AI Code Review Automation with GitHub Actions

Build an AI-powered code review bot from scratch and publish it to the GitHub Marketplace. This hands-on course walks you through the complete lifecycle of creating a GitHub Action that uses Large Language Models to automatically review pull requests and provide actionable feedback on code quality. You start by exploring why automated code review matters, examining real pull requests in complex projects, and understanding the architecture of AI review pipelines built on GitHub Actions. You then define review criteria using the pmat code quality analysis tool, study existing review actions as reference implementations, and develop prompt engineering strategies that produce useful AI feedback. In the implementation phase, you apply documentation-driven development to plan your action, build it with AI assistance, add tests, and refine through local testing strategies. You deploy the action to GitHub, use it on real pull requests, and confront practical challenges of generative AI including non-deterministic responses. The course concludes with writing clear action documentation and publishing your review bot to the GitHub Marketplace for community distribution.