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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 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.
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.
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.