Agentic Coding with Claude Code : The everyday developer's guide to agentic coding with Claude Code
Language: English
Published by Packt Publishing, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 65.29
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Prompting works for snippets, but professional software development requires secure, context-aware workflows.
Seller Inventory # 9781806022595
- Title
- Agentic Coding with Claude Code : The everyday developer's guide to agentic coding with Claude Code
- Author
- Eden Marco
- Publisher
- Packt Publishing
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1806022591
- ISBN 13
- 9781806022595
- Item weight
- 701 grams
- Dimensions
- 235x191x21 mm
Move beyond prompt-based coding by using Claude Code to design reliable, agent-driven workflows and build production-ready full-stack applications
Key Features
- Learn Claude Code as a development partner to build custom automations and agentic workflows
- Build and iterate on a Next.js application using Claude Code for AI-assisted development
- Scale AI-assisted development with Claude Code while maintaining code quality
Book Description
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.
What you will learn
- Design agentic coding workflows in the terminal and IDE using Claude Code
- Build custom automations with reusable slash commands and hooks
- Use Claude Code with a Next.js project to implement AI-driven workflows
- Create persistent AI memory using Claude Code memory files
- Apply MCP for structured context sharing across tools and agents
- Design multi-agent systems using subagents and orchestration patterns
- Enforce coding standards using project documentation and context control
- Scale AI pair programming while keeping code maintainable
Who this book is for
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.
Table of Contents
- Context Engineering
- The Gist of Claude Code
- Getting Started with Claude Code – A Tour of Essential Commands
- Extending Claude Code with MCP Servers and Plugins
- Automating Your Development Workflow with Claude Code and GitHub
- Claude Code Planning and Multi-Agent Workflows
- Working with Claude Code Subagents
- Creating and Customizing Output Styles
- Understanding Agent Skills
- Using Claude Code Desktop
- Understanding Deep Agents
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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