh api repos/actions/create-release/commits/v1 --jq .sha`.
NoWarnInCsproj test/Akkatecture.Tests.MultiNode/Akkatecture.Tests.MultiNode.csproj:5— xUnit1013 — this warning is switched off for the WHOLE project, in every file it builds, including code written years from now: nothing at the call site records that the rule was ever silenced, so the next reader has no reason to look here. Fix what the rule is reporting and drop the code from the list, or — if some occurrences really are legitimate — narrow the suppression to those sites and give each one its reason, so the rule keeps protecting the rest of the project.
NoWarnInCsproj src/Akkatecture.Clustering/Akkatecture.Clustering.csproj:28— NU5104 — this warning is switched off for the WHOLE project, in every file it builds, including code written years from now: nothing at the call site records that the rule was ever silenced, so the next reader has no reason to look here. Fix what the rule is reporting and drop the code from the list, or — if some occurrences really are legitimate — narrow the suppression to those sites and give each one its reason, so the rule keeps protecting the rest of the project.
NoWarnInCsproj Directory.Build.props:20— NU5104 — this warning is switched off for the WHOLE project, in every file it builds, including code written years from now: nothing at the call site records that the rule was ever silenced, so the next reader has no reason to look here. Fix what the rule is reporting and drop the code from the list, or — if some occurrences really are legitimate — narrow the suppression to those sites and give each one its reason, so the rule keeps protecting the rest of the project.
High CVE: System.Net.Http 4.3.0 — System.Net.Http 4.3.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Text.RegularExpressions 4.3.0 — System.Text.RegularExpressions 4.3.0 (transitive) has a High advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Text.Json 7.0.0 — System.Text.Json 7.0.0 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Critical CVE: Akka.Cluster 1.5.8 — Akka.Cluster 1.5.8 (transitive) has a Critical advisory; affects 7 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Critical CVE: Akka.Remote 1.5.8 — Akka.Remote 1.5.8 (transitive) has a Critical advisory; affects 8 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
D10 · Test Quality· No assertions (empty test) · ×1
No assertions (empty test): TestDistinctCommand_AfterTwoHandles_CommandFails test/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:358— Test method has an empty body — it asserts nothing and exercises no code.
TodoComment test/Akkatecture.MultiNodeTestRunner/Program.cs:212— //TODO: might need to do some validation here to avoid the 260 character max path error on Windows — 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 test/Akkatecture.MultiNodeTestRunner/Program.cs:223— // teamCityTest.WriteStdOutput(eventArgs.Data); TODO: open flood gates — 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 test/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:362— // TODO https://dev.azure.com/lutando/Akkatecture/_workitems/edit/25
Duplicated block (7 lines × 2) src/Akkatecture/Extensions/TypeExtensions.cs:344— src/Akkatecture/Extensions/TypeExtensions.cs:344-350 | src/Akkatecture.Clustering/Extentions/TypeExtensions.cs:48-54 — before extracting anything, compare `src/Akkatecture/Extensions/TypeExtensions.cs` and `src/Akkatecture.Clustering/Extentions/TypeExtensions.cs` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 33 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Extensions/TypeExtensions.cs:344` 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 (7 lines × 2) src/Akkatecture/Query/Consumer.cs:99— src/Akkatecture/Query/Consumer.cs:99-105 | src/Akkatecture/Query/Consumer.cs:114-120 — 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 `src/Akkatecture/Query/Consumer.cs:99` 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 (7 lines × 2) src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:323— src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:323-329 | src/Akkatecture/Subscribers/DomainEventSubscriber.cs:171-177 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:323` 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.
No assertions: InitialState_TestingSuccessCommand_SuccessResultReplied test/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:335— Test method exercises code but verifies nothing — add an assertion.
No assertions: InitialState_TestingFailedCommand_SuccessResultReplied test/Akkatecture.Tests/UnitTests/Aggregates/AggregateTests.cs:347— Test method exercises code but verifies nothing — add an assertion.
Deprecated: xunit — xunit 2.4.2 — Legacy — the publisher's replacement is `xunit.v3`; migrate the reference to it.
Deprecated: xunit.runner.utility — xunit.runner.utility 2.4.2 — Legacy — the publisher's replacement is `xunit.v3.runner.utility`; migrate the reference to it.
