What problem does it solve?
It helps you systematically handle pull request review feedback so each comment results in an appropriate action—code changes, clear explanations, or properly tracked follow-ups—without creating noise or losing reviewer trust.
Core Features & Use Cases
- Comment triage and response mapping: Categorizes each review comment (bug, suggestion, question, style, out-of-scope) into the right next step.
- Minimal, focused code updates: Produces the smallest possible commits that address each comment rather than bundling unrelated work.
- Threaded accountability and review completion: Responds to every comment thread with commit hashes, rationale, or issue links, then re-requests review once everything is addressed.
- Use Case: You receive multiple review comments spread across files and threads and need to convert them into a coherent set of commits and responses that satisfies the reviewer and moves the PR forward.
Quick Start
Ask the AI to address all PR review comments by pulling the threads from GitHub, categorizing each one, making minimal commits for code fixes, and replying to every thread with the exact outcome and then re-requesting review.