Prompt engineering has become a core skill for modern developers building with large language models. Mastering Prompt Engineering for Developers is a practical, code-focused guide that teaches you how to design prompts that produce reliable, accurate, and production-ready results across real AI applications.
This book moves beyond basic prompt tips and shows you how to treat prompts as engineering artifacts-designed, tested, versioned, and optimized just like code.
What You'll Learn✔ How large language models interpret prompts and context
✔ Core prompt patterns for reasoning, extraction, transformation, and generation
✔ Techniques for improving accuracy, consistency, and determinism
✔ Structuring prompts for multi-step workflows and automation
✔ Prompt chaining, tool use, and function-based prompting
✔ Handling edge cases, failures, and hallucinations
✔ Integrating prompts into real applications, agents, and pipelines
✔ Versioning, testing, and maintaining prompts at scale
✔ Practical automation frameworks used in production systems
Software developers and engineers
AI application builders
Data scientists working with LLMs
Automation and workflow engineers
Product builders integrating AI features
Anyone who wants predictable, controllable AI behavior
Why This Book WorksMost resources treat prompt engineering as trial-and-error. This guide treats it as software engineering. Every technique is explained with clarity, structure, and real-world relevance, helping you build AI systems that behave consistently under real production constraints.
By the end of this book, you'll have a repeatable system for designing, testing, and deploying prompts that power intelligent, scalable, and maintainable AI applications.
If you want to move from guesswork to engineering discipline in your AI work, Mastering Prompt Engineering for Developers is the guide you've been looking for.