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:{"__typename":"Category","id":"category:microsoftintune","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Conversation:conversation:4408974":{"__typename":"Conversation","id":"conversation:4408974","topic":{"__typename":"BlogTopicMessage","uid":4408974},"lastPostingActivityTime":"2025-05-01T10:15:04.704-07:00","solved":false},"User:user:210546":{"__typename":"User","uid":210546,"login":"Lee_Stott","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0yMTA1NDYtODM5MjVpMDI2ODNGQTMwMzAwNDFGQQ"},"id":"user:210546"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4OTc0LWtrVnJ3MQ?revision=2\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4OTc0LWtrVnJ3MQ?revision=2","title":"mcpsettingsjson.png","associationType":"COVER","width":1377,"height":1111,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4OTc0LVppV0tBag?revision=2\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4OTc0LVppV0tBag?revision=2","title":"image.png","associationType":"BODY","width":1377,"height":1111,"altText":""},"BlogTopicMessage:message:4408974":{"__typename":"BlogTopicMessage","subject":"Getting Started with Azure MCP Server: A Guide for Developers","conversation":{"__ref":"Conversation:conversation:4408974"},"id":"message:4408974","revisionNum":2,"uid":4408974,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:210546"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":750},"postTime":"2025-04-30T00:00:00.031-07:00","lastPublishTime":"2025-04-30T00:00:00.031-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" The world of cloud computing is growing rapidly, and Azure is at the forefront of this innovation. If you're a student developer eager to dive into Azure and learn about Model Context Protocol (MCP), the Azure MCP Server is your perfect starting point. This tool, currently in Public Preview, empowers AI agents to seamlessly interact with Azure services like Azure Storage, Cosmos DB, and more. Let's explore how you can get started! \n 🎯 Why Use the Azure MCP Server? \n The Azure MCP Server revolutionizes how AI agents and developers interact with Azure services. Here's a glimpse of what it offers: \n \n Exploration Made Easy: List storage accounts, databases, resource groups, tables, and more with natural language commands. \n Advanced Operations: Manage configurations, query analytics, and execute complex tasks like building Azure applications. \n Streamlined Integration: From JSON communication to intelligent auto-completion, the Azure MCP Server ensures smooth operations. \n \n Whether you're querying log analytics or setting up app configurations, this server simplifies everything. \n ✨ Installation Guide: One-Click and Manual Methods \n Prerequisites: Before you begin, ensure the following: \n \n Install either the Stable or Insiders release of VS Code. \n Add the GitHub Copilot and GitHub Copilot Chat extensions. \n \n Option 1: One-Click Install You can install the Azure MCP Server in VS Code or VS Code Insiders using NPX. Here's how: Simply run: \n npx -y /mcp@latest server start \n Option 2: Manual Install If you'd prefer manual setup, follow these steps: \n \n Create a .vscode/mcp.json file in your VS Code project directory. \n Add the following configuration: { \"servers\": { \"Azure MCP Server\": { \"command\": \"npx\", \"args\": [\"-y\", \"@azure/mcp@latest\", \"server\", \"start\"] } } } \n \n Here an example of the settings.json file \n \n Now, launch GitHub Copilot in Agent Mode to activate the Azure MCP Server. \n 🚀 Supercharging Azure Development \n Once installed, the Azure MCP Server unlocks an array of capabilities: \n \n Azure Cosmos DB: List, query, manage databases and containers. \n Azure Storage: Query blob containers, metadata, and tables. \n Azure Monitor: Use KQL to analyze logs and monitor your resources. \n App Configuration: Handle key-value pairs and labeled configurations. \n \n Test prompts like: \n \n \"List my Azure Storage containers\" \n \"Query my Log Analytics workspace\" \n \"Show my key-value pairs in App Config\" \n \n These commands let your agents harness the power of Azure services effortlessly. \n \n \n 🛡️ Security & Authentication \n The Azure MCP Server simplifies authentication using Azure Identity. Your login credentials are handled securely, with support for mechanisms like: \n \n Visual Studio credentials \n Azure CLI login \n Interactive Browser login \n \n For advanced scenarios, enable production credentials with: \n export AZURE_MCP_INCLUDE_PRODUCTION_CREDENTIALS=true \n Always perform a security review when integrating MCP servers to ensure compliance with regulations and standards. \n 🌟 Why Join the Azure MCP Community? \n As a developer, you're invited to contribute to the Azure MCP Server project. Whether it's fixing bugs, adding features, or enhancing documentation, your contributions are valued. Explore the Contributing Guide for details on getting involved. \n The Azure MCP Server is your gateway to leveraging Azure services with cutting-edge technology. Dive in, experiment, and bring your projects to life! What Azure project are you excited to build with the MCP Server? Let’s brainstorm ideas together! 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AI Agents with MCP Tool Use in Minutes with AI Toolkit for VSCode","conversation":{"__ref":"Conversation:conversation:4407959"},"id":"message:4407959","revisionNum":6,"uid":4407959,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:814565"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Introducing Agent Builder in AI Toolkit","metrics":{"__typename":"MessageMetrics","views":1447},"postTime":"2025-04-29T00:00:00.035-07:00","lastPublishTime":"2025-04-29T07:30:35.015-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" We’re excited to announce Agent Builder, the newest evolution of what was formerly known as Prompt Builder, now reimagined and supercharged for intelligent app development. This powerful tool in AI Toolkit enables you to create, iterate, and optimize agents—from prompt engineering to tool integration—all in one seamless workflow. \n \n \n Whether you're designing simple chat interactions or complex task-performing agents with tool access, Agent Builder simplifies the journey from idea to integration. \n \n \n Why Agent Builder? \n Agent Builder is designed to empower developers and prompt engineers to: \n \n 🚀 Generate starter prompts with natural language \n 🔁 Iterate and refine prompts based on model responses \n 🧩 Break down tasks with prompt chaining and structured outputs \n 🧪 Test integrations with real-time runs and tool use such as MCP servers \n 💻 Generate production-ready code for rapid app development \n \n And a lot of features are coming soon, stay tuned for: \n \n 📝 Use variables in prompts \n �� Run agent with test cases to test your agent easily \n 📊 Evaluate the accuracy and performance of your agent with built-in or your custom metrics \n ☁️ Deploy your agent to cloud \n \n Build Smart Agents with Tool Use (MCP Servers) \n Agents can now