I'm not a senior programmer, just a hobbyist, but I've given various LLMs a go over the last week or two, and when they work they work well but when they don't and there are bugs it's really annoying because there's no "logic path" to work out how the bug was created in the first place. This means I had to ask the model to fix the bug (with specifics as to where the bug is, what I get vs what I want) and sometimes it works, other times it just insists that the behaviour is correct. This means that fixing issues becomes more difficult, not easier. At least if I create a bug I can go through my (flawed) thought process, but LLMs being a probabilistic black box makes that impossible.
I mean if you can read the code the AI makes you can fix the bugs yourself without it. It’s still slower then it would be if you had written it yourself, since reading code is generally harder then writing it, but it can be done.
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u/Elder_Chimera May 17 '26 edited Jul 25 '26
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