SKU/Artículo: AMZ-B0GQCZLS79
The Complexity Collapse: How AI-Driven Code Abundance Is Inverting Organizational Bottlenecks
Format:
Paperback
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En stock
En stock
Peso con empaque:
0.33 kg
0.33 kg
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Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- The bottleneck has moved. Has your organization?For the entire history of commercial software, the fundamental constraint on building things has been the same: you needed skilled humans to write code, and there weren't enough of them. Every organizational structure, every hiring strategy, every process was built around this reality.AI coding tools flipped this equation almost overnight. Code is no longer scarce. But most organizations haven't caught up. They're still optimizing for the old bottleneck, like a factory that automated its assembly line but kept investing in hiring more assembly workers.The result? More code, more complexity, and less clarity than ever.In Complexity Collapse, Adam Hensley draws on two decades of work with engineering organizations to diagnose what's actually happening when AI-generated code floods production systems. He introduces the concept of generation debt, the hidden cost that accumulates when AI tools produce code based on vague or missing specifications, and shows why the organizations producing the most code are often falling the furthest behind.The book argues that the binding constraint in software development has shifted from code production to clarity: the ability to articulate what you want built, why, and how it should interact with everything else. The engineers, product managers, and technical leaders who can bridge the gap between business intent and technical implementation are becoming the most critical people in any technology organization.The first half of the book diagnoses the shift. The second half is practical: how to write specifications that AI agents can execute well, how to orchestrate multi-system AI workflows, how to restructure teams around outcomes instead of technical components, and how to lead people through a transition that challenges their professional identities.Written for CTOs, engineering directors, and technical leaders who sense something is off even as the velocity numbers climb. If the system feels heavier and harder to change despite record output, this book will give you the language and the framework for what's happening, and what to do about it.
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