The increasing use of AI in software development necessitates a distinction between delegating code implementation and delegating architectural decisions. While AI can efficiently generate code and pass tests, it shouldn't be granted autonomy to reshape system architecture or introduce dependencies without oversight, as this can compromise design principles. To maximize AI's utility, engineers should first define the problem, establish architectural boundaries, and then leverage AI for implementation and testing, ensuring they retain responsibility for the overall system.
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