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Aktualizace GitHub Copilot pro týmy Slack a Microsoft

GitHub Copilot ve Slacku a Microsoft Teams vám nyní poskytuje více kontextu, více kontroly a jasnější cestu od konverzace k práci GitHub.

4 min readRead the primary source
Source-provided image accompanying GitHub Copilot updates for Slack and Microsoft Teams
Primární zdrojový dokumentZdroj zaznamenán
Vydavatel
github.blog
Odkaz na zdroj
github.bloghttps://github.blog/changelog/2026-09-25-updates-to-github-copilot-for-slack-and-microsoft-teams
Typ zdroje
Primární dokument — oficiální oznámení, papír, podání nebo stránka první strany, kterou čteme přímo.
KontextPochopte to za 60 sekund

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Co se stalo

GitHub Copilot has been updated to provide more context, control, and a clearer path from conversation to GitHub work in Slack and Microsoft Teams. The update allows Copilot to use more of the context already in the conversation, including supported Slack files, attachments, and message links, as well as inline images, forwarded-message context, and channel and thread history in Teams. Copilot also checks for similar issues before creating a new one, includes direct links to the resulting work, and keeps a link back to the originating conversation so the context remains easy to trace. Additionally, users can switch models for the next message and keep that choice throughout the conversation, and set default owners and repositories in Slack.

GitHub Copilot now uses more of the context already in the conversation, including supported Slack files, attachments, and message links, as well as inline images, forwarded-message context, and channel and thread history in Teams.

Copilot checks for similar issues before creating a new one, includes direct links to the resulting work, and keeps a link back to the originating conversation so the context remains easy to trace.

Users can switch models for the next message and keep that choice throughout the conversation, and set default owners and repositories in Slack.

Copilot has improved handling of longer-running tasks, including clearer implementation-plan status, better handling of interrupted or stale replies, and more predictable reconnection behavior when a conversation goes idle.

In Microsoft Teams, Copilot now more reliably retains channel-thread history, avoids duplicate answers, correctly handles Teams-converted images, and works more consistently with user-owned repositories and large channels.

Podrobnosti o zdroji: github.blog ↗

Proč na tom záleží

The update to GitHub Copilot provides more accurate and efficient coding experiences for developers using Slack and Microsoft Teams. It allows for more context to be used in conversations, making it easier for teams to see the context behind a decision. The update also includes improved handling of longer-running tasks, clearer implementation-plan status, and more predictable reconnection behavior when a conversation goes idle. This will make it easier for developers to work together and manage their projects more effectively.

The update to GitHub Copilot provides more accurate and efficient coding experiences for developers using Slack and Microsoft Teams.

It allows for more context to be used in conversations, making it easier for teams to see the context behind a decision.

The update includes improved handling of longer-running tasks, clearer implementation-plan status, and more predictable reconnection behavior when a conversation goes idle.

This will make it easier for developers to work together and manage their projects more effectively.

The update also includes more accurate messages when a task stalls, a connection is interrupted, or access settings prevent work from continuing.

Interactive Mechanism

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Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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Na co se dále dívat

The public preview of the updated GitHub Copilot is available to organizations on GitHub Copilot Business and GitHub Copilot Enterprise plans. Usage counts against existing Copilot entitlements and can be managed with existing Copilot cloud agent budgets. Some capabilities are rolling out gradually and may not yet be available in every workspace.

The public preview of the updated GitHub Copilot is available to organizations on GitHub Copilot Business and GitHub Copilot Enterprise plans.

Usage counts against existing Copilot entitlements and can be managed with existing Copilot cloud agent budgets.

Some capabilities are rolling out gradually and may not yet be available in every workspace.

Link your GitHub account and mention @GitHub in a conversation to set up Copilot.

For setup details and supported workflows, see how to use Copilot coding agent with Slack or integrate GitHub Copilot cloud agent with Microsoft Teams.

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