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google-ai-edge/LiteRT-LM

https://github.com/google-ai-edge/LiteRT-LM.git · scanned 2026-06-09 04:37 UTC (19 hours, 29 minutes ago) · 10 languages

412 raw signals (158 security + 254 graph) 11/13 scanners ran 100th percentile · C · medium (20-100K LoC) System graph score 90 (lower by 11)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 days, 19 hours ago · v12 · 107 actionable findings from 2 signal sources. 115 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 100.0 0.25 25.00
testing_score 46.0 0.20 9.20
documentation_score 99.0 0.15 14.85
practices_score 76.0 0.15 11.40
code_quality 66.0 0.10 6.60
Overall 1.00 79.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
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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 6 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.
6 matching findings on this repo
  • low Near-duplicate function bodies in 3 places repo-level
  • low Near-duplicate function bodies in 2 places repo-level
  • low Near-duplicate function bodies in 5 places
  • low Near-duplicate function bodies in 10 places
  • low Near-duplicate function bodies in 6 places
  • low Near-duplicate function bodies in 4 places
View all duplicates & near-duplicates findings →
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 (5 lines) in js/packages/core/src/wasm_binding_types.ts:179
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 [MINED106] Phantom test coverage: test_sampler_config_validation: Test function… python/litert_lm/engine_test.py:168
  • info TODO/FIXME marker in shipping code — js/packages/core/src/conversation_config.t…
View all config drift findings →
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