this post was submitted on 07 Dec 2025
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It's more like the ancient phenomenon of spaghetti code. You can throw enough code at something until it works, but the moment you need to make a non-trivial change, you're doomed. You might as well throw away the entire code base and start over.
And if you want an exact parallel, I've said this from the beginning, but LLM coding at this point is the same as offshore coding was 20 years ago. You make a request, get a product that seems to work, but maintaining it, even by the same people who created it in the first place, is almost impossible.
Indeed.. Throw-away code is currently where AI coding excels. And that is cool and useful - creating one off scripts, self-contained modules automating boilerplate, etc.
You can't quite use it the same way for complex existing code bases though... Not yet, at least..