Claude Code and AI Agents. This item is unavailable.
Language: English
Published by Independently Published, 2026
- Softcover
- New
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Softcover
Condition: New
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Item description from seller
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Seller Inventory # L2-9798195235727
- Title
- Claude Code and AI Agents
- Author
- Festa Smith
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798195235727
- Item weight
- 649 grams
Claude Code and AI Agents: Design Autonomous Systems, Build Multi-Agent Workflows, and Create Scalable AI Applications with Modern LLM Tools
This book gives you a complete, practical path to building intelligent software powered by modern language models. It moves beyond simple prompts and shows you how to design systems that can plan, reason, act, and adapt in real environments.
You will learn how to work with Claude-powered workflows and agent-based architectures from the ground up. The journey begins with a clear understanding of how AI agents operate, including how prompts, context, tools, and memory come together to produce reliable behavior. From there, you move into designing systems that can handle real tasks—retrieving information, interacting with APIs, coordinating multiple agents, and managing complex workflows.
The book takes a hands-on approach throughout. You will build working applications step by step, including autonomous research assistants, multi-agent customer support systems, and intelligent workflow automation tools. Each example is designed to reflect real production scenarios so you can apply what you learn immediately.
You will also gain a strong foundation in backend and frontend integration. This includes designing APIs for agent-driven systems, managing sessions and state, handling streaming responses, and creating user interfaces that feel responsive and trustworthy. Along the way, you will learn how to optimize performance, control costs, and scale your systems to handle real demand.
Security, reliability, and responsible AI are treated as essential parts of the process. You will understand how to apply guardrails, validate inputs and outputs, monitor system behavior, and build applications that users can rely on.
By the end of this book, you will not just understand how AI systems work—you will know how to design, build, and deploy them with confidence.
If you are ready to move from experimenting with AI to building complete, production-ready systems that solve real problems, this book will guide you every step of the way.
Start building intelligent systems that think, act, and scale—your next breakthrough application begins here.
This book gives you a complete, practical path to building intelligent software powered by modern language models. It moves beyond simple prompts and shows you how to design systems that can plan, reason, act, and adapt in real environments.
You will learn how to work with Claude-powered workflows and agent-based architectures from the ground up. The journey begins with a clear understanding of how AI agents operate, including how prompts, context, tools, and memory come together to produce reliable behavior. From there, you move into designing systems that can handle real tasks—retrieving information, interacting with APIs, coordinating multiple agents, and managing complex workflows.
The book takes a hands-on approach throughout. You will build working applications step by step, including autonomous research assistants, multi-agent customer support systems, and intelligent workflow automation tools. Each example is designed to reflect real production scenarios so you can apply what you learn immediately.
You will also gain a strong foundation in backend and frontend integration. This includes designing APIs for agent-driven systems, managing sessions and state, handling streaming responses, and creating user interfaces that feel responsive and trustworthy. Along the way, you will learn how to optimize performance, control costs, and scale your systems to handle real demand.
Security, reliability, and responsible AI are treated as essential parts of the process. You will understand how to apply guardrails, validate inputs and outputs, monitor system behavior, and build applications that users can rely on.
By the end of this book, you will not just understand how AI systems work—you will know how to design, build, and deploy them with confidence.
If you are ready to move from experimenting with AI to building complete, production-ready systems that solve real problems, this book will guide you every step of the way.
Start building intelligent systems that think, act, and scale—your next breakthrough application begins here.
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