About the Book
Written by an enterprise AI leader who uses Claude Code daily, this practical guide takes you from first session to shipping production software. Go beyond hype and learn how to build real products, manage context, create reusable skills, automate workflows, and work with agentic AI at a professional level.
Key Features
Learn Claude Code through practical projects, workflows, and production use cases
Master the .claude folder system, CLAUDE.md configuration, skills, hooks, subagents, and context engineering
Ship production-ready software with confidence - prompting discipline, test-driven development, adversarial code review, and the autonomy spectrum from supervised to fully autonomous
Book DescriptionMost writing about Claude Code falls into two camps: marketing copy and hype-driven tutorials. What working professionals actually need is a practical guide to using Claude Code to plan, build, debug, automate, and ship real software. This book delivers exactly that.
It takes you from first principles to professional workflows, helping you understand where Claude Code fits within the wider Anthropic product surface and how to use it effectively across chat, CLI, integrations, and automation scenarios. You’ll start by learning how Claude Code works, how to install and configure it, and how to develop the right mental models for using it safely and productively.
Next, you’ll move into hands-on work: prompting effectively, using version control, building real projects, debugging issues, writing tests, managing project memory, and creating reusable skills. As your confidence grows, you’ll connect Claude Code to external tools & services, work across multiple surfaces and devices, explore hooks and subagents, and navigate the open source ecosystem around it.
The book culminates in building and deploying real software, then extends into team workflows, advanced patterns, and the practical limits of autonomy. By the end, you’ll know how to use Claude Code not just as a novelty, but as a serious tool for professional software delivery.What you will learn
Understand how Claude Code works across tools and workflows
Install, configure, and use Claude Code with confidence
Prompt effectively for planning, execution, and iteration
Build projects, debug issues, and write useful tests
Use CLAUDE.md, memory, and skills to work faster
Connect Claude Code to tools, services, and automation
Deploy production-ready software and autonomous workflows
Adopt advanced patterns for teams, scale, and resilience
Who this book is forThis book is for software developers, techpros, product builders, consultants, and relevant for professionals who sense that the way software gets built is changing fundamentally and want to be ahead of that shift rather than behind it. It is valuable for readers who want to move beyond experimentation and learn practical workflows for building software, automating tasks, and managing AI-assisted development. Some familiarity with software concepts, command lines, or modern web workflows will help, but the book is designed to be accessible to motivated beginners & experienced practitioners.
Table of Contents:
Table of Contents- Why Claude Code (And Why Now)
- The New Software Lifecycle
- The Landscape
- The Anthropic Product Surface
- What Claude Code Is and How It Works
- Installation and First Session
- Mental Models
- Version Control For Everyone
- Your Second Brain and Personal Constitution
- CLAUDE.md and Project Memory
- Prompting that works
- Claude Code Skills
- Skill Design Patterns
- From Idea to Working Demo
- Project 1: Personal Portfolio
- Iteration, Debugging, and Testing
- Context Engineering
- Project 2: The Chief of Staff
- Autonomous Workflows
- Hooks, Subagents, and Automation
- The Open-Source Ecosystem
- Multi-Surface Workflows
- What Can Go Wrong (And What Comes Next)
About the Author :
Andreas Horn is an enterprise AI and automation leader with over a decade of experience helping organizations turn emerging technology into practical, scalable operating capability. He has worked with some of the world's leading technology companies, including IBM and Microsoft, and has advised large enterprises on redesigning operations around AI, automation, and resilience. His experience spans complex transformation programs in regulated and high-stakes environments, where technical depth must be matched with governance, operational discipline, and business value. Andreas's work focuses on moving AI beyond experimentation into measurable, reliable, and production-ready use. He advises senior leaders on enterprise AI adoption, speaks frequently on AI-powered operations and organizational change, and works at the intersection of technology, execution, and long-term capability building. He also teaches AI and innovation topics at universities, helping professionals and students understand how emerging technologies translate into real-world business impact. His perspective is grounded in what works in real production environments.
