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Synopsis
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.
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About the Authors
Jacob Orshalick has over 20 years in software development, including 16+ as an independent consultant for startups to Fortune 500 companies. A seasoned technologist, he's led high-impact projects, revitalized struggling initiatives, and co-authored Seam Framework: Experience the Evolution of Java EE. Orshalick speaks regularly at conferences and shares his work at focus.dev.
Jerry Mannel Reghunadh is a Senior Director with 20+ years in tech, starting in QA before moving into product innovation and solution architecture. Known for mastering complex concepts and making them accessible, he's a frequent conference speaker and lifelong tinkerer. Jerry shares his projects at jerrymannel.me.
Danny Thompson is a software developer who now leads as a Director of Technology, working with Fortune 500 companies and teaching software developers worldwide. Host of The Programming Podcast and organizer of The Commit Your Code Conference, he is a sought-after speaker who specializes in making complex topics very approachable.
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The Developers Guide to AI A F
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The Developer's Guide to AI: A Field Guide for the Working Developer
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No Starch Press (edition ), 2026
ISBN 10: 1718504764
ISBN 13: 9781718504769
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1718504764-8-1
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The Developer's Guide to AI: A Field Guide for the Working Developer
Published by
No Starch Press (edition ), 2026
ISBN 10: 1718504764
ISBN 13: 9781718504769
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1718504764-11-1
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The Developer's Guide to AI (Paperback)
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No Starch Press,US, San Francisco, 2026
ISBN 10: 1718504764
ISBN 13: 9781718504769
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Paperback. Condition: new. Paperback. Build intelligent applications-no data science degree required.Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You're in the right place.The Developer's Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.By the end of this book, you'll know how to:Call LLM APIs and stream intelligent responses directly to your UI.Engineer prompts that produce reliable, production-ready results.Build RAG pipelines using vector databases to give AI access to your private data.Fine-tune models with LoRA for specialized tasks like classification.Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.Grab your code editor, bring your engineering instincts, and let's build what's next! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718504769
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The Developer's Guide to AI: A Field Guide for the Working Developer
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The Developer's Guide to AI
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Paperback. Condition: New. 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. Seller Inventory # LU-9781718504769
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The Developer's Guide to AI
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The Developer's Guide to AI
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