GitHub Integration with Muse AI at Meta

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GitHub 🤝 Muse AI at Meta A new way to connect your GitHub account to review PRs, catch up on issues and notifications, and leave comments without switching tabs.

  • Muse mascot dressed in GitHub sweatshirt and hat

I typed one sentence in the chat and blew through 20% of my tokens already using it once today

Post the other picture. You know the one.

I got to give this a try , sounds exiting

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The leave comments part is the one to think through. A connected assistant posts as you, so whatever it drafts lands under your name in the PR history. Check which repos the grant covers under Settings > Applications. If it connects as an OAuth app and your org has access restrictions on, an owner has to approve it before org repos show up.

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The most useful part of an AI coding workflow is often the context it can surface before you start making changes. Connecting repository review and catch-up in one place could make that first pass much more focused, especially when teams are juggling pull requests and limited attention.

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Reviewing PRs and tracking notifications straight from an integrated workspace removes the friction of context-switching between tools.

Reducing context switching can make developer workflows much more efficient. Bringing PR reviews, issues, and notifications closer to the coding workflow is useful when it saves time without adding another interface to manage.

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GitHub Michał Piszczek's OAuth-scope question below is the one that actually matters here - a chat assistant that can leave PR comments and catch you up on issues is convenient, but the security model behind "read-only, or can it approve too" determines whether this is a productivity tool or a new attack surface into your CI pipeline. Is Muse's GitHub write scope configurable per-repo, or is it an all-or-nothing grant once connected?

A useful step toward making AI-assisted development more seamless by bringing code reviews, issues, and collaboration into one workflow.

The most valuable engineering time is often lost not in coding, but in moving between tools, notifications, reviews, and conversations. If AI can become a trusted layer across those workflows, the impact could be much larger than a simple integration announcement suggests.

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