I think that quote is very apt. I experimented with making realistic video game grass (inspired by Ghost of Tsushima), and let it take the reins. But its solution became very contrived and hard to steer in the direction I wanted without me learning the specifics of how grass rendering should work. Still, it seems that I can limit my understanding to the higher levels of abstractions in most cases now. For example, I made it clump grass together according to a voronoi diagram, yet I have no idea how the voronoi algorithm works.
That's very different from what a lot of vibe-coders do, like wholesale cloning and relicensing projects. This is happening in the GIS space, and these vibe-clone projects slightly hilariously inherit all the technical debt they didn't understand.
Nothing wrong with using LLMs, but I agree with Andrej Karpathy: "you can outsource your thinking, but not your understanding".