CSharp-Coder

Learn generative AI in .NET with proven enterprise patterns: RAG, function calling, IChatClient, resilience and cost control. Start building with C# today. Generative AI in .NET has moved from experiment to production requirement. In 2026, most enterprise teams building on C# are being asked to add chat assistants, document summarization, or intelligent search to existing line-of-business apps. The hard part is not calling a model. The hard part is doing it in a way that survives a compliance review, a traffic spike, and a vendor price change. This guide covers the architecture patterns that work for generative AI in .NET enterprise applications, with runnable C# examples and the pitfalls that catch most teams on their first project. Why Generative AI in .NET Needs Real Architecture A prototype that calls an LLM from a controller action works on a laptop. It fails in production for predictable reasons: Vendor lock-in. Model providers change pricing, deprecate models, and releas...