Stage 2 Handbook: Prompting & Context Engineering
A practical handbook for mastering prompting and context engineering. Learn how to design system prompts, structure information, and scale beyond simple prompt hacks. Part of the 8‑Stage LLM Engineering Roadmap. For those who haven’t covered the fundamentals yet, the Stage 1 Handbook is recommended.
The Stage 2 Handbook: Prompting & Context Engineering is your complete guide to designing prompts and context structures that produce reliable, scalable results. This stage goes far beyond simple prompt tricks. You’ll learn how to optimize system prompts, reduce ambiguity, structure information, and manage context windows in a way that holds up in real‑world applications.
Inside, you’ll find four focused articles covering practical prompting techniques, system prompt design, automated prompt optimization, and the fundamentals of context engineering. This handbook is the bridge between experimentation and production‑grade reliability.
If you haven’t completed Stage 1 yet, I recommend starting with the Foundations Handbook, which covers the core concepts every LLM builder needs before diving into prompting. And if you want a full overview of all eight stages, you can explore the roadmap article linked on this page.
Why this stage matter
Prompting is where most developers begin, but it’s also where many get stuck. Simple prompt tweaks can only take you so far. Real‑world systems require structured context, optimized system prompts, and scalable patterns that go beyond clever phrasing.
Stage 2 bridges the gap between experimentation and engineering. You’ll learn how to design prompts that hold up under pressure, manage context windows intelligently, and build interactions that remain stable as your application grows.
Format: Digital download (PDF)
Build prompts that scale. Design context that works. Move from hacks to engineering.
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Reviews
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This handbook gave me a completely different perspective on working with LLMs. I used to think prompt engineering was the most important skill, but now I understand why the industry is shifting toward context engineering and how all these concepts fit together.
The explanations of system prompts, prompt chaining, and context engineering are clear, practical, and easy to follow. It’s a great continuation of Stage 1.
Thank you for creating such a clear and well-structured learning resource. It has made my learning journey much easier and more enjoyable. -
As a data scientist, I find the content quite useful especially with the examples. I particularly enjoy the writing style from the newsletter, which is why I decided to purchase the handbook, very clear, easy to read and understand. Formatting wise it is very easy on the eyes and good separation of sections. Would recommend for fellow data scientists and engineers who are now also learning on GenAI on their own.
