Comment by majormajor

> Is it bad at that stuff, or do I just need to figure out how to prompt the LLM? To return to the topic of this thread, I think we're seeing a lot of different opinions on LLM generated code for 3 reasons:

I think there's definitely a bit of both. Some things are easier to prompt "adequately." Some domains or types of requests are tougher.

The billion dollar question (well, trillion dollar, looking at the valuations of OpenAI and Anthropic) is will that change enough to actually replace the highly-paid people who currently are needed to make sure shit doesn't go sideways? They're betting that they can solve the "turn a bad prompt into a good-enough series of prompts" problem generically for everyone.

And where exactly that lands could have a lot of knock-on effects. The easy targets are things like SaaS that is only valuable because of economies of scale but the problems are "simple" if you don't have that scale.

But even there, there's a lot of echoes of the past, where things like ad-hoc Access apps or spreadsheets powered (or still power!) a bunch of business processes in lieu of SaaS products. How much appetite is there long-term for large businesses to really go back to owning all that in-house?

Also a fun irony in that the trillion-dollar-valuation world is basically "the biggest SaaS of them all" and those companies have a huge target on them and at that point practically everyone else in the world would be gunning for them. If they do find that "good enough" point, they also have to hope that nobody can replicate it for less anytime soon... (but they'll also have given those folks aiming at doing just that a great tool for helping build those systems).