I think it depends a lot on the task. While you’re right that just typing is rarely a bottleneck, I would say that derivative implementations often are. Things

I think it depends a lot on the task. While you’re right that just typing is rarely a bottleneck, I would say that derivative implementations often are. Things like: build a settings system with org, user, and project level settings, and the UI to edit them. A task like that doesn’t require a lot of thinking and planning, and is well within most developers’ abilities, but it can still take significant time. Maybe you need to create like 10 new files across backend and frontend, choose a couple libraries to help with different aspects, style components for the UI and spend some time getting the UX smooth, make some changes to the webpack config, and so on. None of it is difficult, per se, but it all takes time, and you can run into little problems along the way. A task like that is like 10-20% planning, and 80-90% going through the motions to implement a lot of unoriginal functionality. In my experience, these kinds of tasks are very common, and the speedup LLMs can bring to them, when prompted well, is pretty dramatic.