Prompting .NET for AI Application Development

The Future of . NET Development Is Not AI Integration. It is AI Engineering.

Most . NET developers can call an AI, API. Very few can build AI features that hold up in production. Prompting . NET for AI Application Development treats prompting as engineering — something that belongs inside service boundaries, typed contracts, secure configuration, and observable workflows, not inside a demo that ships once, and breaks quietly.

Starting from prompt design and environment setup, the book builds progressively through . NET architecture patterns, Semantic Kernel orchestration, structured outputs, and integration across ASP. NET Core, Blazor, and . NET MAUI. RAG pipelines, output validation, guardrails, cost controls, and deployment follow — each grounded in practical . NET code and real implementation decisions.

Two complete production scenarios bring it together: An AI-powered e-commerce platform and an intelligent enterprise dashboard. By the end of the book, you will build, harden, and operate . NET AI features that remain reliable when providers fail, inputs change, and applications scale.

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