LLMs are good at prototyping something that is similar to something that already exists and is open sourced.
It may be that there are such projects which can be monetized or need better marketing.
Innovative it is not, however.
It may be that there are such projects which can be monetized or need better marketing.
Innovative it is not, however.
Almost nobody is making things that are so unlike everything that previously existed that LLMs can't help.
LLMs are good at prototyping using data across _all_ similar projects that exist.
It is not a 1-1 copy.
Most frontend is a dozen components. Most backend again is a handful of architectures when it comes to DB/business logic, CRUD.
It goes to say that if you can guide the LLM to build something innovative you can think of, it will put those components together in a reasonable way - good enough to start off with.
Startups that typically end up in incubators etc are not about new fundamental systems (languages, frameworks, theoretical methodologies etc), but rather about new products.
I recognize that in reality this hasn't always worked out. But I also don't think that the answer is a black box that can churn out questionable boiler-plate.