VS Code Live: Extending Agent Mode
VS Code Live is a monthly livestream showcasing the latest updates in Visual Studio Code, with hands-on demos from the VS Code team and key partners. On June 12 (8 AM PST), we’ll dive into the VS Code 1.101 release, with a special focus on Extending Agent Mode. In this session, we’ll explore how to unlock its full potential using MCP servers and custom extensions. You’ll hear from experts at GitHub, Figma, and Netlify, and see a live demo of the new PostgreSQL extension. Join us live to learn from the people shaping the future of VS Code and see what’s coming next.How to use Comments as Prompts in GitHub Copilot for Visual Studio
GitHub Copilot is a coding assistant powered by Artificial Intelligence (AI), which can run in various environments and help you be more efficient in your daily coding tasks. In this new short video, Bruno shows you how to use inline comments to generate code with GitHub Copilot.Model Mondays Season 2: Learn to Choose & Use the Right AI Models with Azure AI
Skill Up on the Latest AI Models & Tools with Model Mondays – Season 2 The world of AI is evolving at lightning speed. With over 11,000 models now available in the Azure AI Foundry catalog—including frontier models from top providers and thousands of open-source variants—developers face a new challenge: How do you choose the right model for your task? That’s where Model Mondays comes in. What Is Model Mondays? Model Mondays is a weekly livestream and AMA series hosted on https://developer.microsoft.com/en-us/reactor/ and the Azure AI Foundry Discord. It’s designed to help developers like you build your Model IQ one spotlight at a time. Each 30-minute episode includes: 5-min Highlights: Catch up on the latest model-related news. 15-min Spotlight: Deep dive into a specific model, model family, or tool. Live Q&A: Ask questions during the stream or join the Friday AMA on Discord. Whether you're just starting out or already building AI-powered apps, this series will help you stay current and confident in your model choices. Season 2 Starts June 16 – Register Now! We’re kicking off Season 2 with three powerful episodes: 🔹 EP1: Advanced Reasoning Models 🗓️ https://developer.microsoft.com/en-us/reactor/events/25905/ 🔹 EP2: Model Context Protocol (MCP) 🗓️ https://developer.microsoft.com/en-us/reactor/events/25906/ 🔹 EP3: SLMs and Reasoning (Phi-4 Ecosystem) 🗓️ https://developer.microsoft.com/en-us/reactor/events/25907/ Why Should You Join? Stay Ahead: Learn about the latest models, tools, and trends in AI. Get Hands-On: Explore real-world use cases and demos. Build Smarter: Discover how to evaluate, fine-tune, and deploy models effectively. Connect: Join the community on Discord and get your questions answered. Quick Links 📚 https://aka.ms/model-mondays 🎥 https://aka.ms/model-mondays/playlist 💬 https://aka.ms/model-mondays/discord Bonus: Learn from Microsoft Build 2025 If you missed Microsoft Build, now’s the time to catch up. Azure AI Foundry is expanding fast—with new tools like Model Router, AI Evaluations SDK, and Foundry Portal making it easier than ever to build, test, and deploy AI apps. Check out http://aka.ms/learnatbuild for the top 10 things you need to know. Ready to Build? Whether you're exploring edge models, open-source AI, or fine-tuning GPTs, Model Mondays will help you level up your skills and build confidently on Azure. Let’s build our model IQ together. See you on June 16!Construa, inove e #Hacktogether!
