It's not sufficient, especially if I am not learning about the problem by being part of the implementation process. The models are still very weak reasoners, writing code faster doesn't accelerate my understanding of the code the model wrote. Even with clear specs I am constantly fighting with it duplicating methods, writing ineffective tests, or implementing unnecessarily complex solutions. AI just isn't a better engineer than me, and that makes it a weak development partner.

I tried doing that and it didn't work. It still adds "fallbacks" that just hide errors or the fact that there is no actual implementation and "In a real app, we would do X, just return null for now"