addressReview

Automating GitHub PR review comment resolution involves reading a review state JSON file, merging new human feedback, and dispatching parallel implementation agents to address fixes. This process checks out the PR branch, streams assignments, tracks commits, and records fix metadata.

Multi-agent orchestration for PR feedback uses a triage prompt to group structured issues and human comments, then dispatches per-concern implementer agents. This allows parallel implementation of fixes on the PR branch, tracked via shared state files.

Yes, you can use multi-agent workflows to fix multiple PR review comments in parallel. The system checks out the PR branch, streams assignments to implementation agents via an implementer prompt, and tracks their commits to update the shared state file.

Synchronizing human comments with structured issues requires reading a persistent review state file in the agentic-workflow directory. This loop keeps PR context and new human comments synchronized before dispatching focused implementation agents.

No, GitHub PR review automation here depends on review state JSON files to track PR comments and resolution loops. These state files store addressed issues, agent commits, and guidance on remaining blockers for reporting and recovery.

When implementation agents encounter remaining blockers, the system updates the shared state file with addressed issues, agent commits, and guidance on remaining blockers. It then suggests another run to continue the review resolution loop.