Build an AI Code Review Bot with GitHub Actions

Manual code reviews can be slow and repetitive, often delaying software delivery. Automating initial feedback using artificial intelligence allows development teams to focus on complex architectural decisions rather than syntax errors and style guide violations. In this course, you will learn how to design, write, and deploy a custom GitHub Action that leverages modern AI models to automatically review pull requests. You will transition from understanding basic CI/CD concepts to publishing an automated assistant that provides constructive, context-aware code suggestions. What you'll learn: Understand the foundational architecture of GitHub Actions and CI/CD workflows; Configure secure API integrations using GitHub Secrets to protect sensitive keys; Apply basic prompt engineering principles to guide AI models in analyzing code quality and security vulnerabilities; Create a fully functional custom GitHub Action using modern JavaScript; Design robust workflows that trigger automatically on pull request events; Publish your finished automation tool to the GitHub Marketplace for others to use. This text-based course guides you step-by-step, starting with core automated workflow concepts before moving into API integration, prompt design, and practical deployment strategies. Through written explanations and code examples, you will build a solid foundation in modern DevOps automation. This course is designed for software developers, DevOps beginners, and QA engineers who want to integrate AI into their development pipelines. No prior experience with GitHub Actions or AI APIs is required, though a basic familiarity with Git and JavaScript is helpful. Start reading today to streamline your development workflow with intelligent automation.