BareSuppressMessage test/Akkatecture.Tests.MultiNode/AggregateClusterTests.cs:66— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
BareSuppressMessage test/Akkatecture.Tests.MultiNode/AggregateSagaClusterTests.cs:70— SuppressMessage — the suppression records no reason: either it carries no justification argument at all, or one that states nothing a reader can weigh ("OK", "By design"). A suppression is a decision somebody made, and without the reason the next reader cannot tell a considered exception from an unexamined one, so it is never revisited. Write what makes this site legitimately different — the invariant that holds, the framework contract that forces the shape — or remove the suppression and fix what it hides.
Duplicated block (13 lines × 2) src/Akkatecture/Jobs/JobRunner.cs:69— src/Akkatecture/Jobs/JobRunner.cs:69-81 | src/Akkatecture/Subscribers/DomainEventSubscriber.cs:113-125 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Jobs/JobRunner.cs:69` 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 (13 lines × 2) src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:214— src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:214-226 | src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:311-323 — 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 `src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:214` 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 (10 lines × 2) src/Akkatecture/Aggregates/AggregateRoot.cs:300— src/Akkatecture/Aggregates/AggregateRoot.cs:300-309 | src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:405-414 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Aggregates/AggregateRoot.cs:300` 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 (10 lines × 2) src/Akkatecture/Extensions/TypeExtensions.cs:315— src/Akkatecture/Extensions/TypeExtensions.cs:315-324 | src/Akkatecture.Clustering/Extentions/TypeExtensions.cs:38-47 — before extracting anything, compare `src/Akkatecture/Extensions/TypeExtensions.cs` and `src/Akkatecture.Clustering/Extentions/TypeExtensions.cs` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 33 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Extensions/TypeExtensions.cs:315` 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.
dormant codebase — no living knowledge left to concentrate — All 48 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
Dead code: GetAggregateEventApplyMethods src/Akkatecture/Extensions/TypeExtensions.cs:133— Method GetAggregateEventApplyMethods — no references found in solution.
Build failed — The target solution did not build cleanly (errors: 2), which caps Solution Shape at 3/10 — the most basic shape signal is that it compiles. First errors: CS0023: Operator '.' cannot be applied to operand of type 'void'.
LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[0].suggestion | LineNumber: 0 | BytePositionInLine: 1175.
D22 · Internal API Consistency· Inconsistent naming for event emission. One method is named 'Emit' (singular) and the other 'EmitAll' (plural). While distinct in arity, the naming convention for the singular case ('Emit') vs the plural case ('EmitAll') is slightly inconsistent with common patterns like 'Emit' and 'EmitBatch' or 'EmitRange'. However, the primary inconsistency is that 'Emit' takes a generic type parameter and a specific event, while 'EmitAll' takes an array of the interface. A more consistent API might use 'Emit' for single and 'EmitMany' or 'EmitBatch' for multiple, or ensure the naming convention is parallel. · ×1
Inconsistent naming for event emission. One method is named 'Emit' (singular) and the other 'EmitAll' (plural). While distinct in arity, the naming convention for the singular case ('Emit') vs the plural case ('EmitAll') is slightly inconsistent with common patterns like 'Emit' and 'EmitBatch' or 'EmitRange'. However, the primary inconsistency is that 'Emit' takes a generic type parameter and a specific event, while 'EmitAll' takes an array of the interface. A more consistent API might use 'Emit' for single and 'EmitMany' or 'EmitBatch' for multiple, or ensure the naming convention is parallel. — Rename 'EmitAll' to 'EmitBatch' or 'EmitMany' to better reflect the collection nature, or rename 'Emit' to 'EmitOne' if strict parallelism is desired. Alternatively, provide a single 'Emit' method that accepts either a single event or a collection. (signatures: void AggregateRoot<TAggregate, TIdentity, TAggregateState>.Emit<TAggregateEvent>(TAggregateEvent aggregateEvent, IMetadata metadata = null) | void AggregateRoot<TAggregate, TIdentity, TAggregateState>.EmitAll(params IAggregateEvent<TAggregate, TIdentity>[] aggregateEvents))
