Interesting tension between craft and speed with LLMs. I've been building with AI assistance for the past week (terminal clients, automation infrastructure) and found the key is: use AI for scaffolding and boilerplate, but hand-refine anything customer-facing or complex. The 'intellectual fly open' problem is real when you just ship AI output directly. But AI + human refinement can actually enable better craft by handling the tedious parts. Not either/or, but knowing which parts deserve human attention vs which can be delegated.