pr-review-loop

Automating pull request review and merging is achieved by continuously polling for reviewer feedback, using AI agents to analyze and implement code fixes, and waiting for CI checks to pass before automatically merging the PR.

AI feedback analysis works by classifying GitHub pull request review comments into blocking, important, nit, or question categories, then generating a gap analysis to determine the necessary automated code modifications.

Yes, you need the gh CLI and git installed to automate CI/CD checks before merging a pull request, as these command-line tools are required to manage repository operations and monitor CI status.

The best way to handle blocking review comments automatically is to use specified AI agents that interpret the feedback, implement the required code fixes, and push the changes directly to the pull request branch.

Yes, you can use this automated PR workflow to wait for CI checks to pass before merging code, as it continuously monitors CI/CD pipelines and only executes the merge after all required checks are successful.

Automated pull request merging requires continuous polling for reviewer feedback to ensure the workflow captures all comments, analyzes newly submitted blocking issues, and applies code fixes before CI checks and final merging.