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gnachman/iTerm2

https://github.com/gnachman/iTerm2 · scanned 2026-06-05 21:09 UTC (4 days, 12 hours ago) · 10 languages

614 raw signals (198 security + 416 graph) 11/13 scanners ran 38th percentile · C · huge (>500K LoC) System graph score 76 (lower by 12)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 12 hours ago · v2 · 262 actionable findings from 2 signal sources. 144 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 40.0 0.15 6.00
security_score 100.0 0.25 25.00
testing_score 32.0 0.20 6.40
documentation_score 71.0 0.15 10.65
practices_score 73.0 0.15 10.95
code_quality 50.0 0.10 5.00
Overall 1.00 64.0
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all

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 3 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.
3 matching findings on this repo
  • low Near-duplicate function bodies in 2 places repo-level
  • low Near-duplicate function bodies in 3 places repo-level
  • low Near-duplicate function bodies in 5 places
View all duplicates & near-duplicates findings →
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 (17 lines) in api/library/python/iterm2/gen_binding.py:18
  • info Commented-code block (5 lines) in api/library/python/iterm2/iterm2/connection.p…
  • info Commented-code block (11 lines) in sources/Browser/Core/challenge-frame-detecti…
  • info Commented-code block (11 lines) in sources/Browser/Core/cloak-page-world.js:1
  • info Commented-code block (5 lines) in tools/ply/ply-3.4/ply/yacc.py:34
  • info Commented-code block (5 lines) in tools/ply/ply-3.4/ply/cpp.py:112
  • info Commented-code block (6 lines) in tools/ply/ply-3.4/doc/makedoc.py:7
  • info Commented-code block (5 lines) in tools/ply/ply-3.4/example/BASIC/basic.py:31
  • info Commented-code block (5 lines) in tools/ply/ply-3.4/example/BASIC/basiclog.py:39
  • info Commented-code block (10 lines) in tools/ply/ply-3.4/example/GardenSnake/Garden…
  • info Commented-code block (5 lines) in tools/perf/analyze_self_time.py:152
View all commented-out code findings →
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