Researchers have found that large language models (LLMs) tend to parrot buggy code when tasked with completing flawed snippets.
That is to say, when shown a snippet of shoddy code and asked to fill in the blanks, AI models are just as likely to repeat the mistake as to fix it.
That sounds exhausting to me.
Like seriously what busywork is so routine and so basic that you need an AI to do it but couldn’t make a template for it? And how is it less work to read what it gave you to check for errors? That’s always the harder part of coding in my experience.
I would love to know the specifics of where this supposedly saves time.
I suspect the energy you’re putting into learning this tool could go into becoming a better typist, and you wouldn’t need to cook the planet to do it.