D22 · Internal API Consistency· Inconsistent parameter types for result creation. 'SucceedWith' accepts either an ICommand or a string (commandId). 'FailWith' accepts either an ICommand or a string (commandId). This creates two different ways to create success/failure states, which can be confusing. It is unclear if passing the command object is preferred over the ID. · ×1
Inconsistent parameter types for result creation. 'SucceedWith' accepts either an ICommand or a string (commandId). 'FailWith' accepts either an ICommand or a string (commandId). This creates two different ways to create success/failure states, which can be confusing. It is unclear if passing the command object is preferred over the ID. — Standardize on using the specific ID types (ICommandId) or the command objects, but not both interchangeably. If the command object is required for context, use that; if only the ID is needed, use the ID. Avoid overloading with both object and primitive/ID types unless there is a clear distinction in behavior. (signatures: ICommandResult CommandResult.SucceedWith(ICommand command) | ICommandResult CommandResult.SucceedWith(string commandId) | ICommandResult CommandResult.FailWith(ICommand command, params string[] errors) | ICommandResult CommandResult.FailWith(string commandId, params string[] errors))
D22 · Internal API Consistency· Both 'AggregateEventUpcaster' and 'DomainEventReadAdapter' have a 'FromJournal' method that takes an object and a string manifest. This suggests a shared responsibility for deserializing/describing journal events, but the return types (IEventSequence vs IEventSequence) and the context (upcasting vs reading) are slightly different. The naming 'FromJournal' is used in both, but one is for upcasting and one is for reading, which might be confusing. · ×1
Both 'AggregateEventUpcaster' and 'DomainEventReadAdapter' have a 'FromJournal' method that takes an object and a string manifest. This suggests a shared responsibility for deserializing/describing journal events, but the return types (IEventSequence vs IEventSequence) and the context (upcasting vs reading) are slightly different. The naming 'FromJournal' is used in both, but one is for upcasting and one is for reading, which might be confusing. — Consider renaming 'FromJournal' in one of the classes to be more specific, e.g., 'Deserialize' or 'Parse', to distinguish between the upcasting pipeline and the read adapter pipeline. (signatures: IEventSequence AggregateEventUpcaster<TAggregate, TIdentity, TEventUpcaster>.FromJournal(object evt, string manifest) | IEventSequence DomainEventReadAdapter.FromJournal(object evt, string manifest))
Medium: missing-or-broken-authorization examples/web/Akkatecture.Examples.Api/Controllers/BaseController.cs:31— Anonymous access shouldn't be allowed unless explicit by design. Access control checks are missing and potentially can be bypassed. This finding violates the principle of least privilege or deny by default, where access should only be permitted for a specific set of roles or conforms to a custom policy or users. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
TooManyMethods: AggregateRoot src/Akkatecture/Aggregates/AggregateRoot.cs:0— TooManyMethods — 291 significant lines (blank, comment-only and punctuation-only lines excluded), 33 methods. 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.
Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 5 floating ref(s) across 2 workflow file(s). Each floating ref is itemized at file:line by the SAST (D29) lens.
Workflow token permissions not restricted — No workflow declares a `permissions:` block, so every job runs with the repository's default GITHUB_TOKEN scope (2 workflow file(s) checked). On a repository whose default is read/write, a compromised action or a malicious pull request inherits write access to code, issues, releases and packages. Declare a least-privilege `permissions:` block — `permissions: {contents: read}` at the top of each workflow, widened per job only where a job genuinely writes.
D36 · Supply-chain Provenance & Signing· Secret passed as a command-line argument · ×1
Secret passed as a command-line argument — 1 CI command(s) pass a credential as a bare command-line argument, where it is visible in the runner's process table to any other process on the host (and to anything that logs a command line): publish-nuget.yml: dotnet nuget push "*.nupkg" -k "${{secrets.NUGET_API_KEY}}" -s https://api.nuget.org/v3/index.json --skip-duplicate. Pass the credential through the environment instead (an `env:` mapping on the step, read by the tool from its own variable) or on stdin, so it never appears in an argument vector.
