Dirty Code. But works.: Software Engineering in the AI Era

Code doesn't have to be perfect. It just has to work.

In the AI era, clean code is becoming obsolete. This provocative guide challenges traditional software engineering practices and shows why architecture matters more than pristine syntax.

Over 20% of code is now AI-generated. While developers obsess over formatting and "best practices" from 2010, AI produces messy but functional solutions faster than any human can write them. This book argues it's time to embrace this reality.

Learn why:

• Clients care about solutions, not elegant code
• AI code generation fundamentally changes development rules
• Architecture decisions outlast any individual codebase
• Mocked unit tests create dangerous illusions of quality
• "Clean Code" principles often harm productivity in modern development

Discover the new developer skillset:

• Judging and improving AI-generated code
• Translating business problems into technical architecture
• Building systems that work reliably with imperfect components
• Focusing on security while accepting stylistic messiness

Written by a hardware engineer who has shipped over 5,000 commercial devices, this book bridges the gap between academic theory and shipping products that customers actually use.

For experienced developers ready to abandon perfectionist coding practices and embrace pragmatic software development in the age of AI.