🛠️ Construa, inove e #Hacktogether! 🛠️ 2025 é o ano dos agentes de IA! Mas o que exatamente é um agente? E como você pode criar um? Seja você um desenvolvedor experiente ou esteja apenas começando, este hackathon virtual GRATUITO de três semanas é sua chance de mergulhar no desenvolvimento de agentes de IA. 🔥 Aprenda com mais de 20 sessões lideradas por especialistas, transmitidas ao vivo no YouTube, abordando os principais frameworks, como Semantic Kernel, Autogen, o novo Azure AI Agents SDK e o Microsoft 365 Agents SDK. 💡 Coloque a mão na massa, explore sua criatividade e crie agentes de IA poderosos! Depois, envie seu projeto e concorra a prêmios incríveis! 💸 Datas importantes: Sessões com especialistas: 8 de abril de 2025 – 30 de abril de 2025 Prazo para envio do hack: 30 de abril de 2025, 23:59 PST Não perca essa oportunidade—junte-se a nós e comece a construir o futuro da IA! 🔥 Inscrição 🎟️ Garanta sua vaga agora! Preencha o formulário para confirmar sua participação no hackathon. Em seguida, confira a programação das transmissões ao vivo e inscreva-se nas sessões que mais te interessam. Após se inscrever, apresente-se e procure por colegas de equipe! Submissão de Projetos 🚀 Leia atentamente as regras oficiais e certifique-se de entender os requisitos. Quando seu projeto estiver pronto, siga o processo de submissão. 📝 Prêmios e Categorias 🏅 Os projetos serão avaliados por um painel de jurados, incluindo engenheiros da Microsoft, gerentes de produto e defensores de desenvolvedores. Os critérios de avaliação incluirão inovação, impacto, usabilidade técnica e alinhamento com a categoria correspondente do hackathon. Cada equipe vencedora nas categorias abaixo receberá um prêmio. 💸 Melhor Agente Geral - $20,000 Melhor Agente em Python - $5,000 Melhor Agente em C# - $5,000 Melhor Agente em Java - $5,000 Melhor Agente em JavaScript/TypeScript - $5,000 Melhor Agente Copilot (usando Microsoft Copilot Studio ou Microsoft 365 Agents SDK) - $5,000 Melhor Uso do Azure AI Agent Service - $5,000 Cada equipe pode ganhar em apenas uma categoria. Todos os participantes que submeterem um projeto receberão um badge digital. Transmissões 📅 Português Inscreva-se em todas as sessões em português Dia/Horário Tópico Recursos 4/8 12:00 PM PT Bem-vindo ao AI Agents Hackathon - 4/10 12:00 PM PT Crie um aplicativo com o Azure AI Agent Service - 4/17 06:00 AM PT Seu primeiro agente de IA em JavaScript com o Azure AI Agent Service - Outros Idiomas Teremos mais de 30 transmissões em inglês, além de transmissões em espanhol e chinês. Veja a página principal para mais detalhes. 🕒 Horário de Suporte Técnico Precisa de ajuda com seu projeto? Participe do Horário de Suporte Técnico no canal de Discord de IA e receba orientação de especialistas! 🚀 Aqui estão os horários de atendimento já agendados: Dia/Horário Tópico/Anfitriões Toda quinta-feira, 12:30 PM PT Python + IA (Inglês) Toda segunda-feira, 03:00 PM PT Python + IA (Espanhol) Recursos de Aprendizado 📚 Acesse os recursos aqui! Junte-se ao TheSource EHub para explorar os principais recursos, incluindo treinamentos, transmissões ao vivo, repositórios, guias técnicos, blogs, downloads, certificações e muito mais, atualizados mensalmente. A seção de Agentes de IA oferece recursos essenciais para criar agentes de IA, enquanto outras seções fornecem insights sobre IA, ferramentas de desenvolvimento e linguagens de programação. Você também pode postar perguntas em nosso fórum de discussões ou conversar com outros participantes no canal do Discord.GitHub Copilot for Azure: Deploy an AI RAG App to ACA using AZD
Recently, I had to develop a Retrieval-Augmented Generation (RAG) prototype for an internal project. Since I enjoy working with LlamaIndex, I decided to use GitHub Copilot for Azure to quickly find an existing sample that I could use as a starting point and deploy it to Azure Container Apps. Getting Started with GitHub Copilot for Azure To begin, I installed the GitHub Copilot for Azure extension in VS Code. This extension allows me to interact with Azure directly using the azure command. I used this feature to ask my Copilot to help me locate a relevant sample to use as a foundation for my project. After querying available Azure resources, the extension found a LlamaIndex JavaScript sample, which was ideal for my needs. I then copied the Azure Developer CLI (azd) command to initialize my project and set up my environment. Deploying the Sample to Azure Container Apps With the sample files downloaded, the next step was to deploy the application as-is to ensure everything functioned correctly. I asked my Copilot how to proceed, and it suggested running the following command: azd up . After executing the command, my sample was successfully deployed to Azure Container Apps. Now, it was time to test it! Debugging Deployment Issues with Copilot To verify that everything was working, I interacted with the app by entering my prompt. However, I encountered an issue—there was a missing configuration in the container. To troubleshoot, I shared the error message with the extension and asked for guidance. My Copilot suggested adding a specific line to my main.bicep file. I applied the change and then wondered if I also needed to pass the variable to my container as a runtime configuration. Again, I consulted Copilot, which confirmed that I should add the variable to the container configuration. After vibe copying and pasting the suggested change into my Bicep file, I was ready to redeploy. Redeploying and Final Testing To redeploy my updated configuration, I executed: azd deploy . The new revision of the app was successfully deployed. Time for another test! Success! The application responded correctly, confirming that my configuration updates worked as expected. Conclusion Using GitHub Copilot for Azure significantly accelerated my RAG prototype development by helping me find relevant resources, debug issues, and deploy my app seamlessly. If you’re building Azure-based applications, I highly recommend trying out this extension. You can download the GitHub Copilot for Azure extension in VS Code and give it a go yourself. If you do, share your feedback in the repo—I’d love to hear how it improves your workflow!
