✅ Quick Summary

Push44 creates real Git commits from your AI platform projects. Each time you export, a commit is created capturing the exact state of every file. Over time, you get a timeline showing the complete evolution of your AI-built app.

The Problem

AI platforms generate code constantly. Every prompt changes files, sometimes in unexpected ways. Without version control, you have no way to compare what changed, undo a bad generation, or understand how your project evolved over time. You're flying blind.

How Push44 Solves It

Push44 creates real Git commits from your AI platform projects. Each time you export, a commit is created capturing the exact state of every file. Over time, you get a timeline showing the complete evolution of your AI-built app.

Step-by-Step Guide

1

Understand the Push44 export model

Push44 works by reading your complete project from the AI platform's API and pushing to GitHub using the Git Tree API. Each push creates one commit. The commit delta shows exactly what changed since your last push.

2

Establish your first baseline commit

Before your next AI generation session, do your first Push44 export. This baseline commit becomes the 'before' state. After you run AI generations, export again — the diff shows exactly what the AI changed.

💡 Pro Tip
This 'before/after AI generation' commit pattern is extremely useful for understanding what AI modifications actually did to your codebase.
3

Use Git branches for experiments

When trying a major new direction in your AI app, create a new GitHub branch before your first push to that branch. Name it descriptively (e.g., 'experiment-new-ui', 'try-dark-mode'). If the experiment fails, you still have the main branch intact.

4

Write meaningful commit context

Push44 creates commits with the file diff. Use your GitHub repo's description or a CHANGELOG.md file to document what each session's changes represent. Future you will appreciate the context.

5

Use GitHub's comparison tools

On GitHub, you can compare any two commits by modifying the URL: github.com/username/repo/compare/abc123..def456. This shows every line that changed between the two AI generation sessions.

Pro Tips

  • Export before AND after major AI prompts to get precise before/after diffs.
  • Git blame in GitHub shows which commit introduced each line — useful for debugging AI-generated code.
  • GitHub's 'Releases' feature lets you mark important milestones (v1.0, first-demo) in your project history.
  • Use branch protection rules in GitHub to prevent accidental force-pushes to your main branch.

Common Mistakes to Avoid

⚠️ Watch Out For
  • Waiting weeks between exports — this creates massive commits that are hard to understand or roll back from.
  • Using generic branch names like 'test' or 'backup' — be specific about what you're branching for.

Ready to Export?

Push44 is free, open source, and takes under 2 minutes to set up.

Start Exporting Now → View on GitHub

Frequently Asked Questions

Can I use standard Git commands with my Push44 exports?
Yes. Once your code is in GitHub, it's standard Git. You can clone it, create branches, merge, cherry-pick, rebase — all standard Git operations work.
Does Push44 support Git submodules?
No. Push44 creates flat file trees in your repository. If your AI project generates submodule references, they're pushed as regular files.
Can I set up CI/CD from Push44 exports?
Yes. GitHub Actions triggers on every push, including pushes from Push44. You can run tests, deployments, or any automation on every export.
What's the difference between Push44 exports and a real git commit?
From GitHub's perspective, there's no difference. Push44 uses the GitHub Git Tree API to create proper commits with parents, trees, and blobs — exactly as if a developer had run 'git add . && git commit && git push'.