connect to external tools through MCP (Model Control Protocol) servers, enabling them to perform real-world actions like querying a database, accessing APIs, or executing custom logic. \n Connect to an Existing MCP Server \n \n To use an existing MCP server in Agent Builder: \n \n In the Tools section, select + MCP Server. \n Choose a connection type: \n \n Command (stdio) – run a local command that implements the MCP protocol \n HTTP (server-sent events) – connect to a remote server implementing the MCP protocol \n \n \n If the MCP server supports multiple tools, select the specific tool you want to use. \n Enter your prompts and click Run to test the agent's interaction with the tool. \n \n This integration allows your agents to fetch live data or trigger custom backend services as part of the conversation flow. \n Build and Scaffold a New MCP Server \n \n Want to create your own tool? Agent Builder helps you scaffold a new MCP server project: \n \n In the Tools section, select + MCP Server. \n Choose MCP server project. \n Select your preferred programming language: Python or TypeScript. \n Pick a folder to create your server project. \n Name your project and click Create. \n \n Agent Builder generates a scaffolded implementation of the MCP protocol that you can extend. Use the built-in VS Code debugger: \n \n Press F5 or click Debug in Agent Builder \n Test with prompts like: \n System: You are a weather forecast professional that can tell weather information based on given location. \n User: What is the weather in Shanghai? \n \n Agent Builder will automatically connect to your running server and show the response, making it easy to test and refine the tool-agent interaction. \n \n AI Sparks from Prototype to Production with AI Toolkit \n Building AI-powered applications from scratch or infusing intelligence into existing systems? AI Sparks is your go-to webinar series for mastering the AI Toolkit (AITK) from foundational concepts to cutting-edge techniques. \n In this bi-weekly, hands-on series, we’ll cover: \n 🚀SLMs & Local Models – Test and deploy AI models and applications efficiently on your own terms locally, to edge devices or to the cloud \n 🔍 Embedding Models & RAG – Supercharge retrieval for smarter applications using existing data. \n 🎨 Multi-Modal AI – Work with images, text, and beyond. \n 🤖 Agentic Frameworks – Build autonomous, decision-making AI systems. Watch on Demand \n Share your feedback \n Get started with the latest version, share your feedback, and let us know how these new features help you in your AI development journey. As always, we’re here to listen, collaborate, and grow alongside our amazing user community. \n Thank you for being a part of this journey—let’s build the future of AI together! 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Microsoft Agents Hack Online Events and Readiness Resources","conversation":{"__ref":"Conversation:conversation:4408858"},"id":"message:4408858","revisionNum":1,"uid":4408858,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:210546"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":56},"postTime":"2025-04-28T13:21:44.987-07:00","lastPublishTime":"2025-04-28T13:21:44.987-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Readiness and skilling events for Week 4: Microsoft AI Agents Hack Register Now at https://aka.ms/agentshack \n \n 2025 is the year of AI agents! But what exactly is an agent, and how can you build one? Whether you're a seasoned developer or just starting out, this FREE three-week virtual hackathon is your chance to dive deep into AI agent development. \n 🔥 Learn from expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. \n \n Week 4: April 28th-30th Live and On Demand \n Topic Track Irresponsible AI Agents Java Securing AI agents on Azure Python The Art of AI Embodiment: Real-Time Interactive Experiences with Azure OpenAI GPT-4o and 3D Avatars Python Evaluating Agents Python \n 🌟 Join the Conversation on Azure AI Foundry Discussions! 🌟 Have ideas, questions, or insights about AI? Don't keep them to yourself! Share your thoughts, engage with experts, and connect with a community that’s shaping the future of artificial intelligence. 🧠✨ 👉 Click here to join the discussion! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1182","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4ODU4LWR5dWZleA?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA4ODU4LWR5dWZleA?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4407571":{"__typename":"Conversation","id":"conversation:4407571","topic":{"__typename":"BlogTopicMessage","uid":4407571},"lastPostingActivityTime":"2025-04-24T06:07:17.321-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA3NTcxLTNOYVQ0TQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA3NTcxLTNOYVQ0TQ?revision=3","title":"buildyourdream.png","associationType":"COVER","width":1920,"height":1080,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA3NTcxLXZ6VEJ5aQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA3NTcxLXZ6VEJ5aQ?revision=3","title":"clipboard_image-1-1745499430971.png","associationType":"BODY","width":750,"height":422,"altText":""},"BlogTopicMessage:message:4407571":{"__typename":"BlogTopicMessage","subject":"Week 3 . Microsoft Agents Hack Online Events and Readiness Resources","conversation":{"__ref":"Conversation:conversation:4407571"},"id":"message:4407571","revisionNum":3,"uid":4407571,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:210546"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":107},"postTime":"2025-04-24T06:04:20.181-07:00","lastPublishTime":"2025-04-24T06:07:17.321-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Readiness and skilling events for Week 3: Microsoft AI Agents Hack Register Now at https://aka.ms/agentshack \n https://aka.ms/agentshack \n \n \n \n 2025 is the year of AI agents! But what exactly is an agent, and how can you build one? Whether you're a seasoned developer or just starting out, this FREE three-week virtual hackathon is your chance to dive deep into AI agent development. Register Now: https://aka.ms/agentshack \n 🔥 Learn from expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. \n Week 3: April 21st-25th LIVE & ONDEMAND \n Day/Time Topic Track 4/21 12:00 PM PT Knowledge-augmented agents with LlamaIndex.TS JS 4/22 06:00 AM PT Building a AI Agent with Prompty and Azure AI Foundry Python 4/22 09:00 AM PT Real-time Multi-Agent LLM solutions with SignalR, gRPC, and HTTP based on Semantic Kernel C# 4/22 10:30 AM PT Learn Live: Fundamentals of AI agents on Azure - 4/22 12:00 PM PT Demystifying Agents: Building an AI Agent from Scratch on Your Own Data using Azure SQL C# 4/22 03:00 PM PT VoiceRAG: talk to your data Python 4/23 09:00 AM PT Building Multi-Agent Apps on top of Azure PostgreSQL Python 4/23 12:00 PM PT Agentic RAG with reflection Python 4/23 03:00 PM PT Multi-source data patterns for modern RAG apps C# 4/24 06:00 AM PT Engineering agents that Think, Act, and Govern themselves C# 4/24 09:00 AM PT Extending AI Agents with Azure Functions Python, C# 4/24 12:00 PM PT Build real time voice agents with Azure Communication Services Python \n 🌟 Join the Conversation on Azure AI Foundry Discussions! 