16 × AIAI signal, amplified
AI newsTopicsAboutSources
TelegramFollow on Telegram
AI newsTopicsAboutSources
16 × AIAI signal, amplified

An AI news engine that ingests trusted sources, scores with Claude, and posts only what clears the bar.

Follow on Telegram →

Subscribe

  • Telegram
  • RSS
  • All channels

Newsletter

Used only to send this newsletter. Privacy

Legal

  • Privacy
  • Imprint
© 2026 16 × AI. All rights reserved.A new issue every two days.
Home/Coding Tools
Coding Tools

GitHub Copilot Projects and Computer Use go public

GitHub Changelog·October 28, 2026·high confidence

Why it matters

  • →Projects solve the fragmentation problem by keeping context across repos, Slack, and Figma in one persistent workspace.
  • →Computer Use allows agents to interact with legacy desktop apps that lack APIs or MCP integrations.
  • →The shift from ephemeral chat to persistent projects marks a move toward autonomous workflow orchestration.
GitHub Copilot Projects and Computer Use go public
©GitHub Changelog

GitHub has released public previews for two major features within its Copilot app: Projects and Computer Use. Projects provide a persistent workspace to coordinate work across multiple repositories, design tools like Figma, and communication platforms like Slack, allowing agents to manage complex, multi-step tasks rather than isolated code snippets. Simultaneously, the Computer Use feature enables Copilot to interact with desktop applications on macOS and Windows, performing actions such as clicking controls and entering text in apps lacking native APIs or MCP integrations. Both features require explicit user approval for actions and offer organizational controls to disable Computer Use if needed.

Read original

The 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.

GitHub Copilot adds desktop computer use — GitHub Changelog1GitHub Copilot adds session continuity and computer use — GitHub Changelog2GitHub Copilot Projects and Computer Use go publicOct 1You are here

How we got here

  1. 1
    GitHub Copilot adds desktop computer use

    GitHub Changelog · October 1, 2026 · Same story

  2. 2
    GitHub Copilot adds session continuity and computer use

    GitHub Changelog · October 28, 2026 · Same story

Follow this story

Open the full story →

GitHub Copilot adds inline image generation

2 developments

  1. Oct 28 · GitHub Changelog
    GitHub Copilot adds inline image generation
  2. Oct 28 · GitHub Changelog
    GitHub Copilot Projects and Computer Use go public (This article)↳ GitHub launches Projects for persistent multi-repo work and public Computer Use to control desktop apps directly.

More in Coding Tools

Coding Toolscoding

Claude Code v2.1.316: Subagents and Gateway Budgets

Anthropic is tightening control over Claude Code's autonomous behavior with new environment variables that let you disable 'ultrathink' or cap subagent effort levels. For teams, the introduction of pooled group budgets on the gateway allows shared monthly spending limits across members, a practical fix for enterprise cost management. The release also patches critical bugs where shell commands would hang or crash on exit, stabilizing the developer experience significantly.

Claude Code Releases·Nov 1, 2026
Coding Toolscoding

llama.cpp b12022 adds ROCm 10 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.

llama.cpp Releases·Nov 1, 2026
Coding Toolscoding

llama.cpp b12023 fixes shared prefix bug

This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.

llama.cpp Releases·Nov 1, 2026