A Developer¿s Guide to Integrating Generative AI i nto Applications

1. Auflage 2026
ISBN: 978-1-394-37313-0
Verlag: John Wiley & Sons Inc

Buch, Englisch, 416 Seiten, Format (B × H): 235 mm x 189 mm, Gewicht: 844 g

Reihe: Tech Today

Create, implement, and scale commercially successful generative AI applications that solve real-world problems

In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions.

Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately.

You’ll discover: - Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic users
- Up-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilities
- How to improve your interface and UX design with AI features
- Explorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI

Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.

Autoren/Hrsg.

Minnick, Chris

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction xxvii

Part I Foundations of Generative AI 1
Chapter 1 Introduction to Generative AI 3
Chapter2 Understanding Generative AI Models 25
Chapter 3 Getting Started with AI APIs and SDKs 47
Chapter 4 AI-Generated Data and Synthetic Users 75
Chapter 5 Prompt Engineering 91

Part II Designing for a Better AI Experience 119
Chapter 6 Human–AI Interaction and UX Design 121
Chapter 7 Optimizing AI for Performance and Cost 141

Part III Integrating AI into Applications 165
Chapter 8 Building AI-Powered Chatbots and Assistants 167
Chapter 9 Generating and Enhancing Content with AI 205
Chapter 10 AI for Code Generation and Developer Tools 239
Chapter 11 Enhancing Search and Recommendations with AI 263

Part IV Business Considerations 289
Chapter 12 Ethical Considerations and Pitfalls 291
Chapter 13 Monetizing AI Features 317
Chapter 14 Successful AI-Powered Products 345

Index 369

Über Autor(innen)

CHRIS MINNICK is a developer and tech educator who teaches JavaScript, React, Node.js, prompt engineering, and generative AI. He’s the author of more than 20 technical books, including Microsoft Copilot For Dummies, Coding With AI For Dummies, and JavaScript All-in-One For Dummies.