The Git Workflow That Fixes Broken Code
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Git install: https://git-scm.com/downloads
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:
/ zen-van-riel
https://www.skool.com/ai-engineer