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75 points throwaway-ai-qs | 1 comments | | HN request time: 0.199s | source

Between code reviews, and AI generated rubbish, I've had it. Whether it's people relying on AI to write pull request descriptions (that are crap by the way), or using it to generate tests.. I'm sick of it.

Over the year, I've been doing a tonne of consulting. The last three months I've watched at least 8 companies embrace AI generated pip for coding, testing, and code reviews. Honestly, the best suggestions I've seen are found by linters in CI, and spell checkers. Is this what we've come to?

My question for my fellow HNers.. is this what the future holds? Is this everywhere? I think I'm finally ready to get off the ride.

1. juancn ◴[] No.45279551[source]
I only use small local models like those of IntelliJ (under 100M each), which just save you the tedium of typing some common boilerplate.

But I don't prompt them, they typically just suggest a completion, usually better than what we had before from pure static analysis.

Anything more it detracts. I learn nothing, and the code is believable crap, which requires mindbogglingly boring and intense code reviews.

It's sometimes fine to prototype throw-away code (specially if you don't to intend to invest in learning the tech deeply), but I don't like what I miss by not doing the thinking by myself.