I agree it’s very mixed, it strongly depends on what you are developing, how big and established your codebase is, how opinionated you are about simple vs overdone, how many subtle and nonlocal interactions your codebase has, etc. Plus the more experienced you are the more you are likely to reject the AI solution as not well considered, whereas to someone new may think it looks plausible and confident.
replyYes, they're very good at writing code now. The problem is that we (or at least I am) drowning in code that runs and does something that resembles the problem you asked it to solve, but that something is frequently semantically incorrect.
replySomething has to give; the constant onslaught of slop and workflows changing every few months just isn't sustainable. Either we slow the fuck down and figure out what we're even doing here, or the AI improves so much that we're all out of a job.
They're great and you don't have to review everything.
replyFrom what you're always commenting, I could believe that you were exclusively using Haiku 4.5, which would explain how the tool produces only garbage while the rest of the world pretends AI was great.
Just out of curiosity, do you use like Opus 5.5 in Claude Code, and you still find the results inadequate?
I’m not the commenter you’re replying to, but IME with the recent models (like Opus 5.5, Fable, etc) - yes, still inadequate. As a sibling comment states, it’s average code. Which also makes complete sense.
That bar is too low for me
replythey're about as great as an average developer. See rsync fixing their fabled code for some time now. They also have more output than the average programmer. so...
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