Most prompt engineering content out there assumes you’re writing Python. Jupyter notebooks, pip install, Conda environments — none of it maps to how most of us actually ship software.
If you’re a .NET developer who wants to build real AI-powered features — not toy demos — into your applications, I wrote a free ebook for exactly that: Prompt Engineering for .NET Developers.
Why I Wrote This
Every prompt engineering tutorial I found was Python-first. Meanwhile, Microsoft.Extensions.AI gives .NET developers a clean, unified abstraction over LLM providers — LM Studio, OpenAI, Azure AI Foundry — using the exact same IChatClient interface. There was no practical, runnable guide to prompt engineering that met C# developers where they already live.
So I built one.
What’s Inside
Seven focused chapters, each ending in a runnable C# project:
- The .NET Developer’s AI Landscape — the cost spectrum and Microsoft’s AI stack
- Setting Up Your AI Dev Environment — LM Studio, OpenAI, Azure AI Foundry, all via the same interface
- How LLMs Work — just enough theory to write better prompts, no transformer lecture
- Anatomy of a Great Prompt — you’ll build a fluent PromptBuilder class
- Core Prompting Techniques — zero-shot, few-shot, chain-of-thought, and how to handle sycophancy (the silent failure mode where the model just tells you what you want to hear)
- Structured Outputs and Advanced Patterns — defensive JSON parsing, streaming, resilience
- Prompt Patterns for Real Developer Workflows — you’ll carry PromptBuilder into DevToolkit, a console app that does AI-powered code review, test generation, commit messages, and docs
No Jupyter. No Python. Just dotnet new console and code that runs.
Try It in 5 Minutes
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git clone https://github.com/taswar/PromptEngineeringForDotNetDevelopers cd PromptEngineeringForDotNetDevelopers/chapter-04/src/PromptBuilder dotnet run |
That’s the PromptBuilder fluent class from Chapter 4, running against a local model — zero API cost.
Get It
- 📥 Download free on Leanpub (pay-what-you-want, including $0)
- ⭐ Star it on GitHub if it’s useful — it’s the best free way to help other .NET devs find it
- 🐛 Found a typo or have a suggestion? Open an issue
If you’ve been putting off learning prompt engineering because every guide assumes Python, this is for you. Would love to hear what you build with it — drop a comment or open a GitHub discussion.
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