Загрузка видео...

Не удалось загрузить видео

На главную

🚀 Better prompts. Smarter agents. More control. The latest Visual Studio Code release introduces the Chat Customizations Evaluation extension, designed to help analyze and refine your prompts, agents, instructions, and skills.

code's profile picture

Visual Studio Code

814,215 subscribers

114,901 просмотров • 4 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚀 Build and test web apps right in the browser with Visual Studio Code! Pages can now request camera, location, and device access with per-site approval prompts. The Agents window (Preview) also introduces guided onboarding tours to help you get started faster.
0:52

🚀 Build and test web apps right in the browser with Visual Studio Code! Pages can now request camera, location, and device access with per-site approval prompts. The Agents window (Preview) also introduces guided onboarding tours to help you get started faster.

Visual Studio Code

78,152 просмотров • 2 месяцев назад

Agents, for real work. The latest Visual Studio Code release gives you better agent orchestration, extensibility, and continuity. Here's what's new: 🪝 Hooks support 🎯 Message steering and queueing 🌐 Agentic integrated browser 🧠 Shared memory And more...
0:59

Agents, for real work. The latest Visual Studio Code release gives you better agent orchestration, extensibility, and continuity. Here's what's new: 🪝 Hooks support 🎯 Message steering and queueing 🌐 Agentic integrated browser 🧠 Shared memory And more...

Visual Studio Code

255,429 просмотров • 6 месяцев назад

You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...
1:09

You told us you’re running multiple AI agents and wanted a better UX. We listened and shipped it! Here’s what’s new in the latest Visual Studio Code release: 🗂️ Unified agent sessions workspace for local, background, and cloud agents 💻 Claude and Codex support for local and cloud agents 🔀 Parallel subagents 🌐 Integrated browser And more...

Visual Studio Code

588,412 просмотров • 7 месяцев назад

Rovo agents just got smarter with MCP skills. 🚀 Now you can level up your agents in Rovo Studio with skills from @Canva, @Figma, Box, and more. Have them pull metrics, create assets, and generate code—so you can focus on what’s next:
0:36

Rovo agents just got smarter with MCP skills. 🚀 Now you can level up your agents in Rovo Studio with skills from @Canva, @Figma, Box, and more. Have them pull metrics, create assets, and generate code—so you can focus on what’s next:

Atlassian

13,863 просмотров • 6 месяцев назад

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →
1:09

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →

Google Cloud Tech

22,545 просмотров • 4 месяцев назад

The biggest Claude Code hack nobody talks about: Meta-prompts Basically you use AI to create prompts, skills, commands or agents → AI prompting AI → Saves me hours every week Example: a skill that creates skills See the exact prompt below:
1:07

The biggest Claude Code hack nobody talks about: Meta-prompts Basically you use AI to create prompts, skills, commands or agents → AI prompting AI → Saves me hours every week Example: a skill that creates skills See the exact prompt below:

Melvyn • Builder

76,360 просмотров • 7 месяцев назад

I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!
0:26

I'm DYING for the next Visual Studio Code insiders release to come out already! Plugin support finally coming to Visual Studio Code with ability to contribute skills, commands, prompts, and MCP server definitions Supports Claude code and Copilot CLI style registries FYI - this is still an initial support lacking full on install command Thanks Connor Peet for brining us MCP and MCP apps and now this!!!

Oren Melamed

11,744 просмотров • 6 месяцев назад

If your agents are hitting roadblocks on long-running tasks, MPP can help unblock ambitious prompts by enabling agents to easily pay for services and get back to the task at hand. Hear more from Georgios Konstantopoulos at MPP IRL:
0:41

If your agents are hitting roadblocks on long-running tasks, MPP can help unblock ambitious prompts by enabling agents to easily pay for services and get back to the task at hand. Hear more from Georgios Konstantopoulos at MPP IRL:

Tempo

11,593 просмотров • 1 месяц назад

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:
0:26

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

Visual Studio Code

55,202 просмотров • 5 месяцев назад

Did you see the latest Visual Studio Code release? 👀 ✨ Preview videos in the image carousel 📋 Copy chat responses into markdown 🔍 Troubleshoot chat problems ⚡ Updated #codebase command ...and more! See what's new →
2:11

Did you see the latest Visual Studio Code release? 👀 ✨ Preview videos in the image carousel 📋 Copy chat responses into markdown 🔍 Troubleshoot chat problems ⚡ Updated #codebase command ...and more! See what's new →

Visual Studio Code

86,153 просмотров • 5 месяцев назад

Meet the Agent Editor: create and customize agents entirely from the UI or with a single slash command. Prompts, models, tools, MCPs, Skills policy, avatars. Easy mode to start, Advanced mode for control. Agent Zero v2.9 is out, here to simplify how you build custom agents.
0:39

Meet the Agent Editor: create and customize agents entirely from the UI or with a single slash command. Prompts, models, tools, MCPs, Skills policy, avatars. Easy mode to start, Advanced mode for control. Agent Zero v2.9 is out, here to simplify how you build custom agents.

