Comment by SkyBelow
20 hours ago
So if I'm understanding this, there are two central arguments being made here.
1. AI Coding leads to a lack of flow.
2. A lack of flow leads to a lack of joy.
Personally, I can't find myself agreeing with the first argument. Flow happens for me when I use AI. It wouldn't surprise me if this differed developer to developer. Or maybe it is the size of requests I'm making, as mine tend to be on the smaller size where I already have an idea of what I want to write but think the AI can spit it out faster. I also don't really view myself as prompt engineering; instead it feels more like a natural back and forth with the AI to refine the output I'm looking for. There are times it gets stubborn and resistant to change but that is generally a sign that I might want to reconsider using AI for that particular task.
One trend I've been finding interesting over the past year is that a lot of engineers I know who moved into engineering management are writing code again - because LLMs mean they can get something productive done in a couple of hours where previously it would have taken them a full day.
Managers usually can't carve out a full day - but a couple of hours is manageable.
See also this quote from Gergely Orosz:
From https://x.com/GergelyOrosz/status/1914863335457034422
This is also true of (technical) product managers from an engineering background.
It's been amazing to spin up quick React prototypes during a lunch break of concepts and ideas for quick feedback and reactions.
Yeah I think flow is more about holding a lot of knowledge about the code and its control flow in your head at a time. I think there's an XKCD or something that illustrates that.
You still need to do that if you're using AI, otherwise how do you know if it's actually done a good job? Or are people really just vibe coding without even reading the code at all? That seems... unlikely to work.