[NMTri1110]

Nowadays, people often optimize for short feedback loops, it's every where from the way we consume, to the way we work. It's so much faster to get feedback when you build with AI, a feature only take 1-2 days compared to traditional coding which can take a few days just to debug a few things. If we could significantly shorten the feedback loop with deterministic programming (make debugging way faster, make writing code easier, make building things more high level) that would bring back people's interest. I also think that if the cons of AI is more evident, people will use it less. In AI I also like the fact that it's so easily customizable to my specific case, specific wants and needs, C, Java, Python don't have customizable functions where I can just enter my wants, needs, context and get the thing I want, if I need to get something I want, customize something I need to read docs and learn how to do that, this corresponds to longer feedback loop and less convenience.

But there are problems that needs more nuances and not necessarily deterministic, in those cases AI could help.