Microsoft Reactor
Termine
Model Mondays - From Research to Reality: Discovering Microsoft's AI Innovations in F
Foundry Labs is where developers can explore the latest AI innovations emerging from Microsoft Research and Microsoft AI. In this episode, we'll look at how experimental models and research projects make their way from breakthrough ideas to real-world impact. We'll then take a closer look at one of these experiments, Fara1.5 - a family of small but powerful computer-use models designed for browser automation that can navigate websites, fill forms, and complete multi-step tasks, while setting new state-of-the-art performance among models in its class. Learn how to evaluate models, compare performance across providers and model families, and dynamically route requests to the model best suited for each task. Through discussions and demos, we'll show how model router helps agents improve quality, efficiency, and cost by treating model selection as an ongoing optimization process rather than a one-time decision.
Agent Build Along Series: Build Your 1st Agent
Join this interactive, hands-on session where you'll learn how to design, build, and test your own AI agents using practical, real-world techniques. From defining an agent’s purpose and goals to connecting the right data and knowledge sources, you'll gain a step-by-step framework for creating intelligent solutions that deliver meaningful outcomes. Through guided exercises and live demonstrations, you'll explore how to evaluate agent performance, refine behavior, and adapt agents to real business scenarios. Whether you're just getting started or looking to enhance existing solutions, you'll leave with a working agent, a repeatable development approach, and the confidence to apply AI agents to solve everyday business challenges.
Build Your First Microsoft Foundry Agent: Executive Briefings from Technical Updates
Build and deploy a focused AI agent that turns complex technical updates into concise, business-ready executive briefings. Starting with a hosted-agent scaffold in VS Code, you will define agent instructions, test realistic incident scenarios in Agent Inspector, and deploy the completed agent to Microsoft Foundry Agent Service. Learnings: How to scaffold a Python hosted agent with the Foundry extension How to test agent behavior locally, including safety-boundary prompts How to deploy and validate the agent in the VS Code and Foundry playgrounds.
Modernize your .NET applications in days using GitHub Copilot
Modernizing apps isn’t just rewriting code—it’s untangling dependencies, tracing data flows, and making changes without breaking production. In this session, we’ll show how you can use agentic AI to take on the hardest parts of modernization: analyzing large codebases, mapping dependencies, planning upgrades, refactoring safely, while doing it all at scale. With the GitHub Copilot modernization agent, you can move from legacy complexity to modernized apps in days, not months.
CoreStory: Garbage Context In, Garbage Code Out- Fixing AI’s Real Problem
Plenty of experienced developers don’t trust AI-generated code, and on a large codebase the agent has never understood they’re right not to. The problem isn’t the model; it’s the missing context. Without a structured, current understanding of the codebase, agents hallucinate, duplicate logic that already exists, and introduce changes no one asked for. This session takes the skepticism head-on and shows what changes when developers and their AI agents work from a persistent intelligence layer grounded directly in the code: fewer hallucinations, fewer regressions, and output a developer can actually review and trust. Built for the engineer who wants AI to earn its place in the workflow, not just be mandated into it.
Build a Multi-Agent Career Copilot: Resume-to-Job Fit Analysis
Take the next step from a single agent to an orchestrated multi-agent workflow. Build a Resume-to-Job Fit Evaluator that processes a resume and job description, extracts requirements, scores alignment, identifies gaps, and creates a personalized learning roadmap with Microsoft Learn resources.
Connecting Agents to Your Productivity Data with Work IQ
Work IQ brings real workplace context into your agents. In this session, we’ll show how to connect agents to Microsoft 365 data such as emails, meetings, documents, and collaboration signals, and how that context is surfaced in an agent-ready way. You’ll learn practical patterns for grounding agents in how work actually happens, enabling more relevant, personalized, and context-aware interactions across your organization.
Meet Your Claw: A Harness in Three Lines of C#
One call to AsHarnessAgent gives us the whole agentic loop. From there we add the first three abilities: a custom get_stock_price tool, the built-in web search for market news, and planning with a todo list plus plan and execute modes. That is enough to turn a vague request like “review my watchlist and suggest something to add” into a tracked, step-by-step plan. We wire the agent to a Microsoft Foundry chat client, run it in the shared harness console, and set up the companion repo so everyone starts on the same SDK version.
