Agentic Coding with Claude Code

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

1. Context Engineering
2. The Gist of Claude Code
3. Getting Started with Claude Code – A Tour of Essential Commands
4. Extending Claude Code with MCP Servers and Plugins
5. Automating Your Development Workflow with Claude Code and GitHub
6. Claude Code Planning and Multi-Agent Workflows
7. Working with Claude Code Subagents
8. Creating and Customizing Output Styles
9. Understanding Agent Skills
10. Using Claude Code Desktop
11. Understanding Deep Agents

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.