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Agent Hooks in VS Code let you enforce policies, run checks, and guide Copilot at key moments during a session. Instead of repeating prompts, you can program how agents behave in your workflow. Learn how hooks work and when to use them.

Visual Studio Code

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54,761 görüntüleme • 4 ay önce •via X (Twitter)

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Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇

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🙌 You can now use Claude and OpenAI’s Codex in GitHub and Visual Studio Code with your GitHub Copilot Pro+ or Copilot Enterprise subscription. Define your intent, pick an agent, and they’ll get to work clearing backlogs and bottlenecks, all within your existing workflow.

🙌 You can now use Claude and OpenAI’s Codex in GitHub and Visual Studio Code with your GitHub Copilot Pro+ or Copilot Enterprise subscription. Define your intent, pick an agent, and they’ll get to work clearing backlogs and bottlenecks, all within your existing workflow.

GitHub

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Copilot now has memory! 🧠 Any of your favorite agents on the GitHub platform (Copilot, Claude, Codex, c-c-c-combo breaker) can learn across your repo. Now in VS Code Insiders, Copilot CLI, Copilot coding agent, and Copilot code review.

Copilot now has memory! 🧠 Any of your favorite agents on the GitHub platform (Copilot, Claude, Codex, c-c-c-combo breaker) can learn across your repo. Now in VS Code Insiders, Copilot CLI, Copilot coding agent, and Copilot code review.

GitHub

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Announcing the launch of Hooks in Gemini CLI🚀🪝 Take full control and customize the agentic loop to your specific needs. Hooks allow you to add context, validate actions, enforce policies, loop the agent to continue to iterate, and a lot more! 👇Read the launch blog below

Announcing the launch of Hooks in Gemini CLI🚀🪝 Take full control and customize the agentic loop to your specific needs. Hooks allow you to add context, validate actions, enforce policies, loop the agent to continue to iterate, and a lot more! 👇Read the launch blog below

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Introducing Copilot Chronicle! This new feature in GitHub Copilot indexes all your messages and turns locally in SQLite so you can talk to your coding history and learn how you work *and* more importantly, how you can improve! Live demo ->

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New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

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GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...

GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...

Visual Studio Code

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Introducing Guardrails 2.0 in ElevenAgents. Control how agents behave in production with a redesigned safety layer. You can define and enforce custom business policies. Or, toggle on pre-built protections to keep agents on-topic, on-brand, and resistant to manipulation.

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Andrej Karpathy posted about the new programmable layer developers need to master: agents, subagents, prompts, contexts, memory, hooks, MCP. He said it came with no manual and everyone has to figure out how to hold it. This video is part of that manual. Hooks are one of the most underused features in Cursor and Droid, and they're what separate intentional AI-assisted development from hoping it works in production. After file edit: If the agent touches Rust code, hooks automatically regenerate TypeScript types for the frontend. If it touches TypeScript, ESLint runs with autofix. If it touches backend code, cargo clippy runs. On stop: When the agent finishes, it runs cargo check to validate the build before I even look at the output. 00:00 The problem: manually verifying AI-written code 00:31 Introducing hooks to automate tasks when files change 01:53 How hooks regenerate types for the frontend 02:24 How to set up the cursor.hooks.json file 04:44 Reviewing a more comprehensive hooks plan 05:48 Comparing FactoryDroid hooks vs Cursor hooks 06:45 Implementing the equivalent hooks in FactoryDroid 07:50 AI agent fixes a bug in the build command 08:27 How scaffolding makes the AI agent appear smarter 09:08 Demonstrating the successful hook implementation 09:53 Final insight: It's about providing guardrails, not a smarter AI

Andrej Karpathy posted about the new programmable layer developers need to master: agents, subagents, prompts, contexts, memory, hooks, MCP. He said it came with no manual and everyone has to figure out how to hold it. This video is part of that manual. Hooks are one of the most underused features in Cursor and Droid, and they're what separate intentional AI-assisted development from hoping it works in production. After file edit: If the agent touches Rust code, hooks automatically regenerate TypeScript types for the frontend. If it touches TypeScript, ESLint runs with autofix. If it touches backend code, cargo clippy runs. On stop: When the agent finishes, it runs cargo check to validate the build before I even look at the output. 00:00 The problem: manually verifying AI-written code 00:31 Introducing hooks to automate tasks when files change 01:53 How hooks regenerate types for the frontend 02:24 How to set up the cursor.hooks.json file 04:44 Reviewing a more comprehensive hooks plan 05:48 Comparing FactoryDroid hooks vs Cursor hooks 06:45 Implementing the equivalent hooks in FactoryDroid 07:50 AI agent fixes a bug in the build command 08:27 How scaffolding makes the AI agent appear smarter 09:08 Demonstrating the successful hook implementation 09:53 Final insight: It's about providing guardrails, not a smarter AI

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Did you know you can turn your prompts into programs in Visual Studio Code? 👀 Create executable .prompt.md files for GitHub Copilot that you can run with a single click. 🖱️ Here's how. ▶️

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GitHub

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1️⃣New Agent Mode: With agent mode in VS Code, Copilot goes beyond your initial request, completing all necessary subtasks and even inferring unspecified tasks. Agent mode allows Copilot to iterate on its own code, propose and guide terminal commands, and analyze and resolve run-time errors. Available today for VS Code Insiders 💫 (2/4)

1️⃣New Agent Mode: With agent mode in VS Code, Copilot goes beyond your initial request, completing all necessary subtasks and even inferring unspecified tasks. Agent mode allows Copilot to iterate on its own code, propose and guide terminal commands, and analyze and resolve run-time errors. Available today for VS Code Insiders 💫 (2/4)

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Announcing Agent Recipes! A site to learn about agent/workflow recipes with code examples that you can easily copy & paste into your own AI apps. I'm gonna make this the go-to resource for devs to learn about agents & how to implement them – more soon.

Announcing Agent Recipes! A site to learn about agent/workflow recipes with code examples that you can easily copy & paste into your own AI apps. I'm gonna make this the go-to resource for devs to learn about agents & how to implement them – more soon.

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Anthropic engineers finally showed how they actually use Claude Code internally 31 minutes of internal workflow that most Claude users will never see on their own here's what they cover: > how to set up project context files the right way > custom commands that save hours of repeated work > hooks that make Claude behave exactly how you need > subagents and how to actually spec them properly "your agent isn't the problem, your spec is" the people who understand how Claude Code actually works inside Anthropic are shipping things everyone else thinks requires a whole team that's exactly why I put together a breakdown of Claude features most people have never discovered you can find it below

Anthropic engineers finally showed how they actually use Claude Code internally 31 minutes of internal workflow that most Claude users will never see on their own here's what they cover: > how to set up project context files the right way > custom commands that save hours of repeated work > hooks that make Claude behave exactly how you need > subagents and how to actually spec them properly "your agent isn't the problem, your spec is" the people who understand how Claude Code actually works inside Anthropic are shipping things everyone else thinks requires a whole team that's exactly why I put together a breakdown of Claude features most people have never discovered you can find it below

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We've added a new command to Claude Code called /insights When you run it, Claude Code will read your message history from the past month. It'll summarize your projects, how you use Claude Code, and give suggestions on how to improve your workflow.

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Did you know that you can use GitHub Copilot in notebooks? Accept and run generated code with just a click. You can even attach variables from the Jupyter kernel in your requests ✨

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LangChain

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You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:

You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:

Warp

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