8 min readUpdated September 22, 2026
How GitHub works with AI coding tools
Repositories, commits, branches and pull requests — what they are, and what changes when an AI tool is the one writing the commits.
GitHub
GitHub hosts code repositories and their change history. Learn how commits, branches and deployment connections work when an AI tool changes your app.
Where should I start with github?
Start with the guide that matches your question or the error you can see. Each guide below names the problem, gives checks you can run, and links to related reading.
What should you inspect in an AI-generated commit?
Read the diff as a set of decisions. If the request was to rename a button, a new access policy or dependency deserves a separate explanation. In an illustrative review, the button label is correct but an unrelated file removes an ownership check. The visual result is not enough to approve the change.
- 1Compare the changed files with the requested scope.
- 2Review configuration, migrations and dependency changes separately from presentation edits.
- 3Run the relevant checks before approving a commit or release.
Why is a commit not proof of deployment?
A commit records source changes. A connected host may still be building, may reject the build or may deploy a different branch. Compare the revision served by the host with the commit you intended to release. Keep a known working revision and a rollback procedure; code rollback does not automatically reverse a database migration.
Read the github guides
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