> The initial excitement of LLMs has significantly cooled off, the model releases show rapidly diminishing returns if not outright equilibrium and the only vibe-coded software project I've seen get any actual public use is Claude Code, which is riddled with embarrassing bugs its own developers have publicly given up on fixing. The only thing I see approaching any kind of singularity is the hype.
I am absolutely baffled by this take. I work in an objectively high stakes environment (Big 3 cloud database provider) and we are finally (post Opus 4.5) seeing the models and tools become good enough to drive the vast majority of our coding work. Devops and livesite is a harder problem, but even there we see very promising results.
I was a skeptic too. I was decently vocal about AI working for single devs but could never scale to large, critical enterprise codebases and systems. I was very wrong.
> I work in an objectively high stakes environment (Big 3 cloud database provider) and we are finally (post Opus 4.5) seeing the models and tools become good enough to drive the vast majority of our coding work
Please name it. If it’s that good, you shouldn’t be ashamed of doing so and we can all judge by ourselves how the quality of the service evolves.
Has it occurred to you, especially since one of the economists in the joke admits they feel they ate shit for nothing, that they actually do not feel the exercise was worth it? Have you never spent money on something, thinking it would be worth it, then afterwards realised it was a waste of money? Have you also never taken a job and then realised “I didn’t charge enough for the trouble”?
I’m reminded of a bit of news I heard a while back, where one teenager challenged a friend to eat rat shit they found on the street. The eater died shortly after, because the poop contained rat poison. I doubt any of them found it worth it.