That’s the same story I had. The swindle goes like this, AI on a good codebase can build a lot of features, you think it’s faster it even seems safer and more accurate on times, especially in domains you don’t know everything about. This goes in for a while whilst the codebase gets bigger and exploration takes longer and failure rate increases. You don’t want it to be true and try harder so you only stop after it pra…
I find it interesting that this outcome is a surprise. I don't want this to sound smug, I'm genuinely curious what the initial expectations are and where they come from. They seem to be different for LLMs, because would anyone be surprised if they handed summary feature descriptions to some random "developer" you've ever only met online, and got back an absolute dung pile of half-broken implementation? For some reaso…
It is surprising how bad it is at taking the lead given how effective it is with a much more limited prompt, particularly if you buy in to all the hype that it can take the place of human intelligence. It is capable of applying a incredible amount of knowledge while having virtually no real understanding of the problem.