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Ignoring lemmyhate, are programmers really using AI to be more efficient? (sh.itjust.works)

submitted 2 days ago by bridgeenjoyer@sh.itjust.works to c/programming@programming.dev

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I've seen a few articles saying that instead of hating AI, the real quiet programmers young and old are loving it and have a renewed sense of purpose coding with llm helpers (this article was also hating on ed zitiron, which makes sense why it would).

Is this total bullshit? I have to admit, even though it makes me ill, I've used llms a few times to help me learn simple code syntax quickly (im and absolute noob who's wanted my whole life to learn code but cant grasp it very well). But yes, a lot of time its wrong.

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[–] MagicShel@lemmy.zip 1 points 1 day ago* (last edited 1 day ago)

I'm generally much better at writing regex than ChatGPT. Though I will say, I needed the regex for ISO 3339 date format just yesterday for validation and copilot/Claude provided a more specific version than Google search. I still have to go back and double check the corporate standard as I suspect we only allow offsets from UTC and all implementations I looked at are too permissive.

I've had middling experience with bash. The scripts I wrote are generally petty basic. Set a few variables based on the current project and then execute some gcloud or Tekton commands. And I don't write them often so it finds and fixes things I often forget like not being allowed to have spaces around =.

I think the more externalities that need to be considered to come up with a correct answer, the less reliable ChatGPT is because there are a lot of externalities it doesn't really know to consider. Bash has a huge number of externalities that might affect the correct way of doing something.

I should experiment with more functional languages. "Pure functions" are really good at minimizing externalities. Worth investigating.