📄 中文摘要
根据帕累托原则，大多数劳动（轻蓝色区域）仅对整体质量贡献了小部分。AI技术在加速解决这些“低价值80%”方面表现出色，但在高价值的复杂任务中却未能显著提高生产力。AI的局限性在于其主要集中于低价值的重复性工作，而无法有效应对高价值的创造性和复杂性任务。这导致AI驱动的开发未能带来软件生产力的根本性提升，反而可能使开发者的工作变得更加复杂。
AI驱动的开发未能实现软件生产力的根本提升
📄 English Summary
AI-Driven Development fails to deliver a fundamental increase in software productivity
According to Pareto's Principle, the majority of labor (the Light Blue zone) contributes only a small fraction to overall quality. AI excels at accelerating the resolution of this 'Low-Value 80%', but it fails to significantly enhance productivity in high-value, complex tasks. The limitations of AI lie in its focus on low-value repetitive work, which does not effectively address the creative and complex tasks that drive high value. As a result, AI-driven development has not delivered a fundamental increase in software productivity and may even complicate the work of developers.