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The GitHub Copilot app introduces the canvas feature, a full-stack mini-app that runs inside the app without a browser shell and can communicate bidirectionally with the Copilot agent. A canvas can call third-party APIs and execute code locally, for example managing local packages through a Winget interface or directly operating a SQLite database, thereby avoiding handing every interaction to the chat agent and wasting tokens. The author argues that chat is merely AI's general-purpose fallback i

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The GitHub Copilot app rebuilt the Pull Request view to handle extremely large diffs and comments. The team validated it with an open-source PR containing 2,200 files, over 1 million lines of changes, and more than 400 inline comments: code lines use a virtualized geometry where "all heights are known before drawing," while comments are split into independent dynamic block geometry with bounded heights and deferred measurement, and corrections are anchored only to the position the user is curren

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The latest episode of the GitHub Podcast breaks down five hot AI claims: AI-generated code still needs to be read and owned, but the intensity of review should be risk-tiered; Skills and MCP solve different problems—the former is packaged expert knowledge, the latter is a standard for connecting tools and data; RAG is not dead—retrieval brings models closer to the answer and reduces token waste. The episode also discusses judging AI usage in hiring, and the relationship between fine-tuned models

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