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.
Exactly. I have a coworker use it effectively.
Personally, I’ve been around the block so it’s usually faster for me to just do the busy work myself. I have lots of tricks for manipulating text quickly (I’m quite proficient with vim), so it’s not a big deal to automate turning JSON into a serializer class or copy and modify a function a bunch of times to build out a bunch of controllers or something. What takes others on my team 30 min I can sometimes get done in 5 through the power of regex or macros.
But at the end of the day, it doesn’t really matter what tools you use because you’re not being paid for your typing speed or ability to do mundane work quickly, you’re being paid to design and support complex software.