The Developer's Guide to AI

Orshalick, Jacob/ Reghunadh, Jerry Mannuel/ Thompson, Danny

No Starch Press,US（2026/06発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 336 p.
• 言語 ENG
• 商品コード 9781718504769

Full Description

Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know-JavaScript, Python, APIs, vector search, and simple agent workflows without advanced math or machine learning. Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last.

Contents

Acknowledgments
Preface
Introduction

PART I: GETTING STARTED WITH AI
Chapter 1: Understanding Large Language Models
Chapter 2: Building Your First LLM-Powered Application
Chapter 3: Python Essentials for LLMs and APIs

PART II: PROMPT ENGINEERING
Chapter 4: Fundamentals of Prompt Engineering
Chapter 5: Prompt Engineering Techniques
Chapter 6: Prompt Engineering in Code

PART III: VECTOR DATABASES AND RAG
Chapter 7: Vector Databases in Practice
Chapter 8: Designing a Retrieval-Augmented Generation System

PART IV: ADAPTING MODELS TO REAL-WORLD TASKS
Chapter 9: Why and When to Customize a Model
Chapter 10: Preparing Data for Fine-tuning
Chapter 11: Fine-Tuning Models in Practice

PART V: BUILDING AGENTIC SYSTEMS
Chapter 12: From Workflows to Autonomous Agents
Chapter 13: Building an Autonomous Agent
Chapter 14: Extending Agents with Tools

Afterword
Index