The .NET AI Stack: What's New, What's Next, and How It Fits Together
Tuesday, November 10
– PST
Luis Quintanilla
.NET developers have more AI building blocks than ever: model abstractions, data and retrieval, tools, agents, local inference, and the infrastructure that connects them. But how do these pieces fit together, and which ones should you reach for first? In this session, we'll take a practical look at the evolving .NET AI stack: what's available today, the patterns emerging across the ecosystem, and where things may be heading next. Through a combination of examples and demos, we'll explore how the pieces can be composed into useful applications. Whether you're just getting started or already building AI-powered software, you'll leave with a clearer mental model for navigating the .NET AI ecosystem and building what comes next.
