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AI Agents in C# with Semantic Kernel: Full Tutorial

Learn how to build AI agents in C# using Semantic Kernel. Step-by-step tutorial with runnable code, best practices, and pitfalls. Start building today! Building AI agents in C# used to mean wiring up raw HTTP calls to a large language model and parsing JSON by hand. Today, Microsoft's Semantic Kernel gives .NET developers a production-ready framework for creating autonomous task-solving agents that can reason, call your code, and chain multiple steps together to complete real work. In this tutorial you'll learn how to build AI agents in C# from scratch using the Semantic Kernel Agent Framework, with runnable code examples, best practices, and the common pitfalls to avoid. Whether you're a beginner searching for "how to build an AI agent in C#," an intermediate developer looking for Semantic Kernel best practices, or a senior engineer designing advanced agent architectures in .NET, this guide covers the full picture รข€” and explains why each piece matters...