Prompt Engineering in Practice
Will be published approx. on 27. October 2026
Book
Paperback/Softback
225 pages
978-1-63343-630-5 (ISBN)
Description
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Anyone who’s tried to build software on top of an LLM knows that prompts are unpredictable, demanding the exact same discipline and systematic approach as the rest of the engineering stack. This book shows you how to design, refine, and manage prompts using proven patterns and practical techniques drawn from real-world AI development.
The book introduces a systemic approach to prompt engineering based on industry usage and AI research. You’ll learn how to structure your objectives, take advantage of contextual details, apply systematic prompt patterns, and even pick the right model for your task. The techniques are model-agnostic, require no machine learning background, and are demonstrated through practical prompt examples and real-world scenarios.
You’ll appreciate author Richard Davies’ explanation of prompt design patterns and templates that you can customize for your own needs. Learn from real-world cases and examples drawn from the kinds of tasks software engineers actually perform, from generating pull request descriptions and incident summaries to using LLMs for data annotation, classifying tech support tickets, and building custom chatbots.
What's inside
• Mitigate hallucinations in LLM output
• Automated prompting techniques for AI agents
• Contextual prompting, prompt sampling, and advanced prompt patterns
• Prompt security and managing prompts in production
• Apply reusable prompt patterns and templates to real-world tasks
About the reader
No special skills with AI or machine learning required. Code examples are in Python.
About the author
Richard Davies is the CTO of Vance, an artificial intelligence US-based startup in the business obligations and observance space. With over 6 years of industry experience, he specializes in developing cutting-edge AI products, including real-time semantic segmentation systems, activity detection algorithms, and machine translation platforms.
Rafael Fischer, PhD, is a Generative AI Software Engineer with over 6 years of experience designing and delivering scalable AI-powered products for companies in the US, Europe, and Brazil. He specializes in building full-stack, product-oriented solutions that integrate LLMs, agentic workflows, and secure, cloud-native architectures to create intuitive, high-impact user experiences.
Anyone who’s tried to build software on top of an LLM knows that prompts are unpredictable, demanding the exact same discipline and systematic approach as the rest of the engineering stack. This book shows you how to design, refine, and manage prompts using proven patterns and practical techniques drawn from real-world AI development.
The book introduces a systemic approach to prompt engineering based on industry usage and AI research. You’ll learn how to structure your objectives, take advantage of contextual details, apply systematic prompt patterns, and even pick the right model for your task. The techniques are model-agnostic, require no machine learning background, and are demonstrated through practical prompt examples and real-world scenarios.
You’ll appreciate author Richard Davies’ explanation of prompt design patterns and templates that you can customize for your own needs. Learn from real-world cases and examples drawn from the kinds of tasks software engineers actually perform, from generating pull request descriptions and incident summaries to using LLMs for data annotation, classifying tech support tickets, and building custom chatbots.
What's inside
• Mitigate hallucinations in LLM output
• Automated prompting techniques for AI agents
• Contextual prompting, prompt sampling, and advanced prompt patterns
• Prompt security and managing prompts in production
• Apply reusable prompt patterns and templates to real-world tasks
About the reader
No special skills with AI or machine learning required. Code examples are in Python.
About the author
Richard Davies is the CTO of Vance, an artificial intelligence US-based startup in the business obligations and observance space. With over 6 years of industry experience, he specializes in developing cutting-edge AI products, including real-time semantic segmentation systems, activity detection algorithms, and machine translation platforms.
Rafael Fischer, PhD, is a Generative AI Software Engineer with over 6 years of experience designing and delivering scalable AI-powered products for companies in the US, Europe, and Brazil. He specializes in building full-stack, product-oriented solutions that integrate LLMs, agentic workflows, and secure, cloud-native architectures to create intuitive, high-impact user experiences.
More details
Series
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Weight
268 gr
ISBN-13
978-1-63343-630-5 (9781633436305)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Richard Davies is the CTO of Vance, an artificial intelligence US-based startup in the business obligations and observance space. With over 6 years of industry experience, he specializes in developing cutting-edge AI products, including real-time semantic segmentation systems, activity detection algorithms, and machine translation platforms.
Rafael Fischer, PhD, is a Generative AI Software Engineer with over 6 years of experience designing and delivering scalable AI-powered products for companies in the US, Europe, and Brazil. He specializes in building full-stack, product-oriented solutions that integrate LLMs, agentic workflows, and secure, cloud-native architectures to create intuitive, high-impact user experiences.
Rafael Fischer, PhD, is a Generative AI Software Engineer with over 6 years of experience designing and delivering scalable AI-powered products for companies in the US, Europe, and Brazil. He specializes in building full-stack, product-oriented solutions that integrate LLMs, agentic workflows, and secure, cloud-native architectures to create intuitive, high-impact user experiences.