🌟 Have ideas, questions, or insights about AI? Don't keep them to yourself! Share your thoughts, engage with experts, and connect with a community that’s shaping the future of artificial intelligence. 🧠✨ 👉 Click here to join the discussion! 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Instead of simply suggesting code snippets, Agent Mode empowers the AI to: \n \n Write, edit, and iterate on code \n Run terminal commands autonomously \n Fix its own mistakes during the workflow \n Interact with external tools, APIs, and services \n \n This creates a more dynamic, \"agentic\" coding partner that can automate complex tasks, reduce manual intervention, and keep developers in their flow. Agent Mode is accessible directly in VS Code and integrates seamlessly with GitHub Copilot, making advanced AI capabilities available to developers of all levels. \n 1. Model Context Protocol (MCP) \n MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). This protocol acts as a bridge, allowing AI agents in VS Code to securely connect with a vast ecosystem of tools, APIs, and internal resources—well beyond what’s available out-of-the-box. \n Key Points about MCP: \n \n Ecosystem Approach: MCP enables developers to connect Copilot and other agents to everything they need—internal documentation, databases, design tools like Figma, and more—by exposing these resources as MCP servers. \n Open and Extensible: Similar to the Language Server Protocol (LSP), MCP allows anyone to build and share new integrations. There are already thousands of MCP servers available, and building your own is straightforward with SDKs in major languages. \n Tool Chaining: MCP servers can be composed together, allowing the AI to automate workflows involving multiple tools—like fetching data, updating issues, or running tests—without manual intervention. \n Secure and Evolving: The protocol is evolving to support more secure authentication (moving from local API keys to OAuth-based flows) and easier discovery and installation, making it safer and more user-friendly. \n \n 2. Next Edit Suggestions (NES) \n Next Edit Suggestions (NES) is a feature designed to enhance editing experience by providing context-aware recommendations for code changes. NES helps developers by: \n \n Suggesting relevant edits based on the current code context \n Supporting tasks like refactoring, bug fixing, and feature additions \n Allowing developers to focus on logic and architecture rather than syntax \n \n NES works hand-in-hand with Agent Mode, letting developers quickly accept, undo, or iterate on AI-generated changes, all while maintaining control and oversight of their codebase. \n 3. Bring Your Own Key (BYOK): Custom AI Model Integration \n Bring Your Own Key (BYOK) allows users to connect their own API keys for custom AI models, including those from OpenAI, Anthropic, or even local models via platforms like Olama. With BYOK, developers can: \n \n Choose from a variety of AI models, including the latest GPT-4o Mini and Claude 3 Opus \n Integrate local or cloud-based models for privacy, cost, or performance reasons \n Tailor the AI experience to their specific needs and preferences \n \n This flexibility ensures that developers are not locked into a single provider and can experiment with the latest advancements in AI as soon as they become available. \n 4. The Agentic Future \n A preview of \"Project Padawan\" demonstrated how agentic workflows could soon run asynchronously in the cloud. Developers will be able to assign tasks to Copilot (such as resolving GitHub issues), which will autonomously create pull requests, run tests, and iterate on feedback—all while the developer focuses on other work. \n \n GitHub Copilot Skills Challenge \n Want to learn and experiment with GitHub Copilot's Agent Mode while earning a Digital Badge? Join the GitHub Copilot Skills Challenge—a hands-on learning experience on Microsoft Learn where you'll build a Python app using Agent Mode through a guided tutorial. Complete the challenge by April 30, 2025, to earn your badge! \n \n Check out the official rules: https://aka.ms/csc/terms \n Register to the Challenge: https://aka.ms/csc/githubcopilot \n Request your badge at https://aka.ms/getyourbadge \n \n Getting Started \n Enable Agent Mode—available in both stable and insiders builds—to start experimenting with advanced AI capabilities, and explore MCP Integrations by browsing the growing list of servers or building your own with the available SDKs. \n Want to see these features in action? Watch the full stream for live demos, expert tips, and save the date for the next episode of our VS Code Live series: https://aka.ms/VSCode/Live \n Happy Coding! 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AI for 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Generative AI with JavaScript: Free and Interactive Course! 💡🤖","conversation":{"__ref":"Conversation:conversation:4406740"},"id":"message:4406740","revisionNum":1,"uid":4406740,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:321336"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n Master Generative AI using JavaScript in a free, interactive course by Microsoft. Explore lessons with historical characters, hands-on projects, and real-world AI tools. Start learning today with zero setup via GitHub Codespaces. ","introduction":"Discover how to learn Generative AI with JavaScript in a free, gamified course created by the Microsoft JavaScript + A.I Advocacy Team. A fun journey with historical characters, interactive projects, and cutting-edge technology.","metrics":{"__typename":"MessageMetrics","views":153},"postTime":"2025-04-23T00:00:00.015-07:00","lastPublishTime":"2025-04-23T00:00:00.015-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In the latest video on my YouTube Channel, the Microsoft JavaScript + A.I Advocacy team presents an innovative initiative for developers who want to take their first steps with Artificial Intelligence: the free course Generative AI with JavaScript. Combining technical learning with a gamified experience, the course is an excellent gateway for those who want to explore Generative AI using JavaScript/TypeScript. \n \n \n Let’s talk a bit more about the course and how it can help you become a more skilled and up-to-date developer with the latest tech trends. \n About the Course: Generative AI with JavaScript \n I recorded a video where I explain the main concepts covered in the course, including Generative AI techniques, practical examples, and tips to maximize your learning. If you haven’t watched it yet, here’s the link in Portuguese with English subtitles. \n \n \n The video begins with an introduction to the course repository, hosted under the official Microsoft organization on GitHub. \n The course takes a unique approach, using a time travel narrative where you interact with historical figures like Leonardo da Vinci, Ada