There's a hidden assumption in the waterfall vs agile debate that AI might actually dissolve: the cost of iteration.

Waterfall made sense when changing code was expensive. Agile made sense when you couldn't know requirements upfront. But what if generating code becomes nearly free?

I've been experimenting with treating specs as the actual product - write the spec, let AI generate multiple implementations, throw them away daily. The spec becomes the persistent artifact that evolves, while code is ephemeral.

The surprising part: when iteration is cheap, you naturally converge on better specs. You're not afraid to be wrong because being wrong costs 20 minutes, not 2 sprints.

Anyone else finding that AI is making them more willing to plan deeply precisely because execution is so cheap that plans can be validated quickly?