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

But the code is just our starting point!

We'll explore some tough questions, like:
What is the best way to let Agents solve issues in collaboration?
What happens to an Agent if you let it evolve, and how do you actually solve evolution?
What is the best way to handle memory for Agents?
Can Agents do a good job reasoning over complex topics, such as economic facts?
How do we handle web requests most economically? As those cost more tokens than anything else we can do with an AI system!
And of course, we have to discuss the best current models for building Agentic systems!

These are not theoretical puzzles. They are 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.

Join this session for tons of hard learned insights and a cool demo to inspire you!