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Vibe coding as a coding veteran: from 8-bit assembly to English-as-code

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181 points thunderbong | 1 comments | 28 Aug 25 15:55 UTC | HN request time: 0.266s | source
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mycentstoo ◴[31 Aug 25 13:57 UTC] No.45083181[source]▶
I believe choosing a well known problem space in a well known language certainly influenced a lot of the behavior. AIs usefulness is correlated strongly with its training data and there’s no doubt been a significant amount of data about both the problem space and Python.

I’d love to see how this compares when either the problem space is different or the language/ecosystem is different.

It was a great read regardless!

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1. dazzawazza ◴[01 Sep 25 12:17 UTC] No.45092126[source]▶
I think you are correct. I work in game dev. Almost all code is in C/C++ (with some in Python and C#).

LLMs are nothing more than rubber ducking in game dev. The code they generate is often useful as a starting point or to lighten the mood because it's so bad you get a laugh. Beyond that it's broadly useless.

I put this down to the relatively small number of people who work in game dev resulting in relatively small number of blogs from which to "learn" game dev.

Game Dev is a conservative industry with a lot of magic sauce hidden inside companies for VERY good reasons.