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Agentic Coding with Claude Code

You're reading from   Agentic Coding with Claude Code The everyday developer's guide to agentic coding with Claude Code

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Product type Paperback
Published in Mar 2026
Publisher Packt
ISBN-13 9781806022595
Length 376 pages
Edition 1st Edition
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Author (1):
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Eden Marco Eden Marco
Author Profile Icon Eden Marco
Eden Marco
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations of Context Engineering and Claude Code
2. Chapter 1: Context Engineering FREE CHAPTER 3. Chapter 2: The Gist of Claude Code 4. Chapter 3: Getting Started with Claude Code – A Tour of Essential Commands 5. Part 2: Extending Claude Code: Protocols, Automation, and Structured Workflows
6. Chapter 4: Extending Claude Code with MCP Servers and Plugins 7. Chapter 5: Automating Your Development Workflow with Claude Code and GitHub 8. Chapter 6: Claude Code Planning and Multi-agent Workflows 9. Chapter 7: Working with Claude Code Subagents 10. Chapter 8: Creating and Customizing Output Styles 11. Part 3: Advanced Agents and Deep System Design
12. Chapter 9: Understanding Agent Skills 13. Chapter 10: Using Claude Code Desktop 14. Chapter 11: Understanding Deep Agents 15. Chapter 12: Unlock Your Exclusive Benefits 16. Other Books You May Enjoy
17. Index

Summary

In this chapter, you learned how to use Claude Code within the desktop application, switch between Local worktree and cloud modes, and run multiple coding agents in parallel. You saw how Git Worktrees isolate feature development, how background agents operate in the cloud, and how independently developed branches can be merged, tested, and consolidated into a single working code base. You also explored how the same workflow extends to mobile, where all execution happens in the cloud.

This information is useful because it demonstrates how to move from sequential development to orchestrated, multi-agent workflows. By understanding how to manage parallel branches, coordinate local and remote agents, and safely merge their outputs, you can significantly increase development throughput while maintaining control over your code base.

In the next chapter, we examine deep agents and their role in long-horizon task execution. We define the characteristics of deep agents and analyze the...

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