Agentic Coding with Claude Code
Eden Marco
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9781806022595
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*
Most developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform.
This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle.
The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach.
You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.
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This book is for developers and engineers who want to move beyond chat-based AI and build agentic, automated development workflows using Claude Code and MCP.
It is ideal for application developers with prior software engineering experience who want to integrate context-aware AI agents into their terminal and IDE, automate complex tasks, and design scalable multi-agent systems. It will also benefit AI engineers and GenAI users working closely with modern development workflows.
Eden Marco is an LLM specialist at Google Cloud and a LangChain Ambassador with years of experience in software engineering and cloud architecture. He was one of the first engineers at Orca Security, holds a bachelor's degree in computer science from the Technion, and has taught at Reichman University. Eden creates practical, production-ready courses based on real-world experience.
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