I think saying no is more important now with AI, as features can be built so quickly now. But there are a lot more costs after the feature has been built. Mostly with AI the code isn’t understood that well, wich incurs a cognitive debt. Then there are extra maintentance and documentation costs. And the costs of carrying around features that add no value.

I can imagine that if you’re a startup and want to try new features quickly, it makes sense to say yes more. But the senior mentioned in the article will also be able to understand that.