Artificial Intelligence (AI) has ushered in a transformative era for software development, arguably the most significant shift since the advent of the internet itself. This profound change isn't merely about expanding what software can accomplish; rather, it dramatically accelerates the consequences of a fundamental choice that the industry has often treated as a mere preference for decades. At its core, this distinction lies between crafting software designed for immediate functionality and developing systems engineered to remain correct, maintainable, and adaptable over a span of ten to fifteen years, navigating evolving requirements and changing development teams. These two objectives represent fundamentally different engineering challenges, and the tools and practices optimized for the former often actively undermine the latter. AI excels at rapid, immediate software creation, surpassing human capabilities. That said, its impact on the longevity and sustainability of complex enterprise systems demands a far deeper examination.
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