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GitHub Copilot Chat GA in Slack and Teams
GitHub Changeloghigh confidence
Why it matters
- →Reduces context switching by embedding AI coding assistance directly into daily communication tools.
- →Automates repository selection in chat, lowering the friction for initiating AI-assisted coding sessions.
- →Creates an auditable trail by attributing created issues and PRs back to specific Slack/Teams conversations.
GitHub announced that @GitHub in Slack and Microsoft Teams is now generally available, expanding its conversational AI capabilities beyond GitHub's native interface. The integration allows developers to investigate bugs, create issues, and open pull requests directly within chat threads, with new features including automatic repository detection and clearer attribution for AI-generated artifacts. This move integrates Copilot Chat more deeply into enterprise communication workflows, enabling teams to transition from discussion to code implementation without switching applications.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Slack introduces collaborative vibe-coding channels
The Verge AI · August 20, 2026 · Related
- 2Slack introduces collaborative coding feature
The Rundown AI · August 21, 2026 · Same story
- 3GitHub Copilot Integrates with Slack in Public Preview
GitHub Changelog · August 21, 2026 · Same story
- 4Slack introduces AI-driven interactive reports in chats
The Verge AI · September 10, 2026 · Same story
- 5GitHub Copilot Agents Gain Slack and Teams Context
GitHub Changelog · September 25, 2026 · Same story
Follow this story
Open the full story →GitHub Copilot Memory GA and Dreaming Preview
3 developments
- Oct 28 · GitHub Changelog
GitHub Copilot Memory GA and Dreaming Preview - Nov 6 · GitHub Changelog
GitHub Copilot Chat GA in Slack and Teams (This article)↳ GitHub Copilot Chat is now GA in Slack and Teams with auto-detecting repos and direct issue creation capabilities. - Nov 6 · GitHub Changelog
GitHub Copilot Dashboard Adds Chat and Agent Metrics↳ GitHub Copilot Dashboard now tracks nine experiences including Chat and Agents, rebranding passive users to chat-first users.
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GitHub Copilot Code Review API and UI updates
GitHub is finally exposing Copilot code review configuration to the REST and GraphQL APIs, closing a major gap for enterprise automation. Administrators can now programmatically control review effort, enablement, and custom instructions across organizations and repositories, moving beyond manual web interface tweaks. The update also refines the user experience with compact overviews, explicit attribution of AI sources like MCP servers, and better handling of bot-authored PRs. This shift makes Copilot Review a first-class citizen in CI/CD pipelines rather than just a UI feature.
GitHub Changelog
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GitHub Copilot Dashboard Adds Chat and Agent Metrics
GitHub finally stops treating chat as a passive afterthought in its enterprise analytics. By adding Copilot Chat and the VS Code Agents window to the impact dashboard, the platform now tracks nine distinct experiences instead of just seven. The rebranding of 'Passive users' to 'Chat-first users' is a semantic correction that aligns metrics with actual developer behavior rather than arbitrary adoption thresholds. This gives engineering leaders a complete picture of how AI is actually being used across their codebases, closing the visibility gap between typing commands and writing code.
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Copilot expands to JetBrains Air and Xcode
GitHub Copilot is aggressively expanding its footprint beyond VS Code, landing in JetBrains Air and Xcode’s native assistant. This move signals a shift from IDE-specific plugins to a broader platform strategy, allowing developers to use their existing subscription across major ecosystems. The release also refines agent workflows with direct PR merging and remote preview capabilities, reducing context-switching for complex tasks. While the core AI engine remains unchanged, the integration depth in Xcode and JetBrains marks a significant step toward universal coding assistance.
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llama.cpp b12173 adds OpenCL repeat ops
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llama.cpp b12174 adds ROCm 10 and CUDA 13
This release quietly closes the hardware gap for non-NVIDIA users by adding default support for ROCm 10.0 on both Linux and Windows, allowing AMD GPU owners to run local models without complex configuration. It also brings CUDA 13.5 builds to Ubuntu and Windows, future-proofing the toolchain for newer NVIDIA architectures while maintaining backward compatibility with CUDA 12. Apple Silicon KleidiAI is disabled in this build, a notable regression for Mac users who rely on that specific optimization. The update solidifies llama.cpp's position as the most versatile inference runtime available, covering everything from Snapdragon NPUs to Intel Arc via SYCL.
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