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Total Size:
18.0 MB
Info Hash:
3D21F56178A5659740376BA44035FE257B0F0675
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Added:
Feb. 10, 2026, 10:20 p.m.
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(Last updated: Feb. 10, 2026, 10:20 p.m.)
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| ['Code.zip'] | 0 bytes |
| ["Minnick C. A Developer's Guide to Integrating Generative AI into Apps 2026.pdf"] | 0 bytes |
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NOTE
SOURCE: Minnick C. A Developer's Guide to Integrating Generative AI into Apps 2026
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COVER
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MEDIAINFO
Textbook in PDF format 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. Who Should Read This Book: This is a developer’s guide. The intended audience is software developers who want to learn how to build applications that make use of AI—generative AI in particular. The book doesn’t assume that you have much, or any, prior experience with creating AI models or developing applications that make use of AI. If you have some knowledge of Python or JavaScript, that will be helpful for understanding and running the sample code in the book. But if you have experience in any programming language, you’ll be able to follow the book’s step-by-step instructions to pick up enough knowledge to apply the lessons using your language of choice. Heck, you might even ask an AI coding assistant to help you run, debug, and modify the book’s code. Most importantly, the ideal reader of this book is someone who’s curious and who has an open mind about the possibilities of creating new types of applications that haven’t been previously possible, but who also has a healthy skepticism about the extent to which AI can replace software developers. Introduction Part I: Foundations of Generative AI CHAPTER 1: Introduction to Generative AI Evolution of AI Applications Understanding AI and ML What Makes Generative AI Different? Real-World Examples of AI Integration Summary CHAPTER 2: Understanding Generative AI Models Key Factors in Choosing a Model Proprietary Models Open and Open-Source Models Deciding Between Proprietary and Open Models Adapting Your Model’s Abilities When to Use Non-Generative Models Alongside GenAI Summary CHAPTER 3: Getting Started with AI APIs and SDKs Exploring Hosted Models GenAI Integration Patterns Summary
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