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Most prompt engineering books are written in Python. This one is not. If you write C# every day and you want to build real AI-powered features into your .NET applications, this book is for you.

Prompt Engineering for C# Developers takes you from your first IChatClient.GetResponseAsync() call to production-ready workflows across seven focused chapters. No Python. No Conda. No hedging. Just dotnet new console and working code that runs against local models (LM Studio), OpenAI, or Azure AI Foundry — using the exact same C# interface.

You will learn:

How LLMs actually work — tokens, context windows, temperature — enough theory to write better prompts, not a transformer architecture lecture
The 5-part prompt anatomy and the two foundational principles that hold up across every model generation
Core techniques: zero-shot, few-shot, chain-of-thought (and why \"think step-by-step\" is now largely obsolete advice)
How to handle sycophancy — the silent failure mode where the model tells you what you want to hear
Structured JSON output with defensive parsing, streaming, and resilience patterns using Microsoft.Extensions.Resilience
Real developer workflows: code review, unit test generation, commit messages, and documentation — all as reusable service patterns

Every chapter ends with a runnable C# project. You build a PromptBuilder fluent class in Chapter 4 and carry it through to Chapter 7's DevToolkit — a menu-driven console app that does code review, test generation, commit messages, and doc generation from a single IChatClient.

The book targets .NET 10 and uses Microsoft.Extensions.AI (MEAI) throughout. Honest about limitations. Direct about tradeoffs. Written for developers who ship real software and have opinions about it.

By the end, you will have working patterns for the things developers actually do with AI — not the demos that look good on stage, but the code that survives your next PR review.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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