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  • Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs (Pocket Guides for Developers)

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Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs (Pocket Guides for Developers)


Write prompts that get results — not hallucinations.

Most developers treat prompting as trial and error. Copy a template, tweak the wording, hope for the best. This book replaces guesswork with
engineering. Whether you use ChatGPT, Claude, Gemini, or open-source models, the techniques behind reliable prompts are the same. Prompt Engineering Pocket Guide gives you repeatable patterns you can apply to any LLM.

Inside you will learn:

System Prompts — Set the rules of the game. Control tone, format, and behavior before the user says a word.
Few-Shot Prompting — Teach by example. Show the model what good output looks like and watch quality jump.
Chain-of-Thought — Make the model reason step by step instead of guessing the final answer.
Structured Output — Get JSON, YAML, or any format you need — reliably, every time.
Prompt Chaining — Break complex tasks into stages where each prompt builds on the last.
Temperature & Sampling — Understand what the knobs actually do and when to turn them.
Prompt Optimization — Iterate systematically with evaluation metrics, not vibes.
Common Pitfalls — Recognize and fix the patterns that cause hallucinations, refusals, and drift.

Every technique comes with
clear Python code examples you can adapt to your stack. No filler, no hype — just the prompting patterns that separate unreliable demos from production-grade LLM applications.

Who this book is for: Software engineers, data scientists, and anyone building on top of LLMs who wants to stop guessing and start engineering their prompts.

Other books in Pocket Guides for Developers (standalone, no reading order):
System Design Pocket Guide: Fundamentals
System Design Pocket Guide: Interviews
AI Agents Pocket Guide
This bookPrompt Engineering Pocket Guide
Database Playbook
LLM Observability Pocket Guide
Event-Driven Architecture Pocket Guide
RAG Pocket Guide
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About the author

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Gabriel Anhaia
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Gabriel Anhaia is a Senior Software Engineer and author with a passion for making complex technical concepts clear and practical. With over a decade of experience designing and scaling backend systems for fintechs, startups, and high-growth companies, he specializes in PHP, Go, microservices, and distributed architectures.

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