As software architects, we're living through an unprecedented shift in how engineering decisions are made. Large Language Models have become ubiquitous in our workflows—and for good reason. They're powerful tools for code assistance, idea generation, and exploring technical possibilities. But as with any powerful tool, knowing when and how to apply it matters enormously. This post isn't about resisting AI or dismissing its value. It's about recognizing a fundamental mismatch:

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