What problem does it solve?
It converts incoming code review feedback into a rigorous, evidence-backed resolution plan before any edits happen, preventing performative agreement and reducing the risk of accepting incorrect or unsafe suggestions.
Core Features & Use Cases
- Finding triage before changes: normalize reviewer feedback into stable finding IDs with severity, file/line impact, evidence status, and blocker tracking.
- Decision-by-evidence workflow: accept, accept-with-change, reject-with-evidence, clarify, defer, or escalate—grounded in code/spec/test/verification output rather than intent.
- Verification and traceable outcomes: require targeted verification for accepted fixes, record tradeoffs and residual risk, and produce a final response mapping every finding to an outcome.
Quick Start
When you receive PR or reviewer comments, tell your AI: “Use receiving-code-review to evaluate each finding with evidence before implementing any suggestion, then produce a per-finding resolution record with verification.”