AI Coding Live News

GitHub Copilot Dynamic Workflows public preview: code-defined multi-agent orchestration across CLI, app, and SDK

GitHub’s 2026-10-01 Changelog launched Dynamic Workflows in public preview for Copilot CLI, the Copilot app, and the SDK: code-defined reusable orchestration (sequential/parallel steps, pause checkpoints, subagent cross-checks)—unlike Autopilot or /fleet, where Copilot invents the plan each run. CLI needs --experimental or /experimental on; available on all Copilot plans.

Key Takeaways

  • Anchors: Oct 1 Changelog + docs concepts + how-to pages linked above
  • Code defines steps/conditions/handoffs; agents handle judgment. Distinct from Autopilot and /fleet
  • Surfaces: CLI workflow run + /workflows; App Workflows button; SDK/extension canvases; share via personal or repo extensions
  • Limits: max concurrent/total subagents, timeoutSeconds, approx maxAiCredits; prompt > workflow code > personal defaults
  • Public preview; CLI experimental flag; no published agent-bench deltas—don’t conflate with HydraFusion or Computer Use
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Microsoft: frontier models power Copilot Autopilots; Project Opal runs multi-hour jobs on Windows 365

Microsoft CEO Satya Nadella says new frontier models are being brought into Copilot so it can move from Q&A and delegated tasks to completing long-running Autopilot jobs over hours or days. Example: an Opal-powered Autopilot on a secure Windows 365 Cloud PC processes a month of trail-cam footage, finding animals, building highlight reels, labeling camera/date/species, cataloging in a spreadsheet, drafting a PowerPoint, and sharing in Teams.

Key Takeaways

  • Capability: Copilot Autopilots own multi-hour/day end-to-end jobs, not just assistive Q&A.
  • Runtime: Project Opal Autopilot runs on secure Windows 365 Cloud PCs.
  • Demo: trail-cam pipeline covers find, reel, label, spreadsheet, PowerPoint, and Teams share.
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GitHub Copilot App weekly: /goal for local autopilot, MCP deep-link install, Power BI MCP

GitHub Copilot App weekly recap (Aug 29–Sep 5): 1 release and 237 improvements. Highlights include /goal for persistent autopilot objectives in local sessions, MCP install via deep link with a prefilled review form, Power BI MCP in the catalog (hosted remote and local), and configurable reasoning effort for code-review agents. Notes: github.com/github/app/releases.

Key Takeaways

  • /goal sets persistent objectives for local autopilot sessions.
  • Install MCP servers via deep link with a prefilled confirmation form.
  • Power BI MCP joins the catalog; code-review agents can set reasoning effort.
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