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Book synopsis

Clean code didn't become obsolete-your context did.

AI tools can now write code, refactor functions, and generate entire modules in seconds. But speed without discipline creates technical debt even faster. This book shows how clean code principles evolve in a world where developers work with AI, not without it.

The Clean Code Refresher revisits timeless best practices-clarity, readability, maintainability-and updates them for the AI-augmented development workflow.

What You'll Learn in This Book

• What clean code still means in modern software development

• Writing code that humans and AI can reason about

• Structuring functions, modules, and systems for long-term change

• Refactoring safely with AI assistance

• Avoiding AI-generated anti-patterns

• Naming, abstraction, and boundaries that scale

• Balancing speed, correctness, and maintainability

This book focuses on principles, judgment, and craftsmanship, not trends.

Who This Book Is For

This book is ideal for:

• Professional software developers

• Engineers using AI coding tools daily

• Senior developers mentoring teams

• Developers maintaining long-lived codebases

• Anyone who wants to write code worth keeping

Some programming experience is recommended.

Why Clean Code Matters More with AI

AI can generate code instantly-but it cannot take responsibility for it.

Clean code:

• Makes AI output easier to review

• Enables safer refactoring

• Reduces long-term maintenance cost

• Preserves engineering intent

This book teaches you how to stay in control while coding faster than ever.

Book details

• Full title: The Clean Code Refresher
• Subtitle: Practices for the AI-Augmented Developer
• Author: MIGUEL FARMER
• Language: English
• Binding: Paperback
• Number of pages: 232
• EAN: 9798244143027
• ID: 50659533
• Publisher: Independently published
• Weight: 318 g
• Dimensions: 229 × 152 × 12 mm
• Date of publishing: 21. January 2026

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