Build a Code Review AI Agent with LangGraph | Review GitHub PRs Automatically

Want to automate GitHub Pull Request (PR) reviews using AI? 🚀 In this step-by-step tutorial, you'll learn how to build a Code Review AI Agent with LangGraph that reads a GitHub Pull Request, analyzes code changes, and generates meaningful review feedback automatically. You'll learn: ✔️ How a code review AI agent works ✔️ Connecting LangGraph with GitHub Pull Requests ✔️ Reading and analyzing PR diffs ✔️ Using LLMs to detect bugs, code smells, and improvements ✔️ Building multi-step review workflows with LangGraph ✔️ Automating developer feedback and review comments ✔️ Best practices for AI-assisted code reviews Perfect for software engineers, AI engineers, ML engineers, DevOps engineers, and developers looking to automate their development workflow with AI agents. By the end of this tutorial, you'll have a working AI-powered code review agent that can review GitHub PRs and provide intelligent feedback before human reviewers step in. 🔗 Connect With Me & Resources 💬 Discord Community: https://discord.gg/NymgnUrP 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan 🌐 Website: https://pavithravbhuvan.com/ 📁 GitHub Community Files: https://github.com/pavithra20august/pavithraspodcast-files