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SKU/Artículo: AMZ-B0GMKLYVK8

The REFACTOR Method: A Systematic Framework for Managing AI-Generated Technical Debt

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Your AI coding assistant is making you faster. But is it making your codebase better? GitHub Copilot writes functions in seconds. ChatGPT generates entire modules. Claude refactors your code beautifully. You're shipping features faster than ever. But six months later, you're spending more time debugging AI-generated code than writing new features. Your test coverage is dropping. Your deployment confidence is gone. And you can't figure out why. This is AI-generated technical debt—and it's different from anything you've managed before. Traditional technical debt comes from time pressure and inexperienced developers. AI debt comes from tools that optimize for immediate functionality while remaining blind to long-term consequences. It accumulates faster, hides deeper, and requires completely different detection and management strategies. The REFACTOR Method gives you a systematic framework to: Recognize AI code patterns that create hidden maintenance nightmares Evaluate the true cost of AI-generated debt using measurable impact metrics Fix critical AI debt without breaking functionality or slowing down development Automate custom linting rules that catch AI problems before they reach production Communicate team-wide standards that prevent debt accumulation Track AI debt continuously with dashboards that keep problems visible Optimize your development workflow to preserve AI productivity without the chaos Repeat the cycle until debt management becomes your team's default process Inside, you'll discover: The 7 AI code signatures that indicate problematic patterns A debt scoring system to prioritize what needs fixing first The 15-minute rule for tackling critical AI debt daily Custom ESLint/Pylint rules specifically designed for AI-generated code Weekly debt reporting templates that get your entire team aligned Dashboard metrics that expose AI debt before it becomes critical Workflow changes that maintain AI speed without AI chaos A complete 90-day transformation plan with specific milestones This book is for: Mid-level to senior engineers at fast-moving startups using AI assistants daily Engineering managers watching AI debt slow down their teams Tech leads trying to maintain code quality while preserving development velocity Anyone who's shipped AI-generated code and later regretted it What makes this different from other technical debt books: This isn't about generic "write better code" advice. The REFACTOR Method is specifically designed for the unique patterns, failure modes, and maintenance challenges created by AI coding assistants. It's based on real experience managing AI-assisted development at scale in fintech, startups, and high-stakes production environments. Every chapter includes real-world scenarios, specific actionable steps you can implement today, quick wins that show results in 15 minutes, and pro tips from teams who've solved these problems. Stop letting AI debt accumulate in the shadows. Start managing it systematically with a framework built specifically for AI-assisted development. Scroll up and click "Buy Now" to reclaim control of your codebase.

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