Kniha Agentic Coding With Claude Code Field Manual kai Lawrence

Agentic Coding With Claude Code Field Manual

The Everyday Developer's Guide to Claude Code, MCP, Hooks, Subagents, Skills, Testing, And Secure AI Workflows

Autor: kai Lawrence
Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
22.75
Stop prompting. Start engineering.Most developers meet Claude Code as a chat box - and that approach...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
180
EAN
9798182125987
Enbook ID
52982580
Hmotnosť
250
Rozmery
152 x 229 x 10

Kompletný popis

Stop prompting. Start engineering.

Most developers meet Claude Code as a chat box - and that approach quietly breaks down the moment a project gets real. The agent loops, drifts, ignores your rules, or confidently ships code that was never verified. Agentic Coding with Claude Code is the field manual that takes you past ad-hoc prompting and teaches you to wield Claude Code as a reliable, agent-driven development platform.

This is not another rewrite of the official documentation. It is a practical, opinionated guide built around one organizing idea: most Claude Code problems are "right tool, wrong layer" problems. Once you learn the five layers - CLAUDE.md, MCP, skills, hooks, and subagents - and the framework for choosing between them, you stop guessing and start designing workflows that are safe, repeatable, and under your control.

You'll learn how Claude Code actually "thinks" - the context window that explains every success and every failure - and how to manage it deliberately. You'll give your projects a persistent memory with CLAUDE.md, connect the agent to your real databases and tools through the Model Context Protocol (MCP), enforce non-negotiable rules with deterministic hooks, package reusable know-how as skills, and delegate sprawling work to subagents that keep your context clean.

Then you'll put it to work the way professionals do: test-first workflows so "done" means proven, not claimed; secure setups that contain a powerful agent's blast radius; and a complete field-repair method for diagnosing a stuck agent in two minutes instead of fighting it for twenty. Every technique is grounded in runnable examples from a companion repository - every file path in this book is real, so nothing points you to code that doesn't exist.

Because Claude Code evolves fast, the book is built to stay useful. Version-specific commands are clearly marked and collected in one reference appendix, while the durable concepts - the ones that survive every update - form the spine of the book. You learn the model once and re-check only what changes.

By the end, you won't just know the commands. You'll have the judgment to integrate Claude Code into real-world development with confidence and control.

What you will learn

  • Understand how Claude Code thinks by mastering the context window
  • Give projects a persistent memory with CLAUDE.md and the memory hierarchy
  • Connect agents to real tools and data using the Model Context Protocol (MCP)
  • Enforce coding standards deterministically with lifecycle hooks
  • Package reusable workflows as skills that load just-in-time
  • Design multi-agent systems with subagents, isolation, and parallel delegation
  • Build test-first, secure, agentic workflows you can actually trust
  • Diagnose and recover a stuck agent with a repeatable field-repair method
  • Future-proof your setup so your skills survive every Claude Code update

Who this book is for

This book is for working developers and engineers who want to move beyond chat-based AI and build agentic, automated development workflows with Claude Code and MCP. It's written for the everyday developer shipping on a deadline - not theorizing at a whiteboard - with prior software-engineering experience who wants practical command of AI agents in the terminal and IDE. AI engineers and technically minded GenAI users working closely with modern development workflows will benefit too.