The .NET AI Stack: What's New, What's Next, and How It Fits Together
Presented by dotnet, this session offers a practical guide to navigating the .NET AI ecosystem and deciding which building blocks to reach for first. It is aimed at both developers getting started with AI and those already building AI-powered software.
How the building blocks fit together
The session examines the evolving .NET AI stack through examples and demos, covering:
- Model abstractions
- Data and retrieval
- Tools and AI agents
- Local inference
- Infrastructure that connects these components
The focus is on composing these pieces into useful applications rather than treating them as isolated capabilities. Alongside what is available today, the session explores patterns emerging across the ecosystem and possible future directions, helping developers build a clearer mental model for choosing and combining components.