Refactoring in the Age of AI: A Practical Field Guide for Developers Using AI IDEs
ANT
• Instant access to your digital edition.
• Read anytime, anywhere, on your favorite device.
• No shipping — your book is delivered digitally.
• Simple, secure access after purchase.
Instant digital delivery after purchase.
Discover another great read to add to your digital library.
Description
AI can help developers write code faster. But faster code can also create faster technical debt.
Refactoring in the Age of AI is a practical field guide for developers, tech leads, and architects who use AI IDEs, coding agents, and chat-based coding tools in real software projects.
This book explains how to recognize refactoring signals during AI-assisted development: large files, long functions, duplicated logic, unclear ownership, coupling, testing debt, configuration debt, resource lifecycle problems, performance debt, and documentation gaps.
Inside, you will learn how to:
Know when AI work has stopped converging Decide whether to continue, pause, narrow the task, or refactor first Use AI safely during behavior-preserving refactoring Review AI-generated refactors with stronger judgment Test refactors with evidence instead of confidence Create team rules for AI-assisted development Use practical thresholds for TypeScript, Python, notebooks, SQL, shell scripts, YAML, and templates This is not a theory-heavy book. It is written in simple English with practical playbooks, review checklists, verification checklists, and prompt patterns.
If your team is using AI to move faster, this book will help you keep the code understandable, testable, and maintainable.
Specifications
Frequently asked
Do I need an account to download?
No. After purchase, you can access your ebook directly from the order confirmation or download page.
What if a copy arrives damaged?
Contact us and we’ll help you access the file or provide a replacement download if needed.