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Technical depth still matters. What changed is that producing a plausible solution got cheaper, so execution is weaker evidence of the judgment behind it.

Entry-level work ran a loop that quietly produced senior judgment. AI shortens that loop, so teams have to build on purpose what they used to get free.

As AI makes implementation cheaper, product engineers grow by practising the product, writing, pricing, and distribution decisions their briefs omit.

Building an AI harness for my team taught me that the tooling was only part of the work. The more important outcome was making our working agreements visible, discussable, and executable.

AI did not make pre-AI frameworks obsolete. It changed which parts of them still earn their place. This is what happened when our team evaluated Shape Up one ritual at a time, asking what question each practice answers and which decision it still protects.