Duplicated block (13 lines × 3) src/Akkatecture/Aggregates/AggregateRoot.cs:535— src/Akkatecture/Aggregates/AggregateRoot.cs:535-547 | src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:171-183 | src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:263-275 — there are 3 copies across 2 file(s) — more copies than files, so at least one file holds the block twice. Extract it once into a single shared function every call site can reach and call it from all 3 sites; resolving a subset leaves the remainder to drift apart. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Aggregates/AggregateRoot.cs:535` 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 (12 lines × 2) src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:159— src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:159-170 | src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:248-262 — 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 `src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs:159` 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) src/Akkatecture/Extensions/TypeExtensions.cs:201— src/Akkatecture/Extensions/TypeExtensions.cs:201-210 | src/Akkatecture.Clustering/Extentions/TypeExtensions.cs:63-71 — before extracting anything, compare `src/Akkatecture/Extensions/TypeExtensions.cs` and `src/Akkatecture.Clustering/Extentions/TypeExtensions.cs` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 33 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Extensions/TypeExtensions.cs:201` 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 (6 lines × 2) src/Akkatecture/Extensions/TypeExtensions.cs:237— src/Akkatecture/Extensions/TypeExtensions.cs:237-242 | src/Akkatecture.Clustering/Extentions/TypeExtensions.cs:71-76 — before extracting anything, compare `src/Akkatecture/Extensions/TypeExtensions.cs` and `src/Akkatecture.Clustering/Extentions/TypeExtensions.cs` as WHOLE FILES: this scan already matched 4 separate duplicated blocks between them, totalling at least 33 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `src/Akkatecture/Extensions/TypeExtensions.cs:237` 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.
Coverage not measured — no coverage collector is wired up — Coverage NOT MEASURED: the test suite built and its tests PASSED, but the run produced no coverage data — `--collect:"XPlat Code Coverage"` found no data collector, which is what a test project with no `coverlet.collector` PackageReference does. Nothing is wrong with the suite or the build; there is simply no coverage instrumentation wired up. Add a `coverlet.collector` PackageReference to the test project(s) (or commit the Cobertura/OpenCover/lcov report your CI produces) and real coverage will be measured. It is excluded from the score rather than counted as a near-zero defect.
redundant comment examples/cluster/Akkatecture.Examples.ClusterClient/Program.cs:1— "The MIT License (MIT)" — delete - boilerplate license header restating the file's license
redundant comment src/Akkatecture/Aggregates/IEventId.cs:4— "Copyright (c) 2015-2021 eBay Software Foundation" — delete - repeated license header line; only one real copyright year matters
redundant comment examples/cluster/Akkatecture.Examples.Seed/Program.cs:8— "Permission is hereby granted, free of charge, to any person obtaining a copy of" — delete - boilerplate grant clause restating the license terms
D34 · Knowledge Freshness· Largest orphaned file · ×2
Largest orphaned file src/Akkatecture/Sagas/AggregateSaga/AggregateSaga.cs— One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Largest orphaned file src/Akkatecture/Aggregates/AggregateRoot.cs— One of the largest files with no living knowledge remaining — a reasonable place to start a read-through before the aggregate risk above bites.
Thin analysable surface across projects — 3 project(s) carry only a thin slice of real code (e.g. `Akkatecture.Examples.Application` with 21 significant line(s)). The mean analysable-surface weight is 92 %, lowering Solution Shape by about 0.64 point(s). Consolidate thin projects or grow them into substantial, well-scoped assemblies.
D21 · Naming Consistency· The namespace 'Akkatecture.Configuration.DependancyInjection' contains a typo in the word 'Dependency' (spelled as 'Dependancy'). · ×1
The namespace 'Akkatecture.Configuration.DependancyInjection' contains a typo in the word 'Dependency' (spelled as 'Dependancy'). — Rename namespace to 'Akkatecture.Configuration.DependencyInjection' to correct the spelling of 'Dependency'. (symbols: Akkatecture.Configuration.DependancyInjection, Akkatecture.Configuration.DependencyInjection)
D23 · Boundary Type-Coupling· Bounded contexts not declared · ×1
Bounded contexts not declared — At 12800 production LoC spread over 16 projects the codebase is large and multi-module, so explicit bounded contexts are needed. Name this codebase's bounded contexts (≥2 module groups, e.g. per subsystem) so cross-boundary type coupling can 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"]`.
Split Akkatecture — At 9701 LoC the project is large and spans 28 namespaces, far exceeding the threshold for a grab-bag. Suggested: by namespace: Akka.Actor, Akka.Persistence, Akka.EventStore
Dormant codebase — 48 of 48 significant files have no living knowledge — the codebase as a whole is dormant, not 48 separate risks. Re-engage owners or document before change.
