Agentic Engineering Claude Code by Langford Cole (9 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
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- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Stop Prompting. Start Engineering AI Systems That Actually Work. If you're still relying on prompts to build with AI, you're already behind. Prompt-based coding breaks the moment your projects grow, outputs become inconsistent, workflows collapse, and control disappears. That's why top devel…opers are shifting to agentic AI engineering: building systems that think, act, and execute reliably. This book shows you how to do exactly that. 2 What You'll Learn Inside This is not another "AI tools" book. This is a practical, system-level guide for developers who want to move beyond experimentation and start building production-ready AI systems using Claude Code and Model Context Protocol (MCP). Inside, you'll learn how to: - Design agentic workflows that are predictable, scalable, and controllable - Build and orchestrate multi-agent systems that solve real development problems - Use context engineering to eliminate randomness and improve output reliability - Implement persistent memory systems for long-term AI reasoning - Automate development with commands, hooks, and workflow pipelines - Integrate AI into real tools using MCP for structured context sharing - Debug, monitor, and control AI systems like a professional engineer - Build a complete production-ready AI SaaS system from scratch Built for Developers Who Want Real Results This book is for: - Developers tired of inconsistent AI outputs - Engineers ready to build scalable AI workflows - Builders who want to turn AI into a reliable system not a guessing tool If you understand coding but feel stuck with AI tools, this book bridges that gap. Why This Book Is Different Most books stop at prompting. This one shows you how to: Design systemsControl behaviorScale workflowsBuild real applicationsBy the end, you won't just "use AI." You'll engineer it. The Future of Development Is Agentic AI is no longer a tool, it's becoming a system. The developers who win are the ones who know how to design, control, and scale it. This book gives you that advantage. If you're serious about building real AI-powered systems not just experimenting, this is the guide you've been looking for. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. Stop Prompting. Start Engineering AI Systems That Actually Work. If you're still relying on prompts to build with AI, you're already behind. Prompt-based coding breaks the moment your projects grow, outputs become inconsistent, workflows collapse, and control disappears. That's why top devel…opers are shifting to agentic AI engineering: building systems that think, act, and execute reliably. This book shows you how to do exactly that. 2 What You'll Learn Inside This is not another "AI tools" book. This is a practical, system-level guide for developers who want to move beyond experimentation and start building production-ready AI systems using Claude Code and Model Context Protocol (MCP). Inside, you'll learn how to: - Design agentic workflows that are predictable, scalable, and controllable - Build and orchestrate multi-agent systems that solve real development problems - Use context engineering to eliminate randomness and improve output reliability - Implement persistent memory systems for long-term AI reasoning - Automate development with commands, hooks, and workflow pipelines - Integrate AI into real tools using MCP for structured context sharing - Debug, monitor, and control AI systems like a professional engineer - Build a complete production-ready AI SaaS system from scratch Built for Developers Who Want Real Results This book is for: - Developers tired of inconsistent AI outputs - Engineers ready to build scalable AI workflows - Builders who want to turn AI into a reliable system not a guessing tool If you understand coding but feel stuck with AI tools, this book bridges that gap. Why This Book Is Different Most books stop at prompting. This one shows you how to: Design systemsControl behaviorScale workflowsBuild real applicationsBy the end, you won't just "use AI." You'll engineer it. The Future of Development Is Agentic AI is no longer a tool, it's becoming a system. The developers who win are the ones who know how to design, control, and scale it. This book gives you that advantage. If you're serious about building real AI-powered systems not just experimenting, this is the guide you've been looking for. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