Lovelace, Montezuma, and many others while learning AI fundamentals. \n \n \n This engaging storyline is backed by solid technical content. Each lesson includes instructional reading material, practical challenges with exercises and quizzes, and a complementary app where you can chat with the historical characters using language models (LLMs). The mix of storytelling and technology makes the learning process immersive and accessible. \n The Course Experience \n During the video, I gave a full tour of the repository, highlighting that the course was originally in English (now it’s available in Portuguese too!!). \n \n The course is structured into five initial lessons, with the promise of frequent updates following the rapid evolution of the Generative AI field. Today we’re talking about RAG (Retrieval Augmented Generation), and tomorrow we’re already exploring Model Context Protocol and intelligent agents. For this reason, the repository should be seen as a living, constantly evolving project. \n To start learning, you can either clone the repository locally or use GitHub Codespaces, which is the recommended option in the video. With 60 free hours per month, Codespaces lets you launch a complete development environment straight from your browser, with no local installations required. This convenience democratizes access to the content, especially for those with limited resources. \n Inside Codespaces, you’ll find a pre-configured environment with all the necessary dependencies to run the course examples and challenges. The repository includes a README.md file with detailed setup instructions, plus links to the companion app and other useful resources. \n In the first lesson, for example, students learn about the fundamentals of Generative AI and LLMs, exploring their applications and limitations in a JavaScript development context. In addition to the text content, there’s an intro video and supporting slides, offering multiple ways to learn. \n \n \n The Historical Characters App \n One of the course highlights is the Characters App, an interactive application that simulates conversations with historical figures using LLMs. The video shows how to run this app directly in Codespaces—just navigate to the correct folder, run npm install and npm run start, and open port 3000 in the integrated browser. \n Upon launching the app, users can choose characters like Dinocrates of Alexandria, Leonardo da Vinci, Ludovico Sforza, Montezuma, and Ada Lovelace. Each responds in their own personality and historical context, allowing the student to experience different interaction styles with AI. \n \n \n The experience is enhanced with voice support, bringing the characters to life and encouraging a playful way to understand AI concepts. It’s an approach that blends technical learning with cultural and historical immersion. \n Guided Learning with Exercises \n Another important aspect of the course is that it doesn’t stop at theory. Each lesson includes practical exercises that challenge students to apply what they’ve learned. The video shows where to find these challenges and how to locate the suggested solutions—helping both beginners and those looking to review their knowledge. \n \n The idea is to truly engage with the content. Instead of just consuming ready-made material, you’re encouraged to try solving the problems on your own before checking the solution. This active approach supports better knowledge retention. \n There are also useful tips on setting up your environment, using GitHub Copilot, and taking advantage of free model access like Claude, Gemini, and GPT-4o. The video emphasizes that nowadays, there are many options for those who want to learn and experiment with AI without spending money—including using GitHub Models! \n Conclusion \n Here’s the invitation! Explore the course at your own pace, interact with the characters, complete the exercises, and follow all the updates directly from the course repository. This way, you’ll always stay ahead in your learning journey with Generative AI using JavaScript/TypeScript. \n If you haven’t explored the course yet, now is the time. Fork the repository, try the course directly in Codespaces, chat with Da Vinci or Ada Lovelace, and start building your own knowledge in Generative AI with JavaScript. \n You're just one step away from becoming a Generative AI expert with JavaScript — get started now with a simple git clone! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"5675","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLWozcWRGdw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLXl5R2laaQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLVVHdWxlYQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLVdjNkJYVw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLVl2VnVaUQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDY","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLUJCNll2UQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDc","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLXlnRUdBRw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDg","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLTV4YVQ5Vg?revision=1\"}"}}],"totalCount":8,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3lvdXR1LmJlL0xmbXRIZTRvSm00P3NpPV93Z25GcnM0TGh5dWpfR3gvMTc0NTM0NTQ1MDg4MHwwfDI1OzI1fHw","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://youtu.be/LfmtHe4oJm4?si=_wgnFrs4Lhyuj_Gx/1745345450880","thumbnail":"https://i.ytimg.com/vi/LfmtHe4oJm4/hqdefault.jpg","uploading":false,"height":240,"width":320,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA2NzQwLWozcWRGdw?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4404086":{"__typename":"Conversation","id":"conversation:4404086","topic":{"__typename":"BlogTopicMessage","uid":4404086},"lastPostingActivityTime":"2025-04-14T08:30:09.277-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LUxBWHFHaQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LUxBWHFHaQ?revision=3","title":"AiAgentsImages_FriendlyRobot.png","associationType":"COVER","width":1920,"height":1080,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LTJwbEFQTw?