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by johnfn
302 days ago
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> Regarding the memory of reasoning from LLMs, I think the issue is that even if you can solve it in the future, you already have code for which you've lost the artifacts associated with the original generation. Overall I find there's a lot of talks (especially in the mainstream media) about AI "always learning" when they don't actually learn new anything until a new model is released. But this already exists! At work, our code is full of code where the original reasoning for the code is lost. Sometimes someone has forgotten, sometimes the person who wrote it is no longer at the company any more, and so on. > Correct, but humans writing code don't lead to a Bus Factor of 0, so it's easier to go back, understand what is wrong and address it. But there are plenty of instances where I work with code that has a bus factor of 0. The conclusion of your article is that vibe coding is "fundamentally flawed". But every aspect you've described about vibe coding has an analog in normal software engineering, and I don't think you would claim that is "fundamentally flawed". |
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