It's interesting to think there's still a market for this type of small scale enthusiast application.
One scenarios I've been thinking about recently is the death of the generic app.
If LLMs end up being able to create software easily, why wouldn't we choose to have software that's totally aligned our specific needs?
If the persistence of something incurs a cost in storage and security, and the traditional penalties of efficiency and learning-curves are removed, why not recreate it every time its needed?
As an analogue to this; would each iteration adapt and evolve in the same way an organism might?
As a thought exercise: if I could automatically generate, at no cost in money or time, a "disposable" vehicle for every single trip I took, wouldn't it make sense that it would be different every time, even though the basic requirement (transportation) is the same? Why bother generating a car with A/C if it's cold out? Why have a passenger seat if I'm just going to the corner store for milk?
Knowing where the AC always is, could be seen as a benefit (even if you don't want to use it).
By aim for iterative improvements, the system could focus on personal contextual features; and the way we end up using a product over time.
Let's turn that on it's head: maybe we engage with AI/AI products that seem to just provide outcomes we prefer. Let's say all AI will probably be able to generate all manner of things, but we might like Z AI because when I ask for Y kind of widget it builds ones I seem to just...prefer more. It seems to "just get me".
If the AI has a very close link to you, and observes a lot of what you do, it might have a much clearer idea of what you want and need.
And if it was linked to your mind ...