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LTJwbEFQTw?revision=3","title":"BuildMultiAgent.png","associationType":"BODY","width":1920,"height":1080,"altText":""},"BlogTopicMessage:message:4404086":{"__typename":"BlogTopicMessage","subject":"Week 2 . Microsoft Agents Hack Online Events and Readiness Resources","conversation":{"__ref":"Conversation:conversation:4404086"},"id":"message:4404086","revisionNum":3,"uid":4404086,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:210546"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Readiness and skilling events for Week 2: Microsoft AI Agents Hack \n\nRegister Now at https://aka.ms/agentshack","metrics":{"__typename":"MessageMetrics","views":649},"postTime":"2025-04-14T08:24:08.328-07:00","lastPublishTime":"2025-04-14T08:30:09.277-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" https://aka.ms/agentshack \n \n 2025 is the year of AI agents! But what exactly is an agent, and how can you build one? Whether you're a seasoned developer or just starting out, this FREE three-week virtual hackathon is your chance to dive deep into AI agent development. Register Now: https://aka.ms/agentshack \n 🔥 Learn from expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. \n Week 2 Events: April 14th-18th \n Day/Time Topic Track 4/14 08:00 AM PT Building custom engine agents with Azure AI Foundry and Visual Studio Code Copilots 4/15 07:00 AM PT Your first AI Agent in JS with Azure AI Agent Service JS 4/15 09:00 AM PT Building Agentic Applications with AutoGen v0.4 Python 4/15 12:00 PM PT AI Agents + .NET Aspire C# 4/15 03:00 PM PT Prototyping AI Agents with GitHub Models Python 4/16 04:00 AM PT Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB C# 4/16 06:00 AM PT Building declarative agents with Microsoft Copilot Studio & Teams Toolkit Copilots 4/16 07:00 AM PT Prompting is the New Scripting: Meet GenAIScript JS 4/16 09:00 AM PT Building agents with an army of models from the Azure AI model catalog Python 4/16 12:00 PM PT Multi-Agent API with LangGraph and Azure Cosmos DB Python 4/16 03:00 PM PT Mastering Agentic RAG Python 4/17 06:00 AM PT Build your own agent with OpenAI, .NET, and Copilot Studio C# 4/17 09:00 AM PT Building smarter Python AI agents with code interpreters Python 4/17 12:00 PM PT Building Java AI Agents using LangChain4j and Dynamic Sessions Java 4/17 03:00 PM PT Agentic Voice Mode Unplugged Python ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1799","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LUxBWHFHaQ?revision=3\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LTJwbEFQTw?revision=3\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA0MDg2LUxBWHFHaQ?revision=3"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4401615":{"__typename":"Conversation","id":"conversation:4401615","topic":{"__typename":"BlogTopicMessage","uid":4401615},"lastPostingActivityTime":"2025-04-09T14:28:53.631-07:00","solved":false},"User:user:2558509":{"__typename":"User","uid":2558509,"login":"vinayakh","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0yNTU4NTA5LTYxODM4MGkxQ0ZCNjVFREU2RjhENkVF"},"id":"user:2558509"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LUtDRklrdw?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LUtDRklrdw?revision=3","title":"Evaluation_Run_Pane.jpg","associationType":"COVER","width":2392,"height":1519,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LWRRa2J4cw?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LWRRa2J4cw?revision=3","title":"Tools_Menu.jpg","associationType":"BODY","width":367,"height":262,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LUdBZ2VZWA?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LUdBZ2VZWA?revision=3","title":"Evaluation_Selection_Pane.jpg","associationType":"BODY","width":2394,"height":1471,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LWU3S203VQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LWU3S203VQ?revision=3","title":"Evaluation_Manage_Pane.jpg","associationType":"BODY","width":2317,"height":739,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LW4xYnkwdw?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LW4xYnkwdw?revision=3","title":"Custome_Evaluation_Create_Pane.jpg","associationType":"BODY","width":2322,"height":1270,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LVFlZjJ6MQ?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxNjE1LVFlZjJ6MQ?revision=3","title":"Evaluation_Run_Pane.jpg","associationType":"BODY","width":2392,"height":1519,"altText":""},"BlogTopicMessage:message:4401615":{"__typename":"BlogTopicMessage","subject":"Selecting and upgrading models using Evaluations – Part 2","conversation":{"__ref":"Conversation:conversation:4401615"},"id":"message:4401615","revisionNum":3,"uid":4401615,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:2558509"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":127},"postTime":"2025-04-09T00:00:00.021-07:00","lastPublishTime":"2025-04-09T14:28:53.631-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In the previous article, we explored why evaluations are crucial and how they can help you choose the right model for your specific industry, domain, or app-level data. We also introduced the \"bulk-run\" feature in AI Toolkit for Visual Studio Code, which allows you to automate parts of the human evaluation process. \n In this article, we'll take things a step further by using a more capable model to evaluate the responses of a less capable one. For example, you might compare older versions of a model against a newer, more powerful version, or evaluate a fine-tuned small language model (SLM) using a larger model like GPT-4o. \n You can access this functionality through the \"Evaluations\" option in the tool's menu of the AI Toolkit for Visual Studio Code Extension (see below). But before we start using it, let’s take a moment to understand the distinct types of evaluation methods available for assessing responses from large language models. \n \n Evaluators \n When testing AI models, it's not enough to just look at outputs manually. Evaluators help us systematically measure how well a model is performing across different dimensions like relevance, coherence and fluency, these specific metrics include grammar, similarity to ground truth and more. Below is a brief overview of the key evaluators commonly used: \n \n Coherence - Evaluates how naturally and logically a model’s response flows. It checks whether the answer makes sense in context and follows a consistent train of thought. Required columns: query, response \n Fluency - Assesses grammatical correctness and fluency. A fluent response reads smoothly, like something a human would write. Required columns: response \n Relevance - Checks how well the response answers the original question or prompt. It’s all about staying on topic and being helpful. Required columns: query, response \n Similarity - Measures how similar the model’s response is to a reference (ground truth), taking both the question and answer into account. Required columns: query, response, ground_truth \n BLEU (Bilingual Evaluation Understudy) - A popular metric that compares how closely the model’s output matches reference texts using n-gram overlaps. Required columns: response, ground_truth \n F1 Score - Calculates the overlap of words between the model’s output and the correct answer, balancing precision and recall. Required columns: response, ground_truth \n GLEU (General Language Understanding Benchmark) - Similar to BLEU but optimized for sentence-level evaluation. It uses n-gram overlap to assess how well the output matches the reference. Required columns: response, ground_truth \n METEOR - Goes beyond simple word overlap by aligning synonyms and related phrases, while also focusing on precision, recall, and word order. Required columns: response, ground_truth \n \n Using Evaluations \n Now that we have an overview of the evaluations, let’s use a sample dataset