AI is becoming a core part of modern application development, and .NET offers a practical, incremental way to get started. In this session, you'll learn how to build intelligent .NET applications by adding useful AI capabilities—well beyond the chatbot—using https://msft.it/63329agwPD and .NET’s unified AI abstractions. We'll start with the essentials: integrating large language models, adding features like summarization, classification, and semantic search, and working with both cloud-hosted and local models in a maintainable, production-ready way. You'll see concrete patterns for introducing AI into existing applications with minimal friction. You'll also learn how to ensure quality and governance as you integrate AI into your enterprise. From there, we'll look at how these same foundations scale into more advanced, agentic solutions. You'll get an introduction to agentic development and see how the Microsoft Agent Framework enables applications to reason, plan, and take action using tools and workflows. Whether you're just beginning with AI in .NET or preparing for more autonomous, agent-driven systems, this session provides a clear roadmap from practical AI features to agentic architectures. Connect with .NET: Blog: https://msft.it/63321agwP1 Twitter: https://msft.it/63323agwPH TikTok: https://msft.it/63324agwPy Mastodon: https://msft.it/63325agwPJ LinkedIn: https://msft.it/63326agwPK Facebook: https://msft.it/63327agwPz Docs: https://msft.it/63328agwPM Forums: https://msft.it/63329agwP3 🙋‍♀️Q&A: https://msft.it/63320agwPO 👨‍🎓Microsoft Learn: https://msft.it/63322agwPu #dotnet

Union types are coming to C#! Unions model closed sets of data shapes, as commonly seen in e.g. wire protocols. Mads and Dustin explore the clean expression of intent and the confidence and elegance that unions lend to consuming code. We'll also take a look at other recent and upcoming C# features, such as extension members and closed classes. You will learn: Find out what's coming to the next version of C# How to express closed sets of types with unions How to add new members to existing types with extension members Connect with .NET: Blog: https://msft.it/63321a5587 Twitter: https://msft.it/63325a55DB TikTok: https://msft.it/63326a55D8 Mastodon: https://msft.it/63327a55DD LinkedIn: https://msft.it/63328a55DE Facebook: https://msft.it/63329a55D1 Docs: https://msft.it/63320a55DG Forums: https://msft.it/63321a55DH 🙋‍♀️Q&A: https://msft.it/63322a55Dy 👨‍🎓Microsoft Learn: https://msft.it/63323a55DJ #dotnet

Using the same engine behind Copilot in the CLI, you can add AI behavior directly into your own apps using GitHub Copilot SDK. We’ll build a small AI-powered app from scratch, connect it to a few tools, and talk through what works well, what can go wrong, and how to keep things under control. This session is focused on real demos and practical patterns you can actually use.

You've built the databases. You've protected them. Now everyone wants AI to talk to them — and they're looking at you to make it happen. SQL MCP Server is how you do it safely. Built on Data API builder (DAB), it creates a governed bridge between AI tools like GitHub Copilot and your SQL Server, Azure SQL, or Fabric SQL Database using the Model Context Protocol (MCP). You decide what gets exposed — tables, views, stored procedures — through a typed, RBAC-enforced layer that agents query without ever touching raw SQL. We'll dig into how it works under the hood, walk through the security controls you already care about, and show you how your existing SQL skills are exactly what's needed to put AI to work on your data.