Aufzeichnungen
CoreStory: Building with AI in Systems You Don’t Fully Understand
Most organizations aren't building on greenfield applications. They're building on decades of accumulated code, integrations, and undocumented business logic. As AI becomes a core part of software delivery, teams face a new challenge: how do humans and AI agents work effectively in systems nobody fully understands? This session explores the hidden costs of system ambiguity, compares common approaches to understanding legacy environments, and discusses how organizations can create a persistent intelligence layer with CoreStory that enables safer modernization, faster onboarding, and more confident AI-assisted development.
What Is Microsoft Foundry Toolkit for VS Code? What’s New and How to Get Started
Explore the Microsoft Foundry Toolkit for VS Code and how it streamlines the development lifecycle for Microsoft Foundry hosted agents. Learn what the toolkit adds to your VS Code workflow, from agent scaffolding and model configuration to local debugging with Agent Inspector and deployment to Microsoft Foundry Agent Service. In addition, see the latest capabilities and experience improvements. Learnings: What Microsoft Foundry Toolkit for VS Code is and how it works. What’s new in the VS Code agent-development experience How to scaffold, configure, and run hosted agents locally.
Model Mondays - Spotlight On Model router in Microsoft Foundry
AI agents rarely rely on a single model to solve every task. In this episode of Model Mondays, we'll explore how model router helps developers apply a hill-climbing approach to agent development by continuously finding better models for different steps in a workflow. Learn how to evaluate models, compare performance across providers and model families, and dynamically route requests to the model best suited for each task. Through discussions and demos, we'll show how model router helps agents improve quality, efficiency, and cost by treating model selection as an ongoing optimization process rather than a one-time decision.
Building Serverless Knowledge Bases with Foundry IQ
Learn how to build and scale knowledge bases without managing the underlying infrastructure. In this session, we'll explore how Foundry IQ simplifies ingestion, indexing, and retrieval through a serverless experience designed for agent development. You'll see how to quickly ground agents in enterprise knowledge and accelerate development while reducing operational overhead.
Model Mondays - Cohere for Agentic AI: Models, Demos, and the Path to Optimized Agent
Join us for a hands-on tour of Cohere's model family and how each piece fits into building optimized agentic experiences. We'll cover Command A for reasoning and native tool-use, Embed 4 for multimodal retrieval, and Rerank for precision search, then show how they combine in real agent workflows. Live demos throughout will show each model in action and how to pair them for production-ready agents.
Let the Agent Write It—But Can It Scale?
AI coding agents can generate working code quickly, but working code isn't always production-ready code. This session focuses on reviewing agent-generated Azure Cosmos DB code for scalability, RU efficiency, indexing strategy, and long-term maintainability.
Model Mondays - Spotlight on Microsoft AI Models
At Microsoft Build, we announced a family of seven new models developed in-house at Microsoft AI. These models form a new multimodal ecosystem designed to work across a variety of real-world tasks - with models to support image, voice, transcription, coding, and reasoning. Join us as we talk to the Microsoft AI models team about what's new in the MAI family, how this works under the hood, and what we can do to use them more effectively for building AI agents.
Frequently Asked Questions
Ein Microsoft Reactor ist ein Gemeinschaftsraum, in dem sich Developer und andere technische Fachleute, lernen und vernetzen können, mit lokalen Kollegen als auch Partnern und der Open-Source-Community.
Mit einer vielfältigen Mischung ist für jeden etwas dabei – egal, ob du gerade erst anfängst oder bereits an komplexen Projekten arbeitest.
Die Microsoft Reactor-Angebote dienen dazu, eine Community zu schaffen, die sich mit der Technologie von Microsoft, aus dem Open-Source-Bereich und von anderen Partnern beschäftigt. Das Ziel ist es, erstklassige, lokale Inhalte für ein engagiertes technisches Publikum anzubieten.
Microsoft Reactor ist von und für Entwickler- und Startup-Communities in jeder Region. Sie sind darauf ausgerichtet, Developern zu helfen, ihre persönlichen oder beruflichen Technologie-Interessen zu vertiefen.
Microsoft Reactor hat sowohl virtuelle als auch Vor-Ort-Termine im Programm. Für beide Arten genügt eine kurze Registrierung auf der Eventseite des Termins..
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