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reasonableplan/harnessai

https://github.com/reasonableplan/harnessai · scanned 2026-06-15 23:48 UTC (2 months, 3 weeks ago)

75 raw signals (0 security + 75 graph)

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Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 73 actionable findings from 1 signal source. 2 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 73 findings

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Severity: Critical 1 High 7 Medium 12 Low 40 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 73 Crowd 0 Layer: Software 4 Hardware 2 Frontend 1 Security 10 Cicd 1 Quality 48 Api 7

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 2 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

2 matching findings on this repo

low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 4 places

View all duplicates & near-duplicates findings →

Legacy markers 9 findings

What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.

Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.

How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.

Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.

9 matching findings on this repo

low Old/deprecated-named symbol `is_legacy` in skills/ha-build/run.py:129
low Old/deprecated-named symbol `is_legacy` in skills/ha-redesign/run.py:123
low Old/deprecated-named symbol `is_legacy` in skills/ha-plan/run.py:175
low Old/deprecated-named symbol `is_legacy` in skills/ha-review/run.py:756
low Old/deprecated-named symbol `is_legacy` in skills/ha-verify/run.py:140
low Old/deprecated-named symbol `is_legacy` in backend/tests/orchestrator/test_skel…
low Old/deprecated-named symbol `is_legacy` in backend/tests/skills/test_ha_verify_…
low Old/deprecated-named symbol `is_legacy` in backend/tests/skills/test_ha_review_…
low Old/deprecated-named symbol `is_legacy` in backend/src/orchestrator/skeleton_ha…

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Commented-out code 11 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

11 matching findings on this repo

info Commented-code block (5 lines) in skills/ha-build/run.py:468
info Commented-code block (5 lines) in skills/ha-redesign/run.py:310
info Commented-code block (5 lines) in skills/ha-plan/run.py:287
info Commented-code block (5 lines) in skills/ha-review/run.py:106
info Commented-code block (6 lines) in backend/tests/orchestrator/test_agent_matchin…
info Commented-code block (5 lines) in backend/src/orchestrator/consistency.py:94
info Commented-code block (7 lines) in backend/src/orchestrator/capabilities.py:14
info Commented-code block (5 lines) in backend/src/orchestrator/context.py:208
info Commented-code block (5 lines) in backend/src/orchestrator/profile_loader.py:411
info Commented-code block (5 lines) in backend/src/orchestrator/consistency_checker.…
info Commented-code block (5 lines) in backend/src/orchestrator/plan_manager.py:46

View all commented-out code findings →

Config drift 2 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

2 matching findings on this repo

high Agent instruction/config may expose a secret: skills/ha-review/SKILL.md skills/ha-review/SKILL.md:91
high Agent instruction/config may expose a secret: backend/agents/mobile_coder_ios/C… backend/agents/mobile_coder_ios/CLAUDE.md:86

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