to run an evaluation. Open Visual Studio Code and select the AI Toolkit Extension, in the AI Toolkit extension: Click on the Tools Menu > Eval the Tools Menu > Evaluations and you should get a window like below: \n \n You can either create a new evaluation or create a new evaluation run (See the blue button on the top right of the screen). If you create a new evaluation, you can choose one or more of the evaluators we talked about above. You can use the sample dataset, or you can use your own dataset. Just be aware, that if you are running a large dataset of your own, you might run against the rate limit for GitHub models, if you choose those for evaluating the output. You can create your own dataset in the JSONLines format we discussed in the earlier part of this blog post. \n In addition to using your own dataset to evaluate the model, you can also use your own python evaluators. Click on the evaluators tab and you should see the following screen. \n \n Using the Create Evaluation button (highlighted in blue on the top right-hand corner of the pane), you can create and add your own evaluator. The fields are self-explanatory. \n \n Evaluation run \n Let's now run the evaluation and you should see something like the output below. You can see the line-by-line input (from the JSONLines dataset that you used) and output against each of the evaluators that you have selected. You can also see the details of the run in the output pane below as the evaluations run. You will see each evaluation start (once per evaluator) and run through each of lines in your dataset. You might also see some errors sometimes due to rate limiting and which can be retried automatically by AI toolkit executor. \n \n You can see the scores for each of the evaluators by scrolling horizontally. You can additionally back up and check these scores using human evaluations as well, if necessary, especially for fields where domain expertise is important and the risk of harm due to errors is higher. \n Evaluations play a key role in understanding, selecting models and improving model performance across tasks and domains. By using a mix of automated and human-in-the-loop evaluators, you can get a clearer picture of your model's strengths and weaknesses. Start small, measure often, and let the data guide your AI application iterations. \n Further reading \n \n Selecting and upgrading models – part 1 - Using Evaluations – Part 1 \n Evaluating generative AI applications - https://aka.ms/evaluate-genAI \n AI Toolkit Samples \n Generative AI for Beginners guide - https://microsoft.github.io/generative-ai-for-beginners \n AI toolkit for VSCode Marketplace - https://aka.ms/AIToolkit \n Docs for AI toolkit - https://aka.ms/AIToolkit/doc \n AI Spark series https://developer.microsoft.com/en-us/reactor/events/25040/ \n 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Agente: disponible para todos los usuarios y compatible con MCP","conversation":{"__ref":"Conversation:conversation:4401767"},"id":"message:4401767","revisionNum":2,"uid":4401767,"depth":0,"board":{"__ref":"Blog:board:AzureDevCommunityBlog"},"author":{"__ref":"User:user:448337"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" ¡El modo Agente se está lanzando para todos los usuarios de VS Code! El agente actúa como un programador autónomo que realiza tareas de codificación en varias etapas bajo tu comando, como analizar tu base de código, proponer ediciones de archivos y ejecutar comandos en el terminal. Responde a errores de compilación y lint, monitorea la salida del terminal y corrige automáticamente en un bucle hasta que la tarea esté completada. El agente también puede usar herramientas contribuidas, lo que le permite interactuar con servidores MCP externos o extensiones de VS Code para realizar una amplia variedad de tareas. ","introduction":"\n","metrics":{"__typename":"MessageMetrics","views":364},"postTime":"2025-04-08T05:10:07.125-07:00","lastPublishTime":"2025-04-08T05:12:23.347-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" ¡El modo Agente se está lanzando para todos los usuarios de VS Code! El agente actúa como un programador autónomo que realiza tareas de codificación en varias etapas bajo tu comando, como analizar tu base de código, proponer ediciones de archivos y ejecutar comandos en el terminal. Responde a errores de compilación y lint, monitorea la salida del terminal y corrige automáticamente en un bucle hasta que la tarea esté completada. El agente también puede usar herramientas contribuidas, lo que le permite interactuar con servidores MCP externos o extensiones de VS Code para realizar una amplia variedad de tareas. \n \n \n Disponible para todos los usuarios \n Abre la vista de Chat, inicia sesión en GitHub, configura chat.agent.enabled en tus ajustes y selecciona Agente en el menú desplegable del modo de Chat. Si no ves la configuración, asegúrate de recargar VS Code después de actualizar a la última versión. En las próximas semanas, lo lanzaremos por defecto para todos - no será necesario configurar nada. \n El modo Agente es ideal para escenarios donde: \n \n Tu tarea involucra múltiples pasos. El agente edita el código, ejecuta comandos en el terminal, monitorea errores y itera para resolver cualquier problema que surja. \n No estás seguro del alcance de los cambios. El agente determina automáticamente los archivos y el contexto relevantes. \n Tu tarea requiere interacción con aplicaciones o datos externos. El agente se integra con servidores MCP y extensiones de VS Code. \n \n Por otro lado, usa el modo de edición cuando la tarea tenga un alcance bien definido, quieras una respuesta rápida o quieras un control más preciso sobre el número de solicitudes al LLM. \n Hemos creado una experiencia de chat unificada, combinando las vistas de Chat y Ediciones, que trae beneficios como el historial de sesiones, mover el chat a una ventana separada y la simplificación de la vista del Conjunto de Trabajo. Todo esto ahora también está disponible en el modo Agente. \n \n Continuamos recibiendo comentarios fantásticos de los usuarios (¡por favor, sigan enviándolos!), lo que ha inspirado muchas de las mejoras que hemos realizado. Más notablemente: \n \n La acción de deshacer ahora revierte los cambios hasta la última llamada de la herramienta de edición de archivos. \n Soporte para múltiples sesiones de agente en el mismo espacio de trabajo (mejor cuando las sesiones de edición no modifican los mismos archivos). \n El agente ahora puede crear y editar cuadernos. \n La capacidad de aprobar automáticamente las llamadas de herramientas (la aprobación automática del terminal llegará en abril). \n Una serie de mejoras en la calidad de vida y correcciones de errores. \n \n Tanto las experiencias de preguntar como de editar están evolucionando hacia una arquitectura que, como el agente, utiliza herramientas. Estamos haciendo este cambio para unificar los modos de preguntar/editar/agente para que todos sean agénticos, con el objetivo de suavizar la experiencia general del usuario. Esto permite que el modo