Measure and Mitigate Risks for a generative AI app in Azure AI Foundry
Join Microsoft Reactor on March 4th at 9 AM PST (6 PM CET) for an exclusive session on responsible AI strategies in Azure AI Foundry. Learn how to identify and mitigate AI risks using tools like Azure AI Content Safety and built-in safety monitoring. Engage in a live Q&A on Discord (March 5th) and participate in the Microsoft Learn Challenge (until March 11th). Led by April Speight, Principal Cloud Advocate at Microsoft, this session is essential for developers building trustworthy AI applications.Unlocking the Power of Azure Container Apps in 1 Minute Video
Azure Container Apps provides a seamless way to build, deploy, and scale cloud-native applications without the complexity of managing infrastructure. Whether you’re developing microservices, APIs, or AI-powered applications, this fully managed service enables you to focus on writing code while Azure handles scalability, networking, and deployments. In this blog post, we explore five essential aspects of Azure Container Apps—each highlighted in a one-minute video. From intelligent applications and secure networking to effortless deployments and rollbacks, these insights will help you maximize the capabilities of serverless containers on Azure. Azure Container Apps - in 1 Minute Azure Container Apps is a fully managed platform designed for cloud-native applications, providing effortless deployment and scaling. It eliminates infrastructure complexity, letting developers focus on writing code while Azure automatically handles scaling based on demand. Whether running APIs, event-driven applications, or microservices, Azure Container Apps ensures high performance and flexibility with minimal operational overhead. Watch the video on YouTube Intelligent Apps with Azure Container Apps – in 1 Minute Azure Container Apps, Azure OpenAI, and Azure AI Search make it possible to build intelligent applications with Retrieval-Augmented Generation (RAG). Your app can call Azure OpenAI in real-time to generate and interpret data, while Azure AI Search retrieves relevant information, enhancing responses with up-to-date context. For advanced scenarios, AI models can execute live code via Azure Container Apps, and GPU-powered instances support fine-tuning and inferencing at scale. This seamless integration enables AI-driven applications to deliver dynamic, context-aware functionality with ease. Watch the video on YouTube Networking for Azure Container Apps: VNETs, Security Simplified – in 1 Minute Azure Container Apps provides built-in networking features, including support for Virtual Networks (VNETs) to control service-to-service communication. Secure internal traffic while exposing public endpoints with custom domain names and free certificates. Fine-tuned ingress and egress controls ensure that only the right traffic gets through, maintaining a balance between security and accessibility. Service discovery is automatic, making inter-app communication seamless within your Azure Container Apps environment. Watch the video on YouTube Azure Continuous Deployment and Observability with Azure Container Apps - in 1 Minute Azure Container Apps simplifies continuous deployment with built-in integrations for GitHub Actions and Azure DevOps pipelines. Every code change triggers a revision, ensuring smooth rollouts with zero downtime. Observability is fully integrated via Azure Monitor, Log Streaming, and the Container Console, allowing you to track performance, debug live issues, and maintain real-time visibility into your app’s health—all without interrupting operations. Watch the video on YouTube Effortless Rollbacks and Deployments with Azure Container Apps – in 1 Minute With Azure Container Apps, every deployment creates a new revision, allowing multiple versions to run simultaneously. This enables safe, real-time testing of updates without disrupting production. Rolling back is instant—just select a previous revision and restore your app effortlessly. This powerful revision control system ensures that deployments remain flexible, reliable, and low-risk. Watch the video on YouTube Watch the Full Playlist For a complete overview