If you're a .NET developer looking to break into AI engineering, agents are the single best place to start. They're the point where "calling an LLM API" turns into "building a system that reasons, uses tools, and takes action" — and Azure AI Foundry Agent Service, paired with .NET, makes this surprisingly approachable.
In this post, I'll walk through exactly how to stand up your first agent end-to-end — from the Azure side setup to the actual C# code — and share the full walkthrough in video form as well.
Why Agents, and Why Now
Most of us started our AI journey with a simple chat completion call — send a prompt, get text back. That's fine for Q&A, but it falls apart the moment you need the model to do something: run code, search documents, call an API, or hold a multi-turn conversation with real state.
That's exactly the gap Foundry Agent Service closes. An agent in Foundry is:
