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GitHub makes @GitHub in Slack and Teams generally available, with Canvas reviews in Teams

GitHub Copilot at a glance

GitHub made @GitHub in Slack and Microsoft Teams generally available on November 6, 2026. Mentioning @GitHub in a conversation starts the Copilot cloud agent to investigate bugs, create issues, implement changes and open pull requests, and Teams gains Canvas for reviewing plans and code beside the chat.

What changed with GitHub Copilot

On November 6, 2026, GitHub announced in its changelog that @GitHub in Slack and Microsoft Teams is generally available. Mentioning @GitHub in a conversation hands the work to GitHub's Copilot cloud agent: it can investigate a bug, create an issue, implement a change and open a pull request, all without the team leaving the conversation.

The release adds Canvas in Teams, where teammates review the agent's implementation plan, code changes and previews alongside the conversation, share feedback and refine the work together. Starting a session takes fewer steps: @GitHub identifies the repository from your message instead of asking you to select it again, and getting started is easier when you are not signed in, have no default repository, want to switch repositories or need app access. GitHub also fixed an issue that could prevent responses to follow-up messages, and issues and pull requests created by @GitHub carry a line saying they were created from a Slack/Teams conversation with the requesting user. The changelog lists no plans, prices or usage limits for the integration.

Why GitHub Copilot matters for businesses

Why it matters: the chat thread is where client work is already discussed, so a team can turn a bug report in Slack or Teams into an issue or a draft pull request in the same place, with a named person attached to every request. For agencies that live in a client's Slack, that shortens the path from a bug report to work a developer can review — but the attribution line matters too, because an agent opening pull requests from chat needs a clear owner before it touches a production repository.

Put it to work: AI Agents

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