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A recent Air release added support for custom agents through Agent Client Protocol. Here’s how to configure GitHub Copilot as a custom agent in Air:

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JetBrains Air

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687,840 просмотров • 13 дней назад •via X (Twitter)

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Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:
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Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

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How do you get GitHub Copilot to understand your entire codebase? Like this.👇 With one click, the Copilot coding agent can now analyze your repo and auto-generate custom instructions.
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How do you get GitHub Copilot to understand your entire codebase? Like this.👇 With one click, the Copilot coding agent can now analyze your repo and auto-generate custom instructions.

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Set up your new GitHub Copilot agent for success! 🚀 This video will show you how to: ✅ Define clear, well-scoped issues. ⚙️ Utilize Copilot custom instructions effectively. 💻 Ensure a proper development environment setup. 🔗 Grant tool access via the Model Context Protocol (MCP). Watch and then head over to Docs for more tips! 👇
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Set up your new GitHub Copilot agent for success! 🚀 This video will show you how to: ✅ Define clear, well-scoped issues. ⚙️ Utilize Copilot custom instructions effectively. 💻 Ensure a proper development environment setup. 🔗 Grant tool access via the Model Context Protocol (MCP). Watch and then head over to Docs for more tips! 👇

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Create dynamic and interactive Agent UI experiences in the Gemini Enterprise app. With support for the Agent-to-UI protocol (A2UI), custom agents can dynamically generate rich, native UI components directly within the Gemini Enterprise app.
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Thanks to ACP (the Agent Client Protocol), JetBrains IDEs are now a fully open platform for agentic development. Junie, Claude Agent, Codex - take your pick. And Cursor, GitHub Copilot, and many more can be installed via the ACP Registry.
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Thanks to ACP (the Agent Client Protocol), JetBrains IDEs are now a fully open platform for agentic development. Junie, Claude Agent, Codex - take your pick. And Cursor, GitHub Copilot, and many more can be installed via the ACP Registry.

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A new Air release is out From now on: add your favorite agents like Github Copilot, Opencode, and 17 others, and run local models through the ACP. With this release Air also gets Java language support, powered by IntelliJ IDEA code engine. Let us guide you through it🧵
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Antigravity has been getting some upgrades 🧑‍🚀 You can now define custom agents (and subagents) as markdown files with YAML frontmatter. I've been waiting for this! In Antigravity CLI you can use the --agent flag to launch with a custom agent instead of the default.

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My favorite new feature in the GitHub Copilot App: Canvases. Agent-created, agent-driven apps. Copilot has a built-in skill for creating and editing them. They hot reload in real time. They can talk to your agent, and your agent can talk back. Hyper-personalization is here.

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Tired of manually updating slide decks? 👀 Watch how to build a custom agent that: 🔍 Researches the latest SDK docs 🎨 "Sees" your previous slides to match the style ✨ Streams new slides directly into PowerPoint All powered by the GitHub Copilot SDK. Start building. 👇
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During the #MicrosoftBuild keynote, Cassidy took the stage to demo the new GitHub Copilot app, showing how agents, multi-model reviews, custom UI canvases, and enterprise-ready deployment through Rayfin come together in one workflow.
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During the #MicrosoftBuild keynote, Cassidy took the stage to demo the new GitHub Copilot app, showing how agents, multi-model reviews, custom UI canvases, and enterprise-ready deployment through Rayfin come together in one workflow.

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🚀 The team at Google just released the Agents API, a service for building and running custom agents inside a sandboxed Linux environment, and we built a template that gives these agents access to LlamaParse / LiteParse, enabling them to process unstructured documents automatically 📄⚡ Here’s how it works: 🔹 Configure a Git repository where data and outputs will be stored 🔹 Clone the repository into the agent sandbox 🔹 Install the LiteParse CLI, the LlamaParse SDK, and agent skills to use both 🔹 Prompt the agent with a task and watch it process documents autonomously 🤖 The result? An agent that can work directly with messy, real-world documents using LlamaParse and LiteParse within Google’s new agent runtime. Check out the GitHub repository: Get started with LlamaParse:

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