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Ask HN: Is anyone else sick of AI splattered code

75 points throwaway-ai-qs | 1 comments | 17 Sep 25 17:29 UTC | HN request time: 0s | 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.

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duxup ◴[17 Sep 25 17:40 UTC] No.45278939[source]▶
I'm really not seeing a lot of code that I can say is bad AI code.

I and my coworkers use AI, but the incoming code seems pretty ok. But my view is just my current small employer.

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whycome ◴[17 Sep 25 18:42 UTC] No.45279754[source]▶
The breadth of industry is so vast that people have wildly different takes on this. For a lot of simple coding tasks (eg custom plugins or apps) an LLM is not only efficient, but extremely competent. Some traditional coders are having a harder time working with them when a major challenge comes from defining the problem and constraints well. It’s usually something kept in head. So, new skill sets are emerging and being refined. The ones that thrive here will not be coders, but it will be generalists with excellent management and communication skills.
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1. duxup ◴[17 Sep 25 19:10 UTC] No.45280102[source]▶
Yeah most of my team is using an LLM for "make this function better", or learning, or just somewhat smaller bites or code that an LLM will work well with. So we don't see the "hey rewrite this whole 20 year old complicated application, omg it didn't work" kind of sitiatons.