Automate your GitHub review queue with an AI agent

How do you get through five reviews before lunch?

Hand a companion the queue and it works one PR at a time properly rather than five superficially. For each: the changed files, the commits behind them, and the step people skip, a code search across the repository for the functions being changed.

What comes back is a draft review with line comments attached to real paths. You submit it, because a review with your name on it is your judgment. Reading widely before writing is research aimed at a codebase.

Land the small change without the context switch

Bump a version in three files.

Fix the broken link in the README. Add the missing config entry. A companion creates the branch reference, commits the file contents with a real message, opens the PR with a description saying what changed and why, and requests the reviewers who own that area.

It reads the current file before rewriting it and lists branches before creating one, so it works from the repository as it exists.

What clears a queue that reordering does not?

Reconciling the PR queue against the issue tracker.

Finding out whether a change actually shipped. Checking a pull request against the linked ticket in a different product. A companion holds those tabs open at once, signed in as you.

GitHub Copilot, as of this writing, works in the editor with the buffer and the cursor. The queue, the callers and the ticket are the pass above.

Evidence in GitHub, ticket in your tracker

A companion reads the pull requests, the code and the issues, then files the follow-up where your team plans. Linear, Jira and GitLab are native integrations of their own, so the ticket arrives with the diff, the commit and the search results already in the description.

Review comments on pull requests are written here. If GitHub Issues is currently your only tracker, getting started covers connecting the one you plan in alongside it.

Frequently asked questions