⚡ Master AI with me and become a high-paid AI Engineer: FREE roadmap to build real AI systems: Showcased demo app: Git install: This tutorial shows you the essential Git workflow every AI developer needs to survive. When AI-generated code breaks production, you need to know how to recover fast. What You'll Learn: - How to use Git version control to rollback broken AI code in seconds - The AI-native approach to creating logical Git commits automatically - Why small, frequent commits save you from losing hours of work - How to let AI tools find and revert bugs in your Git history - Real demonstration: Breaking and fixing production code with Git Timestamps: 0:00 Fix AI breaking production 1:22 Setting up the Git repo 4:17 Using Claude Code to create logical Git commits 8:05 Adding a new feature with Git commit 10:22 Context engineering with Git 13:55 Intentionally breaking production with a bug 15:25 AI finds and reverts the broken commit Tools Used: Claude Code (works with any AI: Codex, GitHub Copilot, Codeium) Git version control Visual Studio Code Demo auction application (Python/Java) No more losing hours of AI-generated code. No more panic when things break. Just simple Git commands that give you complete control over your codebase. Key Git Commands for AI Development: git init - Initialize version control git status - Track AI code changes git add - Stage files for commits git commit - Create code snapshots git log - View project history git revert - Undo broken changes git branch - Work on features safely git checkout - Switch between versions Connect with me: