Cbcrouse/CleanArchitecture

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

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

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

0 method(s) exceeded the cyclomatic complexity threshold of 15.

✓ On the Gold path — maintain.

Detailed fixes: d1_recommendation.md.

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

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

Maturity: Documented → Verified → Prevented · effective 9.2 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cognitive complexity threshold of 15; the worst was DataAnnotationsValidator.TryValidateObjectRecursive at 31.

✓ On the Gold path — maintain.

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

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

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

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

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

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

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

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

0 duplicated block group(s) detected.

✓ On the Gold path — maintain.

Detailed fixes: d4_recommendation.md.

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

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

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

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

16 projects, 0 dependency cycle(s), 0 unstable depended-on project(s).

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md · top locations in Appendix A, every location in findings.md.

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

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

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

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

0 of 0 classes have LCOM4 above 3.

✓ On the Gold path — maintain.

Detailed fixes: d6_recommendation.md.

What it measures: How much of the code is actually exercised by tests.

Method: Coverage from coverlet runs or committed reports (Cobertura/OpenCover/lcov), computed per-file with structured exclusions for generated, trivial, and glue code. When the suite can't be built/run in-image AND no report is committed, coverage is reported NOT-MEASURED (excluded from the score) with the precondition to make it measurable — never a LoC-ratio proxy folded in as if measured. Deterministic.

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

Line coverage 100.0%, branch coverage 97.2%.

✓ On the Gold path — maintain.

Detailed fixes: d8_recommendation.md.

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

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

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

31 test methods: 31 unit, 0 integration, 0 BDD, 0 e2e.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 5.6 / 10 · rule-coverage 100% · ceiling Prevented

0 skipped, 8 zero-assertion, no mocking-framework packages referenced (hand-written doubles or no mocking) across 54 tests.

What to do

1. Resolve the 8 No assertions (empty test) finding(s) in Test Quality — start with UnitTest1.cs (8). — One of this dimension's main actionable groups (8 issue-level).
2. Enforce Test Quality in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d10_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether 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.

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

0 flaky across 2 measured tier(s). unit: measured (0 flaky); other: measured (0 flaky).

✓ On the Gold path — maintain.

Detailed fixes: d11_recommendation.md.

What it measures: Whether dependencies are current, secure, and not bloated.

Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.

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

0 outdated, 0 vulnerable, 0 deprecated packages.

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.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.

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

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

What it measures: Whether the licenses of third-party packages are compatible with your policy.

Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.

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

0 of 52 packages use a banned license.

✓ On the Gold path — maintain.

Detailed fixes: d14_recommendation.md.

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

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

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

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

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

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

Maturity: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Prevented

2 deducted debt markers + 0 dead symbols across 1892 LoC (0.2/KLoC) → score 9.7.

✓ On the Gold path — maintain.

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

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.

Maturity: Documented → Verified → Prevented · effective 7.0 / 10 · rule-coverage 100% · ceiling Documented

16 projects, 72 source files, 2667 hand-written lines of code (1892 production / 775 test), 52 inter-project edges.

What to do

1. Resolve the 1 Monorepo finding(s) in Solution Shape. — One of this dimension's main actionable groups (1 warning-level).
2. 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.

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

0 naming inconsistencies across 200 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

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

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

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

0 of 16 projects flagged as possibly oversized/incoherent.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 8.9 / 10 · rule-coverage 100% · ceiling Documented

89 % of calls cross a namespace and 13 % go through an interface, but 91 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.

What to do

1. Improve Navigability — currently 8.9/10. — 89 % of calls cross a namespace and 13 % go through an interface, but 91 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.

Detailed fixes: d27_recommendation.md.

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

Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.

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

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

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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

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

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

Maturity: Documented → Verified → Prevented · effective 1.7 / 10 · rule-coverage 100% · ceiling Documented

11 finding(s): 0 critical, 10 high, 0 medium, 1 low.

What to do

1. Resolve the 10 High finding(s) in Static Analysis (SAST) — start with build.ca-sln-sql.yml (5), build.ca-sln.yml (5). — One of this dimension's main actionable groups (10 issue-level).
2. Resolve the 1 Low finding(s) in Static Analysis (SAST) — start with Startup.cs. — One of this dimension's main actionable groups (1 recommendation-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.

Maturity: Documented → Verified → Prevented · effective 2.6 / 10 · rule-coverage 100% · ceiling Documented

15 vulnerable package(s): 1 critical, 8 high, 6 medium, 0 low.

What to do

1. Resolve the 8 High CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (8 issue-level).
2. Resolve the 6 Medium CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (6 warning-level).
3. Resolve the 1 Critical CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (1 issue-level).

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

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (Dockerfile/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 9.3 / 10 · rule-coverage 100% · ceiling Documented

5 finding(s): 0 critical, 1 high, 3 medium, 1 low.

✓ On the Gold path — maintain.

Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.

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

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

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

9 of 9 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is templates/ca-sln-sql/src/Presentation.API/Extensions/ServiceCollectionExtensions.cs.