No build provenance — No SLSA provenance generation or build attestation found in CI — nothing binds a released artifact to the build that produced it, so a consumer cannot tell your artifact from a substituted one. On GitHub Actions, `actions/attest-build-provenance` (or slsa-github-generator) emits one from the job's own OIDC identity; elsewhere, run `cosign attest` over the released artifact from the release pipeline and publish the attestation beside it.
No artifact signing — No artifact signing found in CI — sign your released artifacts with whatever your ecosystem ships (a GPG/minisign detached signature — or `cosign sign-blob` — over the release archives, or over a checksum file published alongside them, Authenticode via signtool, or `dotnet nuget sign` for packages) so consumers can verify what you built.
D36 · Supply-chain Provenance & Signing· No SBOM · ×1
No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`sbom-tool generate` (install it with `dotnet tool install --global Microsoft.Sbom.DotNetTool`) or `dotnet CycloneDX` over the solution, `syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.
Outdated: Akka.Persistence.Query — Akka.Persistence.Query 1.5.8 → 1.5.70 available (referenced by Akkatecture).
Outdated: Cronos — Cronos 0.7.1 → 0.13.0 available (referenced by Akkatecture).
Outdated: Microsoft.Extensions.DependencyInjection.Abstractions — Microsoft.Extensions.DependencyInjection.Abstractions 7.0.0 → 10.0.10 available (referenced by Akkatecture).
Outdated: Microsoft.SourceLink.GitHub — Microsoft.SourceLink.GitHub 1.1.1 → 10.0.301 available (referenced by Akkatecture).
Outdated: Newtonsoft.Json — Newtonsoft.Json 13.0.3 → 13.0.4 available (referenced by Akkatecture).
Outdated: Akka.Cluster.TestKit — Akka.Cluster.TestKit 1.5.8 → 1.5.70 available (referenced by Akkatecture.Tests).
Outdated: Akka.TestKit.Xunit2 — Akka.TestKit.Xunit2 1.5.8 → 1.5.70 available (referenced by Akkatecture.Tests).
Outdated: coverlet.msbuild — coverlet.msbuild 6.0.0 → 10.0.1 available (referenced by Akkatecture.Tests).
Outdated: FluentAssertions — FluentAssertions 6.11.0 → 8.10.0 available (referenced by Akkatecture.Tests).
Outdated: GitHubActionsTestLogger — GitHubActionsTestLogger 2.3.2 → 3.0.5 available (referenced by Akkatecture.Tests).
Outdated: Microsoft.NET.Test.Sdk — Microsoft.NET.Test.Sdk 17.6.2 → 18.8.1 available (referenced by Akkatecture.Tests).
Outdated: xunit — xunit 2.4.2 → 2.9.3 available (referenced by Akkatecture.Tests).
Outdated: xunit.runner.visualstudio — xunit.runner.visualstudio 2.4.5 → 3.1.5 available (referenced by Akkatecture.Tests).
Outdated: Akka.TestKit — Akka.TestKit 1.5.8 → 1.5.70 available (referenced by Akkatecture.TestHelpers).
Outdated: Akka.Cluster.Sharding — Akka.Cluster.Sharding 1.5.8 → 1.5.70 available (referenced by Akkatecture.Clustering).
Outdated: xunit.runner.utility — xunit.runner.utility 2.4.2 → 2.9.3 available (referenced by Akkatecture.MultiNodeTestRunner).
Outdated: Akka.Remote.TestKit — Akka.Remote.TestKit 1.5.8 → 1.5.70 available (referenced by Akkatecture.NodeTestRunner).
Outdated: Microsoft.Extensions.DependencyModel — Microsoft.Extensions.DependencyModel 7.0.0 → 10.0.10 available (referenced by Akkatecture.NodeTestRunner).
Outdated: Akka.MultiNode.TestAdapter — Akka.MultiNode.TestAdapter 1.5.8 → 1.5.70 available (referenced by Akkatecture.Tests.MultiNode).
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.
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
semgrep: not applicable — Data compliance (PII/GDPR) was not assessed in this scan — no ruleset is currently available for it. This says nothing about how this repository handles personal data, in either direction.
trivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
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.
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.
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.
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
—
Run 019fc822-5cea-7481-b447-aa738a8f1454 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 13 · Warnings: 36 · Recommendations: 13 · Info: 19 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 03-08-2026 @ 14:58 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.