dora-rs/dora

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Scan timing: clone 5.28s · analysis 21.67s · 8.1 MB · GitHub API rate-limit (preflight)

https://github.com/dora-rs/dora · scanned 2026-06-05 15:00 UTC (5 days, 3 hours ago) · 10 languages

462 raw signals (198 security + 264 graph) 11th percentile · Rust · large (100-500K LoC) System graph score 77 (lower by 20)

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Complete repo analysis

Last scanned 5 days, 3 hours ago · v2 · 156 actionable findings from 2 signal sources. 172 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 · 62 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	26.4	0.25	6.60
`testing_score`	45.0	0.20	9.00
`documentation_score`	100.0	0.15	15.00
`practices_score`	84.0	0.15	12.60
`code_quality`	47.6	0.10	4.76
Overall		1.00	57.0

Severity distribution — click a segment to filter

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Severity: Critical 5 High 58 Medium 15 Low 55 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 94 System graph 62 Crowd 0 Layer: Software 90 Cicd 11 Quality 40 Security 5 Api 1 Network 1 Hardware 7 Frontend 1

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 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 4 places
low Near-duplicate function bodies in 6 places

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Commented-out code 2 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/`.

2 matching findings on this repo

info Commented-code block (5 lines) in examples/python-dataflow-builder/test_builder…
info Commented-code block (5 lines) in examples/python-zero-copy-send/test_contract.…

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