Pull Request Description Generator

A useful description gives reviewers the intent, scope, verification evidence, and operational context that cannot be recovered safely from filenames alone. This generator derives a factual starting point from public GitHub data, then leaves product intent and rollout decisions visible for the author to complete.

The instant output is deterministic: it reads PR metadata and changed-file paths through GitHub's public API, directly from your browser. No AI model is involved, no API key is needed, and your input is not stored anywhere. When you want more, one click generates an AI draft grounded in the actual patch excerpts — it fills in what the evidence supports and leaves explicit author placeholders where only you know the answer.

The structure it produces follows the same shape we recommend for hand-written descriptions: a summary of what changed, the reasoning behind it, a concrete test plan, and a review-focus section that points reviewers at the risky parts first. Reviewers read dozens of pull requests a week; a predictable structure lowers the cost of every one of them.

The result deliberately avoids claiming that a changed path proves runtime behavior. Review and edit the generated Markdown before adding it to GitHub — especially the intent and rollout sections, which only the author can fill in truthfully.