Microtransactions for devs
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I mean, it's not like it ships it to production. You can read code it writes and modify it if you don't like it, or choose not to use it.
If you can read the code it writes and modify it, a project manager can remove that time from you and take the AI slop direct to production.
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I asked it to translate all my string to another language. So I guess i18n support. It's decent.
And you are sure it's not spewing hallucinations or neo-fascism in a language you don't understand... why?
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If you can read the code it writes and modify it, a project manager can remove that time from you and take the AI slop direct to production.
That's a different problem. The original question was when would a competent dev use an LLM.
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In which case would a competent dev use an LLM?
It's outstanding at bridging the gap between "I need to mash these two concepts/technologies together" and "the answer is spread across six different StackOverflow threads." Hunting that stuff down using Google has been a delicate operation even at the best of times in the last 25 years, but it always took a lot of time. With an LLM and each such query, I've saved hours, maybe even whole workdays. Fact-checking an AI takes far less effort.
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At this point, this movie is probably older than most of the people that use this meme template.
brb crawling into a hole and crying
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If you can read the code it writes and modify it, a project manager can remove that time from you and take the AI slop direct to production.
Another good reason to never let the company's project become your project.
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And you are sure it's not spewing hallucinations or neo-fascism in a language you don't understand... why?
You should try using an LLM to translate things. It's wctually pretty good compared to more traditional translators. I think translation is actually an area LLMs excels in.
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In which case would a competent dev use an LLM?
Boring, tedious shit that doesn’t require brainpower, just time, when fixing whatever comes out of the LLM is less annoying than doing it myself.
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I very rarely find result summarizers useful. If I didn't find something normally, there won't be anything in there.
I sure love tests and huge codebases with errors in them. In the time I read and understood an LLM's output, I could write it myself. And save on time later when expanding/debugging.
When yarn/react/next.js/amplify breaks in some new and idiotic way, Claude is helpful more often than not. Why spend hours googling and sifting through github/stack overflow/etc when Claude can tell me what option to tweak to fix it in a fraction of the time?
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That's a different problem. The original question was when would a competent dev use an LLM.
Which the answer is: never. If they did, by definition they would not be competent (unless they are being specifically trained in how to avoid code slop).
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You should try using an LLM to translate things. It's wctually pretty good compared to more traditional translators. I think translation is actually an area LLMs excels in.
Why would I do that when I can talk to a human? (or, at least, something in the internet that pretends to be that)
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Why would I do that when I can talk to a human? (or, at least, something in the internet that pretends to be that)
You've never needed to translate something before? As an example at a grocery store sometimes there are foods with instructions in other languages. Sometimes the entire item is in another language and I want to know what it is.
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You've never needed to translate something before? As an example at a grocery store sometimes there are foods with instructions in other languages. Sometimes the entire item is in another language and I want to know what it is.
And I'd ask ten people before a machine. If I had to ask a machine, then I'd have to ask 9 people anyway just to verify if the machine answer is any trustable; after all, the entire point is I couldn't do it myself.