de edición use la herramienta de edición de archivos para mejorar la velocidad, y los modos de edición y pregunta usen #codebase, una búsqueda agéntica en la base de código. En consecuencia, los modelos de lenguaje sin soporte para llamadas de herramientas ya no estarán disponibles en el modo de edición. \n Extensible: servidores MCP y extensiones de VS Code \n Así como las extensiones de VS Code te permiten personalizar tus flujos de trabajo específicos, la extensibilidad del agente te permite adaptar el agente a tus necesidades. Con la extensibilidad, el agente puede realizar acciones en el navegador (depuración web con IA), conectarse a tus aplicaciones de chat y de toma de notas, interactuar con tus bases de datos, obtener contexto de tu sistema de diseño, obtener problemas y contexto de repositorio de GitHub e integrarse con tus plataformas en la nube. El poder del modo agente está en la diversidad de herramientas disponibles y en la flexibilidad de agregar y eliminar herramientas como usuario. Estamos lanzando la extensibilidad en vista previa y disponible para todos los usuarios. \n El modo agente puede usar las siguientes herramientas: \n \n Herramientas integradas contribuidas por VS Code (azul en el diagrama), que permiten al agente buscar en el espacio de trabajo, aplicar cambios de código, ejecutar comandos en el terminal, capturar errores de compilación o linting desde el editor, obtener contenido de sitios web (#fetch para activar manualmente), y más. \n Herramientas contribuidas por servidores MCP (verde en el diagrama). \n Herramientas contribuidas por extensiones de VS Code (verde en el diagrama). \n \n \n Cuando el equipo de VS Code inventó el Protocolo de Servidor de Lenguaje (LSP) en 2016, nuestro objetivo era estandarizar cómo los servidores de lenguaje se comunican con las herramientas de desarrollo. Estamos orgullosos de que LSP se haya convertido en un estándar ampliamente adoptado y haya cumplido nuestra visión. Recientemente, las ideas detrás de LSP inspiraron un nuevo protocolo: el Protocolo de Contexto de Modelo (MCP), que estandariza cómo las aplicaciones proporcionan contexto a los LLMs. Con el modo agente en VS Code usando herramientas contribuidas por servidores MCP, ahora hemos completado el círculo de vuelta a VS Code. \n Se trata del control del desarrollador \n No todas las tareas necesitan todas las herramientas que podrías haber agregado al modo agente, y como en cualquier flujo de trabajo de IA, ser específico lleva a mejores resultados. Recomendamos usar la interfaz de herramientas para gestionar y habilitar las herramientas necesarias para cada escenario o referenciar explícitamente las herramientas en tu prompt escribiendo #. \n \n Para darte control total, cada invocación de herramienta se muestra de manera transparente en la interfaz y requiere tu aprobación (excepto para las herramientas integradas de solo lectura). Puedes permitir una herramienta específica para la sesión actual, el espacio de trabajo o todas las invocaciones futuras. Si deseas minimizar interrupciones permitiendo siempre que el agente use todas las herramientas, mientras mantienes la seguridad, considera usar la extensión Dev Containers. Esto aísla todos los cambios impulsados por el agente dentro del entorno del contenedor hasta cierto punto (por ejemplo, el agente aún podría enviar cambios al remoto si lo permites). \n \n Comienza ahora \n Para personalizar el agente para tus flujos de trabajo, selecciona el ícono de Herramientas en la entrada del chat y sigue el flujo de Agregar Más Herramientas.... Alternativamente, lee nuestra documentación del servidor MCP, que explica el formato de configuración, cómo agregar un servidor MCP o cómo importar servidores MCP desde una aplicación cliente MCP existente como Claude Desktop. VS Code soporta entrada/salida estándar local (stdio) y eventos enviados por el servidor (sse) para el transporte del servidor MCP. \n El repositorio oficial de servidores de MCP es un excelente punto de partida para servidores oficiales y contribuidos por la comunidad que muestran la versatilidad de MCP. Para instalar extensiones que contribuyen herramientas, abre la vista de Extensiones y busca usando la etiqueta @tag:language-model-tools. \n \n Como desarrollador, puedes extender el agente creando un servidor MCP, o si eres un autor de extensiones, puedes contribuir con herramientas a tu extensión de VS Code. Consulta estos documentos para obtener orientación y mejores prácticas sobre cómo escribir herramientas. \n Qué sigue \n El modo Agente está mejorando cada día, y para estar entre los primeros en beneficiarse, considera instalar VS Code Insiders. Usar VS Code Insiders y proporcionar comentarios en nuestro repositorio es la mejor manera de ayudarnos a mejorar el producto. A continuación, planeamos trabajar en: \n \n Soporte para modos personalizados con conjuntos de herramientas e instrucciones personalizadas. \n Una experiencia de aplicación de código más rápida. \n Expandir el soporte MCP de herramientas a prompts, recursos y las últimas actualizaciones de especificaciones. \n Transmisión de ediciones limitada a bloques de código cambiados para mejorar la velocidad. \n Puntos de control para volver fácilmente a un paso específico en tu sesión de modo agente. \n Mejoras generales de rendimiento y calidad de servicio. \n \n Asegúrate de estar en la última versión estable de VS Code, configura chat.agent.enabled en tus ajustes y selecciona Agente en el menú desplegable del modo. Pruébalo hoy y dinos qué piensas. Puedes encontrar la documentación aquí. 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Integrated with GitHub Copilot Chat, it streamlines tasks like deploying apps, managing cloud infrastructure, exploring AI services, and planning migrations—without leaving your IDE. From creating Kubernetes clusters to configuring Redis caches or deploying GPT-4 models, this tool boosts developer productivity and reduces context switching. Whether you're building with Azure Functions or managing GenAI APIs, Copilot guides you step-by-step. Start accelerating your Azure development today with GitHub Copilot for Azure—your AI-powered assistant for cloud workflows. ","introduction":"12 scenarios that show how GitHub Copilot for Azure can streamline your Azure workflows","metrics":{"__typename":"MessageMetrics","views":515},"postTime":"2025-04-03T21:30:00.021-07:00","lastPublishTime":"2025-04-05T08:32:40.212-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" GitHub Copilot for Azure is an extension that simplifies managing Azure resources directly from VS Code. Integrated with GitHub Copilot Chat, you can perform tasks like creating and modifying resources without leaving your IDE. Just type a prompt like \"@azure Help me create a blog storage resource\", and Copilot guides you through the process in plain language. \n Why it stands out: \n \n Your Azure Copilot: A virtual guide for quickly navigating and managing Azure resource. \n \n \n No context switching: Skip the Azure portal—handle everything from within VS Code. \n \n \n Simplified documentation: Get the right commands and arguments without digging through multiple tabs. \n \n \n Instant access: Type \"@azure\" in GitHub Copilot Chat to unlock Azure capabilities. \n \n In this post, we’ll explore real-world scenarios where GitHub Copilot for Azure can accelerate cloud projects and streamline daily development. Stay tuned for more scenarios as we continue to update this guide. View the full video playlist on YouTube. \n GitHub Copilot for Azure context improvements \n Before diving into the scenarios, take a moment to watch this quick video where Chris Harris, Product Manager for GitHub Copilot for Azure, highlights recent improvements that make the experience even smarter. \n In the demo, Chris showcases how GitHub Copilot for Azure now automatically gathers context—like installed extensions and details from your codebase—and uses that information in chat to deliver faster, more accurate responses without extra prompting. 