Automate Code Review and PR Feedback
Set up an automated code review pipeline that catches issues, enforces style, and summarizes changes before a human reviewer ever opens the PR.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Define Your Review Standards
Write a code review guide covering what your team cares about most: security patterns, performance anti-patterns, naming conventions, and test requirements. This becomes your AI reviewer's context.
Step 2
Set Up the GitHub Actions Workflow
Use GitHub Copilot to scaffold a GitHub Actions YAML that triggers on pull_request events and calls the Claude or OpenAI API with the diff and your review guide.
Step 3
Write the Review Prompt
Craft a structured prompt in Claude that takes a git diff and returns: critical issues, warnings, style suggestions, and a 2-sentence plain-English summary of what changed.
Step 4
Post Review Comments via API
Extend the workflow to post the AI review output as a PR comment using the GitHub API. Use Cursor to write the API integration code.
Step 5
Test on Real PRs
Open 3–5 test PRs with intentional issues and refine the prompt until the feedback matches what your best human reviewer would say.
Time Required
3–5 hrs setup, then automated
Expected Result
A GitHub Actions workflow that automatically reviews every PR with AI feedback, style checks, and a plain-English summary of changes.
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