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Track Type Title Links Abstract
Developer Tools & Frameworks Breakouts BRK207: GitHub Copilot in Visual Studio: Agents That Debug, Profile, and Test Repo | Session Page Every IDE has agentic code generation now, but Visual Studio goes further with built-in agents that tackle what code generation can't. In this demo-heavy session, you'll see agents root-cause bugs using live runtime behavior, pinpoint performance bottlenecks and recommend targeted fixes, and build test coverage to catch regressions before they ship. These aren't just code-writing agents. They help enterprise C#, .NET, and C++ developers improve code quality with expert-level diagnostics.
Developer Tools & Frameworks Breakouts BRK203: From CLI to PR: Automating the path to merged code Repo | Session Page Everyone talks about agents, but the real challenge is applying them to daily sprints. Moving beyond chat, we'll show how GitHub Copilot functions as an agentic partner in your workflow by live-coding a full cycle—from planning in the terminal to delegating work to the cloud and automating PR reviews. No high-level abstractions here. Just technical mechanics: context management, advanced features with Copilot CLI, and the patterns that make agentic workflows actually stick.
Developer Tools & Frameworks Breakouts BRK206: Your agent, anywhere: MultiClient, MultiDevice with GitHub Copilot SDK Repo | Session Page Agents are powerful on your machine, but what happens when you need them everywhere else? In this session, we'll show how GitHub Copilot SDK lets you build an agent, embed it in an app, and take it with you across devices and into the cloud. You'll see how to go from a local agent to one you can access on your phone, move between machines, and run across multiple clients. If you've been working with agents locally and wondering what the next step looks like, this is it.
Developer Tools & Frameworks Lab LAB501: From zero to deployed on Azure with AI agents Repo | Session Page What happens when you let AI agents do the building? In this hands-on lab, you'll go from an empty terminal to a deployed app on Azure — with GitHub Copilot CLI and coding agents handling the scaffolding, coding, debugging, and deployment. You'll use the new Azure skills to provision resources and wire up services through natural language, no portal required. This isn't a demo you watch. You'll walk out with a real, working dev workflow you can take straight to your next project.
Cloud Platform & Data Breakouts BRK221: Idea to production-ready agent in seconds on AI-native runtime Repo | Session Page Agentic apps behave differently from traditional services. They make decisions, coordinate steps, and react to changing inputs. This session shows how to run agentic workloads on a fast, AI native runtime on Azure Container Apps. The focus is on reliability and speed so you can move from idea to production-ready agents. We’ll cover patterns for deployment, configuration, safe scaling for bursty traffic, and observability so teams can run agentic systems in production without surprises.
Cloud Platform & Data Breakouts BRK222: The honest practitioner's take on agentic AI on Kubernetes Repo | Session Page Agentic AI workloads don't behave like normal services. They're stateful, bursty, multi-step, and often span more than a single cluster. Most teams figure this out the hard way. This session is for developers building agentic AI in production. We'll show you how to get the most out of Kubernetes for training, inference, and agent orchestration, covering purpose-built tooling, managed options, open-source inference at scale, and AI-assisted dev tools that support real-world AI operations.
Cloud Platform & Data Breakouts BRK223: From rows to reasoning: Designing databases for AI apps and agents Repo | Session Page AI applications and agents require data platforms designed for reasoning, not just transactions. Traditional architectures force developers to stitch data systems together, adding latency and complexity. In this demo-rich session, we’ll show the latest innovations in SQL Database and Cosmos DB, then build an app on Azure HorizonDB, Azure’s new cloud-native PostgreSQL service, to show how AI apps built directly in the database simplifies design and enables reasoning over operational data.
Track Type Title Links Abstract
Agents & Apps Breakouts BRK240: Build context-aware agents at scale with Microsoft IQ Repo | Session Page High performance agents are built on intelligence that brings together context, enterprise data, orchestration, and governance. Learn how Foundry IQ, Fabric IQ, and Work IQ provide the enterprise intelligence layer for AI agents. Design agents that can search across organizational knowledge, reason over business data, and operate with awareness of people and work signals. Take action within trusted boundaries, providing a practical foundation for building scalable and reliable agents.
Agents & Apps Breakouts BRK241: From prototype to production: build and run agents at scale Repo | Session Page AI agents are transforming how developers build software—but shipping production-grade agents demands more. This session walks through the end-to-end lifecycle of building AI agents with Foundry Agent Service and Microsoft Agent Framework. See how to go from local prototyping to enterprise-grade hosted deployment with identity, secure networking, evaluations, and lifecycle management. Learn how coding agents like GitHub Copilot integrate directly into the workflow.
Agents & Apps Breakouts BRK243: Claw and agent harness in Microsoft Foundry Repo | Session Page Go deep on multi-agent systems built on Microsoft Foundry, featuring Claw agent patterns and the hosted agents architecture. Explore long-running agents with triggers, state management, and file access—all natively supported on Foundry. See how coding agents built with GitHub Copilot SDK and Claude Agent SDK integrate into multi-agent workflows using Microsoft Agent Framework. Learn how to coordinate, host, and operate these systems with observability and continuous evals.
Working with Models Breakouts BRK230: Build smarter AI Systems in Foundry as models and costs evolve Repo | Session Page Discover how to quickly choose, integrate, and validate AI models inside Microsoft Foundry. Learn techniques for navigating thousands of model options, benchmarking performance, and streamlining your workflow with deep IDE support. Build faster, ship smarter, and stay on top of the evolving AI landscape.
Working with Models Breakouts BRK231: Deploy. Observe. Learn. Reinforcement learning for production agents Repo | Session Page Agents don't fail in demos — they fail in production. In this breakout, see how teams use fine-tuning and reinforcement learning on Microsoft Foundry to improve production agents using real usage signals. We cover when fine-tuning reduces cost and latency, when RL delivers deeper gains, and how Foundry makes it easy to train, evaluate, and redeploy safely. Johnson & Johnson shares their journey from RL experiments to production.
Working with Models Lab LAB520: Get Started with Models in Microsoft Foundry to Build AI Apps Repo | Session Page In this hands-on lab, you will build a production-ready AI application using Microsoft Foundry, with no fine-tuning or deep machine learning expertise required. You will discover and select models, provision a Foundry project, and connect to a hosted model using the OpenAI SDK. You’ll implement a comment moderation workflow, compare model outputs, and package the solution as a hosted agent using Python, ready for real-world integration.
Responsible AI Breakouts BRK252: From observability to ROI for AI agents on any framework Repo | Session Page Nondeterministic, multi-agent systems break traditional monitoring. As agents reach production, observability must be built in—not added after failures. This session covers modern agent observability: cross-framework tracing and evals, rigorous inner-loop practices, evolving context-specific evals, and always-on signals that connect behavior to business outcomes to measure value, cost, and ROI.
Responsible AI Lab LAB540: Observe, optimize and protect your hosted agents in Microsoft Foundry Repo | Session Page Modern agents fail in ways traditional monitoring can’t catch. In this hands-on lab, learn how Microsoft Foundry Observability helps you move from prototype → production with context-specific evaluation suites (auto-generated evaluators + test datasets) wired into developer workflows via skills/MCP tooling for hosted agents. Then scale quality with continuous evaluation, trace-linked analysis, and adaptive red teaming—and walk away with a sandbox to explore additional features on your own.

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