AI Coding with Claude Code. Accelerate Development, Automate Complex Tasks, and Build Scalable Software with Intelligent Agents (en Inglés) - Andrew Hooper

What if the developers who master AI-assisted software engineering today become the highest-performing engineers of the next decade?

The software industry is undergoing its biggest transformation since the rise of cloud computing, and developers who understand how to work with AI coding systems are gaining an enormous advantage. AI Coding with Claude Code
is a practical, hands-on guide that shows you how to design, build, automate, secure, and deploy modern software systems using AI-powered development workflows.

This book goes far beyond basic prompting or simple code generation. You will learn how professional engineers use Claude Code and modern AI tooling to accelerate real-world software development while maintaining performance, reliability, scalability, and security. From intelligent coding workflows and automated debugging to production deployment, orchestration systems, AI-powered automation, retrieval pipelines, and autonomous engineering agents, this book teaches the complete workflow behind modern AI-assisted development.

Every chapter focuses on practical implementation with clear explanations, production-oriented strategies, and fully working examples designed to help you build real systems instead of toy projects. Whether you are creating APIs, automating workflows, deploying scalable applications, migrating large codebases, or building AI-powered developer tools, this book provides the technical foundation needed to work effectively in the new era of software engineering.

Inside this book, you will learn how to:

Use Claude Code to accelerate software development workflows

Build intelligent automation systems and AI-powered tools

Create scalable APIs and production-ready applications

Implement testing, validation, and security guardrails

Design orchestration pipelines and autonomous agent systems

Work with retrieval-augmented generation (RAG) and vector databases

Deploy AI-assisted systems using Docker, CI/CD, and cloud infrastructure

Understand the limitations, risks, and future of AI coding systems

Develop the modern engineering skills companies increasingly demand

Unlike many AI programming books that focus only on theory or superficial examples, this book emphasizes professional-grade implementation, real engineering workflows, and practical production systems. It bridges the gap between traditional software engineering and the rapidly evolving world of AI-assisted development.

Whether you are a software engineer, backend developer, DevOps engineer, AI enthusiast, technical founder, computer science student, or experienced programmer looking to future-proof your career, this book will help you understand how AI is reshaping modern software development and how you can stay ahead of the curve.

The future of programming is not less engineering. It is smarter engineering powered by intelligent systems.

Start building the next generation of software today.