System Design for AI Agents – Building a Multi-Agent PR Reviewer
Learn how to design and build a production-ready, multi-agent AI system that automates pull request reviews with senior-level engineering judgment. This comprehensive tutorial covers everything from fault-tolerant system architecture and database modeling to utilizing the Genesis kit for reliable, AI-native development. Code: https://github.com/ayush488-glitch/genesis-kit Course created by @AyushSinghSh ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Chapters ⭐️ - 0:00:00 Introduction: Building a Production-Ready AI PR Review Agent - 0:06:35 The System Design Lens & Mapping the Mess - 0:19:12 Addressing AI Failure Modes & Reliability Engineering - 0:33:04 Part 1: First Principles & Reclaiming Senior Engineer Attention - 0:42:44 The Four Mindsets of a Reviewer (Security, Quality, Testing, Docs) - 0:54:08 Implementing the Agentic Fan-Out and Fan-In Pattern - 1:00:08 Part 2: Data Engineering & Memory Shapes - 1:17:23 Database Selection - 1:28:32 Part 3: System Architecture Assembly - 1:38:48 Orchestration Engine Selection: LangGraph vs. Temporal - 1:52:15 Part 4: Implementation Using the Genesis Kit - 2:03:40 Running Milestones and Independent AI Code Verification 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news