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AI coders think they’re 20% faster — but they’re actually 19% slower (pivot-to-ai.com)
submitted 1 year ago by to c/programming@programming.dev
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[–] 6 points 1 year ago* (1 child)

I find it more useful doing large language transformations and delving into unknown patterns, languages or environments.

If I know a source head to toe, and I'm proficient with that environment, it's going to offer little help. Specially if it's a highly specialized problem.

Since SVB crash there have been firings left and right. I suspect AI is only an excuse for them.

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  • [–] 7 points 1 year ago (1 child)

    Same experience here, performance is mediocre at best on an established code base. Recall tends to drop sharply as the context expands leading to a lot of errors.

    I've found coding agents to be great at bootstrapping projects on popular stacks, but once you reach a certain size it's better to either make it work on isolated files, or code manually and rely on the auto complete.

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  • [–] 4 points 1 year ago

    So far I've only found it useful when describing bite-sized tasks in order to get suggestions on which functions are useful from the library/API I'm using. And only when those functions have documentation available on the Internet.

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