
Why do software projects fail? Brooks's legendary 1975 classic reveals why "adding manpower to a late project makes it later" - a counterintuitive principle still shaping tech giants like Amazon. The book that made Jeff Bezos rethink scaling at AWS.
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Picture a mammoth struggling in sticky tar, its massive strength useless against the slow, relentless pull downward. Now replace that mammoth with a software team-brilliant engineers, ample funding, cutting-edge technology-and you've captured the essence of most large-scale programming projects. Despite heroic efforts, they sink slowly into failure, rarely meeting their goals, schedules, or budgets. What makes software development so treacherous? The answer isn't a single catastrophic flaw but an accumulation of interacting factors that gradually strangle progress. A simple program that runs on your laptop is vastly different from a polished product ready for public use. To become market-ready, that program needs generalization, exhaustive testing, and thorough documentation-costing at least three times more than the original code. To become a system component that plays nicely with others, it must conform to precise interfaces and be tested in every possible combination-tripling the cost again. The final product costs nine times what you initially estimated. Yet despite these challenges, programming offers unique joys: the delight of creating something from pure thought, the pleasure of building tools that help others, the fascination of watching complex pieces work in harmony. But these joys come with corresponding woes-the demand for absolute perfection where one misplaced character destroys everything, the tedium of hunting tiny bugs, the heartbreak of watching your work become obsolete before completion. Understanding this tar pit is the first step toward escaping it.
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Cree par des anciens de Columbia University a San Francisco
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