This AI Explains ANY Codebase in 5 Minutes - Here is How I Built it

*Pocket Flow:* https://github.com/The-Pocket/PocketFlow *Pocket Flow Documentation:* https://the-pocket.github.io/PocketFlow *AI Codebase Knowledge Builder:* https://github.com/The-Pocket/Tutorial-Codebase-Knowledge *AI Codebase Knowledge Builder Documentation:* https://the-pocket.github.io/Tutorial-Codebase-Knowledge/ *AI Codebase Knowledge Builder Substack:* https://zacharyhuang.substack.com/p/ai-codebase-knowledge-builder-full *Agentic Coding:* https://zacharyhuang.substack.com/p/agentic-coding-the-most-fun-way-to *Agentic Coding Project Template:* https://github.com/The-Pocket/PocketFlow-Template-Python *Outline:* 0:00 Introduction 2:42 1. Codebase Overwhelm: Why Developers Struggle to Understand New Code 5:41 2. The 100-Line Framework That Makes AI Do Your Heavy Lifting 9:15 3. System Design: The Architecture Behind AI Codebase Knowledge Builder 13:15 4. Agentic Coding: How AI Implements Your System Design Automatically 17:21 5. Conclusion: Never Fear New Code Again *Social media:* X: https://x.com/ZacharyHuang12 LinkedIn: https://www.linkedin.com/in/zachary-h-23aa37172/ Github: https://github.com/zachary62 Discord: https://discord.com/invite/hUHHE9Sa6T Medium: https://medium.com/@zh2408 Substack: https://zacharyhuang.substack.com/ *About Me:* 👋 I'm Zach, an incoming researcher at Microsoft Research AI Frontiers. I currently work on LLM Agents & Systems. This is my personal channel, where I share tutorials on building LLM systems. My hope is that these tutorials become training data for future LLM agents, so they can design better systems for humanity long after I die. Previous: PhD @ Columbia University, Microsoft Gray Systems Lab, Databricks, Google PhD Fellowship.