Dirty Code. But Works.

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

In the fast-changing world of software development, the idea of perfect code is becoming less important. Dirty Code. But Works is a guide that challenges old-school software engineering practices. It shows why having a solid architecture is more important than having perfectly formatted code. With over 20% of code now being AI-generated, this book helps developers understand how to work with messy but functional AI code.

Benefits

Dirty Code. But Works offers several key advantages for developers:

• Focus on Solutions:Clients care more about solutions that work than about perfectly written code.
• AI Code Generation:Learn how AI is changing the rules of software development and how to work with AI-generated code.
• Architecture Matters:Understand why good architecture is more important than perfect code.
• Real-World Applications:Discover how to build reliable systems even with imperfect components.
• Security Focus:Learn to prioritize security while accepting some messiness in code style.

Use Cases

This book is ideal for experienced developers who want to:

• Improve their ability to judge and improve AI-generated code.
• Translate business problems into effective technical architecture.
• Build systems that work reliably despite imperfect code.
• Focus on security while accepting some stylistic messiness.

Pricing

Dirty Code. But Works is available for preorder on Gumroad. You can name your own fair price for this 49-page guide.

Vibes

The book has received a perfect 5-star rating from one reviewer, indicating strong initial reception. The reviewer praised the book's insights and practical advice for modern software development.

Additional Information

Written by a hardware engineer with extensive experience shipping over 5,000 commercial devices, this book bridges the gap between academic theory and practical product development. It is designed for developers ready to move beyond perfectionist coding practices and embrace pragmatic software development in the age of AI.