What to do

1. Resolve the 1 Further orphaned files (smaller) 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.

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

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

Method: IL instruction count per method, read from the BUILT first-party assemblies via Mono.Cecil (the target is compiled on a deep run); scored on the fraction of methods whose emitted IL body exceeds the size threshold. Sees compiler-generated bloat source can't; not-applicable when the target fails to build. Deterministic.

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

1 of 21 first-party methods have an oversized IL body.

✓ On the Gold path — maintain.

Detailed fixes: d39_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.

What to do

• The domain core is a small share of production code — check that business logic isn't leaking into the application/infrastructure layers (a thin domain is the anemic-domain smell).

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

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

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

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

Other · Architecture — Whether 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.

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 · Security — Whether access is authorized by default — a framework authorization attribute/decorator or policy, or imperative guard methods (throw-on-violation) called from handlers.

Method: Roslyn scan: [Authorize] usage and authorization policies, plus imperative throw-on-violation guard methods detected via syntax. Deterministic.

• Authorization machinery exists but no [Authorize] usage and no imperative guard calls were found at handlers.

What to do

• Enforce authorization at every handler — call the guard method (throw-on-violation) from each one, or adopt [Authorize] so protected-by-default is demonstrable.

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.

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.

Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.

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 15 of 16 project(s) that lack one — worth up to 1.9 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 repo is organised deliberately — src/test separation and consistent project naming.

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

• Production code isn't grouped under a src/ folder — it all sits under templates/ alongside the root build files, so the conventional src/ boundary between the product and its tooling isn't drawn.
• Tests aren't grouped in a dedicated test folder — the test surface isn't separable from production code at a glance.
• Only 5/16 projects share a common root namespace — the code's module identity is inconsistent.

What to do

• Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.
• Group tests in the folder your build system expects (tests/, test/, spec/, or your module's test source set) so the test surface is discoverable and CI can scope it.
• Adopt a consistent root-namespace convention (a shared prefix, e.g. Acme.*); short project-file/directory names are fine as long as the RootNamespace is uniform.

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.

• README omits the Infrastructure project entirely
• README omits the Events project entirely

What to do

• Reconcile the README with reality: README omits the Infrastructure project entirely; README omits the Events project entirely.

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.

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.

• 52/53 types (98%) 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 the code is diagnosable in production — structured logging, tracing/metrics, health checks.

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

• Only 3/6 service-like projects use logging (pure contract/DTO projects are excluded — they have nothing to log). Of those 6, 3 ship a process this repository operates; the rest are libraries their consumer hosts, where the logging decision belongs to the host.

What to do

• Extend structured logging across the projects you operate, and give the library ones a diagnostics seam instead — an `EventSource`/`ActivitySource` the host can subscribe to, or an optional logger on your options object — rather than taking a logging dependency on your consumers' behalf.
• Add OpenTelemetry tracing/metrics (ActivitySource / AddMetrics) so requests are traceable across the system, not just health-probable.

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

• Enable Dependabot/Renovate or a dependency-review gate.
• 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.

• Deployment is orchestrated by compose, but no service declares a `healthcheck:` and nothing pins a previous image to fall back to — the runtime can tell that the container is up, not that it is serving, so a bad release is harder to detect and reverse.

What to do

• Add a `healthcheck:` to the served compose service — probing the endpoint it already answers on where it has one — with `depends_on: condition: service_healthy` on whatever waits for it, and keep the deployed image tag immutable and recorded so rolling back is re-pointing at the previous tag rather than rebuilding.
• Add an approval/environment gate (required reviewers / protection rules) before production promotion.

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

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

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

What to do

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

Readiness · Readiness — Whether EF Core schema changes go through versioned migrations rather than the un-evolvable EnsureCreated().

Method: Roslyn scan: EF Core DbContext for a versioned migrations directory versus bare EnsureCreated usage. Exhaustive per project, deterministic.

• EF Core is used but neither migrations nor EnsureCreated were detected — confirm how the production schema is created and evolved.

What to do

• Adopt a versioned schema-migration mechanism (with EF Core: dotnet ef migrations add + Migrate() on startup) as the explicit, versioned schema strategy — no migration mechanism was detected.

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.

Method: Production-source scan: density (per 1k LoC) of allocation-aware APIs — Span/Memory, ArrayPool/ObjectPool, stackalloc, ValueTask, value-type structs, IBufferWriter, string.Create, SkipLocalsInit. Reward-only. Deterministic, syntax/text detection.

• 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.

• Only 0/7 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

• In library code, append .ConfigureAwait(false) to every await (or set <ConfigureAwait>false</ConfigureAwait> / use the analyzer CA2007) so the library never captures the host's context.

Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).

Method: Roslyn plus filesystem scan: HSTS/security headers, secure cookies, input validation, middleware order, weak crypto (MD5/SHA1/DES); HTTPS-metadata context-aware. Deterministic.

• No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)

What to do

• Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.

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.

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 3/4 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 — the body observes an ambient token instead (a field or a context object), so the work does stop on cancellation, but a caller cannot cancel this call independently of the owner that created that token. — TodoItemController.cs:39

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.

• 4/8 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 `!`.