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fuegoservicios-lab/MealfitRD-Backend

https://github.com/fuegoservicios-lab/MealfitRD-Backend · scanned 2026-06-16 04:25 UTC (2 months ago)

95 raw signals (0 security + 95 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 89 actionable findings from 1 signal source. 6 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 · 89 findings

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Severity: Critical 0 High 2 Medium 7 Low 48 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 89 Crowd 0 Layer: Software 25 Cicd 1 Quality 61 Security 2

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

View all duplicates & near-duplicates findings →

Commented-out code 32 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/`.

12 matching findings on this repo

info Commented-code block (6 lines) in bg_executor.py:164
info Commented-code block (7 lines) in sentiment_classifier.py:23
info Commented-code block (7 lines) in utils_push.py:9
info Commented-code block (6 lines) in db_chat.py:21
info Commented-code block (8 lines) in conftest.py:26
info Commented-code block (6 lines) in db_core.py:27
info Commented-code block (8 lines) in humanize_ingredients.py:4
info Commented-code block (13 lines) in proactive_agent.py:34
info Commented-code block (8 lines) in db_facts.py:19
info Commented-code block (10 lines) in llm_provider.py:64
info Commented-code block (5 lines) in memory_manager.py:43
info Commented-code block (6 lines) in rate_limiter.py:67

View all commented-out code findings →

Config drift 5 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.

5 matching findings on this repo

low Possibly dead Python function: configure_sync_conn db_core.py:259
low Possibly dead Python function: configure_async_conn db_core.py:276
low Possibly dead Python function: configure_checkpoint_conn db_core.py:289
low Possibly dead Python function: is_neon_auth_configured neon_auth.py:55
high Agent instruction/config may expose a secret: CLAUDE.md CLAUDE.md:316

View all config drift findings →

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