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GitHub documents how to open a Copilot app session in Visual Studio Code while preserving the session’s task, plan, conversation, diff, and isolated worktree. This lets developers review agent-made changes, make manual edits, run local validation, and push updates to the pull request tracked by the session without recreating the session history.
GitHub's Copilot app guide explains four ways to give Copilot project-specific context: repository custom instructions (e.g., .github/copilot-instructions.md and path-specific files), agent skills (folders under .github/skills with SKILL.md), custom agents (.github/agents), and Model Context Protocol (MCP) servers that connect Copilot to external tools and data such as Playwright. The article shows how these features can be combined so Copilot follows project conventions, loads repeatable procedures, provides specialized agent roles, and uses external services to interact with or test an application.
The GitHub Copilot app introduces 'canvases' (canvas extensions): customizable, bidirectional UI tools—kanban boards, checklists, dashboards, forms, etc.—that the Copilot agent generates and updates from a plain-English description using the /create-canvas skill. Canvases are saved as extensions for reuse and can be shared with a project or kept personal, letting agent and user interact with the same live interface.
A blog post argues that chat is often the wrong primary UI for interacting with large language models and highlights GitHub Copilot app’s 'canvas' — a full‑stack, embeddable app surface that can run locally, call APIs, and communicate bi‑directionally with the agent. The author demonstrates examples (a Connect 4 game, a Winget package manager UI, SQLite/SQL tooling) and says task‑oriented custom interfaces can reduce token waste and better automate developer workflows than a generic chat box.
GitHub migrated the Copilot agent runtime from a TypeScript/Node.js/V8 implementation to over 800,000 lines of production Rust. Most of the Rust code was authored by AI agents via the GitHub Copilot app and CLI across 128 pull requests; the migration shipped incrementally, reportedly improving runtime performance by orders of magnitude and reducing startup and memory overhead for many Microsoft/GitHub products that share the runtime via the Copilot SDK.
A GitHub Blog post provides a beginner guide to the GitHub Copilot app, showing how to view diffs, run terminal commands, and preview web apps side by side so you don’t have to switch tabs when checking agent-generated code.
GitHub published a beginner guide on the GitHub Blog showing how to run parallel agents in the GitHub Copilot app. The post aims to help users move from apprehension to productive use of multiple agents in the app.
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