Загрузка видео...

Не удалось загрузить видео

На главную

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.

code's profile picture

Visual Studio Code

802,205 subscribers

54,730 просмотров • 3 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🙌 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.
0:40

🙌 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

510,414 просмотров • 4 месяцев назад

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 👇
29:58

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 👇

darkzodchi

833,850 просмотров • 21 дней назад

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.
0:42

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

133,195 просмотров • 3 месяцев назад

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
0:41

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

Gemini CLI

83,154 просмотров • 4 месяцев назад

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 ->
3:43

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 ->

Scott Hanselman 🌮

61,427 просмотров • 3 месяцев назад

Install Agent Plugins in VS Code to add skills, commands, MCP servers, hooks, and more ⚡
1:21

Install Agent Plugins in VS Code to add skills, commands, MCP servers, hooks, and more ⚡

Visual Studio Code

33,797 просмотров • 1 месяц назад

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...
0:55

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

82,442 просмотров • 1 год назад

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!
2:17

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!

Andrew Ng

124,382 просмотров • 1 год назад

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.
0:29

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.

ElevenLabs

50,117 просмотров • 2 месяцев назад

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
10:20

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

Ray Fernando

60,667 просмотров • 5 месяцев назад

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. ▶️
1:24

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. ▶️

GitHub

32,395 просмотров • 8 месяцев назад

Learn how to use coding agents in 30 minutes! This course teaches you how to build software with agents: plan new features, fix bugs, review and test code, and more. It's 100% free and these concepts apply to any agent!
31:42

Learn how to use coding agents in 30 minutes! This course teaches you how to build software with agents: plan new features, fix bugs, review and test code, and more. It's 100% free and these concepts apply to any agent!

Lee Robinson

298,452 просмотров • 1 месяц назад

AI agents should work even when you sleep. With SwarmNode, you can simply describe your schedule in plain words, and your agents will run exactly when you need them to.
0:44

AI agents should work even when you sleep. With SwarmNode, you can simply describe your schedule in plain words, and your agents will run exactly when you need them to.

SwarmNode.ai

34,361 просмотров • 1 год назад

With the VS Code Speech extension + agent mode in Copilot Edits, you can iterate over your code without typing anything at all.
1:32

With the VS Code Speech extension + agent mode in Copilot Edits, you can iterate over your code without typing anything at all.

Visual Studio Code

97,774 просмотров • 1 год назад

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.
0:21

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.

Hassan

256,021 просмотров • 1 год назад

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)
3:13

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)

Thomas Dohmke

95,544 просмотров • 1 год назад

Check Run Agents, now available in Macroscope. we made a video to show you how it works! these are super flexible agents you control that let you enforce your team's coding conventions, workflows, and compliance checks during code review. just define in markdown and include trigger rules, model choice/reasoning levels, and tool access (including any 3rd party integrations and MCP servers you've already connected to macroscope)-- then the agent spawns as a Check in GitHub. we've been delighted by the creativity and complexity of what our customers have been doing with check run agents: enforcing style conventions, coordinating multistep db migration workflows, ensuring public-facing docs are updated in sync with code changes, and more.
3:53

Check Run Agents, now available in Macroscope. we made a video to show you how it works! these are super flexible agents you control that let you enforce your team's coding conventions, workflows, and compliance checks during code review. just define in markdown and include trigger rules, model choice/reasoning levels, and tool access (including any 3rd party integrations and MCP servers you've already connected to macroscope)-- then the agent spawns as a Check in GitHub. we've been delighted by the creativity and complexity of what our customers have been doing with check run agents: enforcing style conventions, coordinating multistep db migration workflows, ensuring public-facing docs are updated in sync with code changes, and more.

Kayvon Beykpour

66,382 просмотров • 1 месяц назад

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.
0:39

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.

Thariq

1,231,035 просмотров • 4 месяцев назад

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
31:22

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

Anatoli Kopadze

307,174 просмотров • 16 дней назад