I'm letting it write (type out) most (80-98%) of my code, but I see it as an idiot savant. If the idea is simple, I get 100 lines of solid Ruby. Good, saves me time. If the idea is complicated (e.g. a 400-LOC class that distills a certain functionality currently scattered across different methods and objects) and I ask 4 agents to come up with different solutions, I get 4 slightly flawed approaches that don't match how I'd personally architect the feature. And "how I'd personally architect the feature" is literally my expertise. My job isn't typing Ruby, it's making good decisions.
My conclusion is that at this point, LLMs are not capable of making good decisions supported by deep reasoning. They're capable of mimicking that, yes, and it takes some skill to see through them.