of Azure Container Apps capabilities, watch the full JavaScript on Azure Container Apps YouTube Playlist Create Your Own AI-Powered Video Content Inspired by these short-form technical videos? You can create your own AI-generated videos using Azure AI to automate scriptwriting and voiceovers. Whether you’re a content creator, or business looking to showcase technical concepts, Azure AI makes it easy to generate professional-looking explainer content. Learn how to create engaging short videos with Azure AI by following our open-source AI Video Playbook. Conclusion Azure Container Apps is designed to simplify modern application development by providing a fully managed, serverless container environment. Whether you need to scale microservices, integrate AI capabilities, enhance security with VNETs, or streamline CI/CD workflows, Azure Container Apps offers a comprehensive solution. By leveraging its built-in features such as automatic scaling, revision-based rollbacks, and deep observability, developers can deploy and manage applications with confidence. These one-minute videos provide a quick technical overview of how Azure Container Apps empowers you to build scalable, resilient applications with ease. FREE Content Check out our other FREE content to learn more about Azure services and Generative AI: Generative AI for Beginners - A JavaScript Adventure! Learn more about Azure AI Agent Service LlamaIndex on Azure JavaScript on Azure Container Apps JavaScript at MicrosoftRAG Time: Ultimate Guide to Mastering RAG!
RAG Time is a brand-new AI learning series designed to help developers unlock the full potential of Retrieval-Augmented Generation (RAG). If you’ve been looking for a way to build smarter, more efficient AI systems—join us in RAG Time, every Wednesday 9AM PT from March 5 through April 2 on Microsoft Developer YouTube. What's in RAG Time? RAG Time is a five-part learning journey, with new videos and blog posts releasing every week in March. The series features: 🔥 Expert-led discussions breaking down RAG fundamentals and best practices 🎤 Exclusive leadership interviews with AI leaders ⚡ Hands-on demos & real-world case studies showing RAG in action 🎨 Creative doodle summaries making complex concepts easier to grasp and remember 🛠 Samples & resources in the RAG Time repository so you can start building today What You’ll Learn The series is structured into five learning journeys, each tackling a crucial aspect of RAG-powered AI: 📌 March 5th, 9AM PT - Journey 1: RAG and Knowledge Retrieval Fundamentals – Start with the basics! Learn how RAG, search indexing, and vector search work together to create smarter AI retrieval systems. 📌 March 12th, 9AM PT - Journey 2: Build the Ultimate Retrieval System for RAG – Go beyond the fundamentals with hybrid search, semantic ranking, and relevance tuning to refine how AI retrieves the most relevant information. 📌 March 19th, 9AM PT - Journey 3: Optimize Your Vector Index for Scale – Learn how to scale vector search efficiently, optimize storage, and implement advanced techniques like quantization and Matryoshka learning for large-scale AI applications. 📌 March 26th, 9AM PT - Journey 4: RAG for All Your Data: Multimodal and Beyond – Move beyond text-based retrieval! Discover how to integrate images, audio, and structured data into your RAG workflows and leverage multimodal pipelines for next-level AI capabilities. 📌 April 2nd, 9AM PT - Journey 5: Hero Use Cases for RAG – Explore real-world implementations, industry-leading examples, and best practices, while diving into Responsible AI considerations to ensure ethical and impactful solutions. Why You Should Watch If you're a developer, data scientist, or AI enthusiast, this series is built for you! Whether you’re just getting started or looking to master enterprise-grade retrieval systems, RAG Time delivers practical knowledge, hands-on resources, and expert insights to help you stay ahead. Journey starts here 🚀 Start your journey from the RAG Time repo: https://aka.ms/rag-time. You'll find all the information about the video series, samples, documentation and doodles in the repo! Share your experience and feedback on GitHub discussions.
