System Design for AI Agents – Building a Multi-Agent PR Reviewer

Описание: 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/ge...

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

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