What problem does it solve?
It prevents risky or incorrect changes from being merged by forcing a structured, evidence-backed review across correctness, security, and other critical quality dimensions.
Core Features & Use Cases
- Evidence-first pre-merge review: Ranks findings (CRITICAL/MAJOR/MINOR/SUGGESTION) and blocks when required source, approval, validator output, or runtime receipt proof is missing.
- Special handling for refactors and protected simplification blocks: Enforces symbol/caller evidence checks and blocks approvals when simplification markers are malformed or overlap protected ranges.
- Actionable output for the code-review handoff: Produces a consistent decision report with evidence, confidence scoring requirements, and a clear nextAction.
Quick Start
Before you merge, ask your AI tool to run the code-review workflow for the PR and return a severity-ranked verdict with exact evidence and the nextAction if anything is missing.