CSharp-Coder

Learn generative AI in .NET with proven enterprise patterns — RAG, Semantic Kernel, streaming, and resilience in C#. Start building smarter apps today. Generative AI in .NET has moved from experiment to expectation. In 2026, enterprise teams across the USA, UK, Canada, Australia, and India are being asked to ship AI copilots, document summarizers, and intelligent search into existing C# applications — and to do it with the same reliability standards as any other production service. The problem? Most tutorials show you how to call an LLM API in ten lines, then leave you alone with the hard parts: architecture, grounding, resilience, cost control, and testing. This guide covers the architecture patterns that actually matter when you integrate generative AI into .NET enterprise apps: the abstraction layer, Retrieval-Augmented Generation (RAG), streaming, tool calling, and the operational guardrails that keep an AI feature from becoming a production incident. Every example is runna...