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abotica/judita-ai

https://github.com/abotica/judita-ai · scanned 2026-06-17 01:28 UTC (1 month, 2 weeks ago)

27 raw signals (0 security + 27 graph)

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Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -9.8 (diff) · 25 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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88.9% cov · 25 findings

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Severity: Critical 0 High 0 Medium 8 Low 14 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 25 Crowd 0 Layer: Software 8 Frontend 2 Hardware 4 Security 1 Quality 10

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 1 finding

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.

1 matching finding on this repo

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

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Commented-out code 1 finding

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/`.

1 matching finding on this repo

info Commented-code block (6 lines) in backend/ingestion/parsing/eli_meta.py:8

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Config drift 1 finding

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.

1 matching finding on this repo

low Possibly dead Python function: configure backend/shared/logging.py:5

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