Every staged diff, checked against your rules and decisions
Each finding carries its source — your rule, or the decision it traces back to. Tight enough to leave on: no false-positive noise.
Catch the bug before the commit,
not in production.
commitmind review and the pre-commit gate read your diff in-session — deterministic rules plus a two-pass AI reviewer, security and correctness, flag real bugs, injection, banned APIs, and the decisions you're about to break before the code lands. Every candidate is adversarially refuted before it surfaces — signal, not noise. Each finding makes the next diff cleaner.
From one staged diff
to the whole codebase.
The same deterministic engine runs at the pre-commit gate and across every file — the OWASP/GOSEC security pack flags real vulnerabilities with interprocedural taint, not regex guesses.
Quiet enough to leave on.
We don't just score against the OWASP Benchmark (F1 0.88, precision 0.85 / recall 0.91) — we run the same engine across 26 mature OSS codebases, 270K lines of real production code, and publish what it finds: just 0.08 false-positives per 1,000 lines, with 111 real known-CVE dependency advisories surfaced as a separate bucket. Signal, not noise.
● full · ◆ AI-pack extended · ○ partial. Deterministic static analysis flags what code can prove — deepest on Go (SSA-based taint), seven languages. AI soft-rule packs reach into the classes static can't fully model: dropped authorization guards, IDOR and mass-assignment (A01), missing rate limits on sensitive routes (A04), unsafe deserialization (A08). A pack rule only gatesonce it clears a precision/recall bar on a curated corpus — until then it's advisory, never a spurious block. We still say where it stops: missing MFA and brute-force gaps need runtime.
AI packs validated on a curated corpus spanning four frameworks — OWASP Top-10, HIPAA, PCI-DSS and SOC 2 — 194 cases across nine languages, regenerated on every eval run. Each rule gates only above its precision/recall bar; the rest stay advisory. See the compliance breakdown below.
Your AI just shipped a HIPAA violation.
Your linter said nothing.
Generated code drops an authorization guard, logs a card number, sends PHI over plaintext — all valid syntax, all invisible to a linter. CommitMind is the review that gates the commit on HIPAA, PCI, and SOC 2, and proves it with precision and recall — not a logo wall.
194 hand-curated cases across 4 frameworks and 9 languages — each a real violation next to its look-alike safe carve-out. Every rule is scored for precision and recall and regenerated on every eval run from a committed harness; a rule gates only once it clears the bar.
A rule gates only once it clears the bar (precision ≥0.85, recall ≥0.50, ≥6 cases); below it, it surfaces but never blocks. We publish what it still gets wrong: unsafe-deserialization precision dips on the hardest trusted-domain carve-out, so it stays advisory. Ruby, PHP, Kotlin and Rust are spot-checked, not yet validated at the depth of Python, JS, Go, Java and C#.