Agents are small, goal driven, AI systems, that can act on the user's behalf.

In this session, we'll dive deep into the intricacies of pro-code Agents based in the .NET ecosystem and Azure. With Microsoft Agent Framework as the AI SDK of choice, using models hosted in Azure Foundry.

But the code is just our starting point!

We'll explore some really hard questions, like:
What is the best way to let Agents solve issues in collaboration?
What happens to an Agent if you let it evolve over time, and how do you actually solve evolution?
What is the best way to handle memory for Agents?
How do we best handle web requests?
And of course, we have to discuss what the best current available models are for building Agentic systems!

These are some real-world challenges when building agentic systems that interact with the world, whether through .NET logic or calling external MCP services. Expect surprising outcomes, hard-earned lessons, and a few dragons along the way.

Conceptually very advanced, an amount of LLM working knowledge is good to have.