AI-powered code generation tools, like AI chatbots and agents, can be powerful assets in development. However, they sometimes lead to unpredictable results. If you’ve ever hit a “pit of death”—where your AI-generated code has become a tangled mess—you know how frustrating it can be.

A simple solution? Use Git as SCM (Source Code Management).

Benefits of Using Git for AI-Generated Code

1. Regular Commits Help You Revert Easily

AI-generated code isn’t always perfect. With Git, you can:

• Commit often to keep track of working versions.
• Revert to an earlier commit when things go sideways.

git commit -am "Working version before AI refactor"
git reset --hard HEAD~1  # Revert to the previous commit

2. Branching Lets You Experiment Safely

Need to try different AI-generated solutions? Use Git branches:

• Create a new branch before making major changes.
• Test AI-generated code in an isolated environment.
• Merge back if it works, or delete the branch if it doesn’t.

git checkout -b ai-experiment
git commit -am "Testing AI-generated refactor"
git checkout main
git merge ai-experiment  # If it works
git branch -D ai-experiment  # If it fails

3. Track AI Failures and Learn from Them

With Git, you can:

• Compare AI-generated code with human-written code.
• Identify patterns in AI failures.
• Log changes in commit messages to refine future AI interactions.

4. Recovering from “Pit of Death”

If your AI-generated code sends you into chaos, Git provides a way out:

• Revert to a stable commit.
• Branch off and try a different AI-generated solution.
• Or just fix it yourself without losing previous progress.

Want to understand the pitfalls of AI-generated code in more detail? Watch this YouTube video explaining the “pit of death”:

Final Thoughts

AI-generated code is a great tool—but without Git, you’re taking unnecessary risks. Regular commits, branching, and reverting can save hours/days of frustration.

What’s your experience with AI-generated code and Git? Comment below!