Agent Zero

109,394 просмотров • 1 месяц назад

Awesome Copilot is a freshly started repository for collaboratively building a library of Copilot instructions, prompts, and chat modes. It's awesome! In the video I demo a Joyride script that lets you access the Awesome Copilot repository content from a quick-pick VS Code menu. Complete with fuzzy search, peak at the instructions, and install options for both global and workspace use of the instructions. Visual Studio Code
4:28

Awesome Copilot is a freshly started repository for collaboratively building a library of Copilot instructions, prompts, and chat modes. It's awesome! In the video I demo a Joyride script that lets you access the Awesome Copilot repository content from a quick-pick VS Code menu. Complete with fuzzy search, peak at the instructions, and install options for both global and workspace use of the instructions. Visual Studio Code

Peter Strömberg aka PEZ

53,669 просмотров • 1 год назад

🚀 Announcing LangSmith Skills + CLI 🚀 Agent improvements are increasingly driven by coding agents themselves. We're releasing LangSmith Skills alongside the LangSmith CLI to make coding agents experts at the agent engineering lifecycle. LangSmith Skills enable agents to debug traces, create datasets, and run experiments - and thanks to the CLI, agents are able to do it all natively through the terminal, where they're most comfortable. Try out LangSmith Skills and the CLI with your own coding agents! ➡️ Skills: ➡️ CLI:
1:30

🚀 Announcing LangSmith Skills + CLI 🚀 Agent improvements are increasingly driven by coding agents themselves. We're releasing LangSmith Skills alongside the LangSmith CLI to make coding agents experts at the agent engineering lifecycle. LangSmith Skills enable agents to debug traces, create datasets, and run experiments - and thanks to the CLI, agents are able to do it all natively through the terminal, where they're most comfortable. Try out LangSmith Skills and the CLI with your own coding agents! ➡️ Skills: ➡️ CLI:

LangChain

49,572 просмотров • 6 месяцев назад

🔥🔥We propose #VideoBooth to enable **customized video generation** with image prompts, which provide more accurate and direct content control beyond the text prompts. - Project: - Code: - Video:
1:05

🔥🔥We propose #VideoBooth to enable **customized video generation** with image prompts, which provide more accurate and direct content control beyond the text prompts. - Project: - Code: - Video:

Ziwei Liu

26,329 просмотров • 2 лет назад

Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: See the docs: Try Polly in LangSmith:
2:05

Polly is our AI assistant built directly into LangSmith to help you debug, analyze, and improve your agents — now generally available. Now, Polly lives on every page of LangSmith, remembers your full session as you navigate, and can take action to update prompts, compare experiments, write evaluators, and more. Read the blog: See the docs: Try Polly in LangSmith:

LangChain

12,595 просмотров • 5 месяцев назад

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:
0:56

🚀 LangSmith Agent Builder is now available in Public Beta Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents. Our Beta release also includes: 🧰 Bring your own tools via MCP server 🧩 Browse, copy, and customize agents across a shared workspace 🧠 Use your preferred model Try Agent Builder free: Read more on the launch:

LangChain

37,854 просмотров • 9 месяцев назад

The latest Visual Studio Code release brings auto model selection (preview) - a way to have the best model picked for you based on current capacity and performance. Currently being rolled out to all GitHub Copilot users in Visual Studio Code starting with individuals. Learn more:
0:35

The latest Visual Studio Code release brings auto model selection (preview) - a way to have the best model picked for you based on current capacity and performance. Currently being rolled out to all GitHub Copilot users in Visual Studio Code starting with individuals. Learn more:

Visual Studio Code

67,669 просмотров • 1 год назад

GROK IMAGINE PROMPT TIP: There's a very simple way to improve your prompts: use the prompts from the templates offered by Grok Imagine. These templates provide a wealth of prompts available to everyone. Take a prompt and analyze it to understand the purpose of each word. For example, I took the fish template and added a color change in the prompt using the video extension.
0:28

GROK IMAGINE PROMPT TIP: There's a very simple way to improve your prompts: use the prompts from the templates offered by Grok Imagine. These templates provide a wealth of prompts available to everyone. Take a prompt and analyze it to understand the purpose of each word. For example, I took the fish template and added a color change in the prompt using the video extension.

Déborah

551,262 просмотров • 5 месяцев назад

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.
7:51

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

10,127 просмотров • 2 месяцев назад