🚀 \n \n GitHub Copilot for Azure scenarios \n Whether you're deploying containers, exploring AI services, or managing cloud infrastructure, GitHub Copilot for Azure can guide you every step of the way—right from within VS Code. The following scenarios show how you can streamline tasks, boost productivity, and accelerate your journey in Azure. \n Discovering Azure services and AI templates \n Dan is a developer, and he wants to deploy containers to Azure but doesn’t know where to start. Using GitHub Copilot for Azure in VS Code, he's guided through the process of selecting an Azure service for containers, given commands that can be used to deploy sample solutions, and even provided with samples that include Azure AI features he’d like to integrate into his solution. \n \n Deploying to Azure with context \n April developed a Django app in VS Code and plans to deploy it on Azure. Using GitHub Copilot for Azure, she found helpful documentation. She provided code context and prompts to the extension, which then gave necessary code changes and terminal commands to deploy the project on Azure. \n \n \n Understanding and managing your models in Azure AI \n Bethany, an AI Engineer, wants to work with the latest AI models on Azure alongside her team. She investigates all available Azure AI Services, checks if GPT-4o models are already deployed in her team’s subscription for potential reuse in development and testing, and finally explores deploying a new GPT-4o mini model. \n \n \n Exploring your Azure Resources \n Amy, an Azure Administrator, manages her team's subscriptions. She uses GitHub Copilot for Azure to explore her accessible subscriptions and deployed resource groups through natural language queries. She finds the Azure Resource Graph queries useful for immediate use or future reference. \n \n \n Planning a SQL Server migration to Azure \n Gwen, a cloud engineer, needs to migrate a SQL Server from an on-premises environment to the cloud, prioritizing HIPAA compliance and limiting downtime. GitHub Copilot for Azure suggests a suitable Azure service and tools like Azure Database Migration Service. It creates a migration plan with links and documentation. After deployment, the extension provides details of the deployed instances for her code. \n \n Deploying an app to Azure Kubernetes Service \n Dan needs to deploy a containerized application to Azure Kubernetes Service but needs to know how to get started creating a cluster. Using the GitHub Copilot for Azure and Azure Kubernetes Services extensions in VS Code, he’s able to create a new cluster without leaving the editor. Once the cluster is created, he can then use GitHub Copilot for Azure to help him deploy an app manifest. \n \n Deploy an app to AKS using Helm \n Dan wants to deploy his Apache Superset project to an Azure Kubernetes Service (AKS) cluster, heavily leveraging GitHub Copilot for Azure to streamline the process. With Copilot's guidance, Dan installs Helm dependencies, checks the status of his pods and services, and configures a load balancer service in AKS to access Superset externally. He successfully logs into Superset with the default credentials and explores dashboards and charts. \n \n Add Azure cache for Redis to an app \n Gwen is adding a cache to her Django app using GitHub Copilot for Azure to improve performance. She starts by building the app with azd, which sets up the environment, provisions resources, and deploys everything. With Copilot's guidance, Gwen configures her Django app to use Azure Redis Cache and after testing the cache functionality, she deploys the code changes and verifies everything is working in the Azure portal. \n \n Set token limits for your GenAI APIs \n Julia shares one of the common challenges encountered when managing GenAI applications – controlling token consumption to prevent unplanned usage. Using GitHub Copilot for Azure, she describes this issue in natural language, and Copilot provides ideas and Azure services to help limit token usage. She follows Copilot's guidance to implement a token limit policy, redeploys her API, and tests the changes. \n \n Azure Functions with OpenAI Extension \n Yohan is creating an API that generates poems using AI, leveraging Azure OpenAI bindings for Azure Functions with the help of GitHub Copilot for Azure. Copilot guides him through creating Azure resources, configuring his app, and deploying a GPT-4 Mini model. After updating his local settings and obtaining the endpoint and API key, he deploys his code to Azure and verifies everything is working. \n \n Deploy an AI RAG app to ACA using AZD \n Wassim received an urgent request to build a RAG prototype for an internal project and used GitHub Copilot for Azure to find a sample and deploy it to Azure Container Apps. After installing the extension in VS Code, he asked Copilot to find a LlamaIndex sample. He initialized his project, deployed the sample, and encountered a configuration issue. Copilot helped him fix it by suggesting changes to his Bicep file and container config. After redeploying, Wassim successfully ran the app. \n \n Conclusion \n GitHub Copilot for Azure is transforming how developers interact with Azure—making it easier than ever to explore services, deploy applications, and manage cloud resources without leaving VS Code. In this post, you've seen several scenarios where GitHub Copilot for Azure helps developers, admins, and engineers accelerate their workflows. Whether you're new to Azure or managing enterprise workloads, these examples show how natural language prompts like “@azure Help me...” can unlock powerful capabilities and enhance your overall efficiency and productivity. \n Ready to try it out? Download the extension from the VS Code Marketplace and start streamlining your Azure development today. https://aka.ms/GetGitHubCopilotForAzure \n To learn more about the new GitHub Copilot for Azure extension, check out the Streamline Your Azure Workflow: Introducing GitHub Copilot for Azure in VS Code blog post. 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