This is the juxtaposition the general public is in. They don’t have advanced tech skills to know any better so they see an output that they can’t produce from their skills and think it’s great. Maybe it is, maybe it isn’t. What does the code look like?
This is where I’m at. I’ve always been a computer tinkerer but a novice coder at best. I work in the film industry, so I don’t need to know how to code.
Where I’m at when building personal applications for my home / life is: does the code execute and perform the desired task?
If so, what do I care how shitty it is? I’m not publishing these projects (for the most part… I have one joke application up at songshift.reachnick.co) so efficient, clean, secure code are not really a priority for me.
Both had a working prototype. The flaw everyone is making is that they are over focusing on the artifact and not that they have a shared tangible object that they can both editorialize and iterate on.
These systems should allow rapid iteration on discovery and thinking. One can now make a prototype a day that would have taken a week. That means that we should be able to converge on a much better design in the same amount of time it would have taken to make a v0 that turns how to have systemic flaws.
AI should scale our understanding of systems, not just shovel out half baked features and apps.