AI Agents That Never Forget Code Changes

⚡ Master AI with me and become a high-paid AI Engineer: https://aiengineer.community/join FREE roadmap to build real AI systems: https://zenvanriel.nl/ai-roadmap Prompt reference: https://github.com/AI-Engineer-Skool/prompt-vault/tree/main/claude-md-memory-workflow What You'll Learn: How to create automated GitHub Actions workflows that keep your AI agents up-to-date with code changes Why outdated documentation causes AI coding assistants to fail and how to fix it automatically The importance of using Claude Code with your Pro subscription to save on API costs Real-world demonstration of building a self-updating documentation system How to configure weekly automated reviews that catch codebase drift before it becomes a problem Timestamps: 0:00 The problem with AI agents losing track of your codebase 2:02 Setting up the test repository and identifying outdated documentation 8:24 Testing and fixing the workflow permissions 11:42 Proving the AI has better memory Why did I create this video? Most developers struggle with AI coding assistants that get confused as codebases evolve. Here I show you how to build an automated system that keeps your claude.md file perfectly synchronized with your actual code structure. By having Claude review its own documentation weekly, you'll maintain peak AI productivity even as your project grows and changes. This is how senior engineers actually maintain AI-augmented workflows at scale. My AI engineering resources: https://zenvanriel.nl/ Also see: https://docs.anthropic.com/en/docs/claude-code/github-actions Connect with me: https://www.linkedin.com/in/zen-van-riel https://www.skool.com/ai-engineer