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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.

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.

Recommended Tools

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.

Claude
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.

GitHub Copilot
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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.

Claude
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.

Cursor
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.

Cursor
Claude
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