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Migration Guide

How to Export a Databutton Project to GitHub (Step-by-Step Guide)

A reliable, plan-independent workflow to move your Databutton app into a GitHub repository for version control.

Export Steps

If Databutton offers a direct GitHub connection in your plan, use it; the method below works regardless of plan or UI changes. It relies only on getting your code out of Databutton and on standard git — nothing that breaks when the builder's interface is updated.

1
Get your code out of Databutton

Use whichever code output Databutton gives you: download or export the project from your workspace, or copy the files from the tool's code view into a local folder. Make sure you capture the full project, not just the file currently open.

2
Create a GitHub repository

On GitHub, create a new empty repository (private is a safe default). Skip the auto-generated README, licence, and .gitignore so your first push does not conflict.

3
Initialize git locally

In the folder containing your exported code, run git init and git remote add origin <your-repo-url>.

4
Review .gitignore and secrets

Add a .gitignore that excludes dependency folders, build output, and environment files such as .env. Search the export for API keys or tokens before you commit anything.

5
Commit and push

Run git add ., git commit -m "Initial import from Databutton", then git push -u origin main.

6
Verify on GitHub

Open the repository on GitHub and confirm the files are complete, the default branch is correct, and no secrets were committed.

Why Use This Method

  • It works on any plan — it does not depend on a built-in GitHub integration being available to you.
  • It survives UI changes — AI-builder interfaces are updated frequently, but "get the code, push with git" always works.
  • You review the code before it reaches GitHub, so secrets and junk files never enter your history.

Post-Export Checklist

  • Clone the repository into a fresh folder and verify the project installs and builds outside Databutton.
  • Recreate environment variables locally from a .env.example file rather than committing real values.
  • Rotate any API keys that were ever visible in the exported code, even if you removed them before committing.
  • If your team has multiple contributors, set up branch protection rules on main.

Troubleshooting

  • Push rejected: The GitHub repo was probably created with a README. Pull with git pull origin main --allow-unrelated-histories, resolve, and push again — or recreate the repo empty.
  • Files missing after export: Compare the file tree in Databutton against your local folder and copy anything the export skipped, including config files that start with a dot.
  • Authentication error on push: Use a GitHub personal access token or the gh auth login flow instead of a password.

Next Step

Export is done. To move from prototype to production delivery with structured planning and AI implementation: See how Feature1 works.

Verification

Written on August 19, 2026. AI-builder UIs change quickly — if labels differ, follow the tool's current documentation.

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