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181 points thunderbong | 1 comments | | HN request time: 0.386s | source
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stavros ◴[] No.45083136[source]
I've come to view LLMs as a consulting firm where, for each request, I have a 50% chance of getting either an expert or an intern writing my code, and there's no way to tell which.

Sometimes I accept this, and I vibe-code, when I don't care about the result. When I do care about the result, I have to read every line myself. Since reading code is harder than writing it, this takes longer, but LLMs have made me too lazy to write code now, so that's probably the only alternative that works.

I have to say, though, the best thing I've tried is Cursor's autocomplete, which writes 3-4 lines for you. That way, I can easily verify that the code does what I want, while still reaping the benefit of not having to look up all the APIs and function signatures.

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kaptainscarlet ◴[] No.45083197[source]
I've also had a similar experience. I have become too lazy since I started vibe-coding. My coding has transitioned from coder to code reviewer/fixer vey quickly. Overall I feel like it's a good thing because the last few years of my life has been a repetition of frontend components and api endpoints, which to me has become too monotonous so I am happy to have AI take over that grunt work while I supervise.
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stavros ◴[] No.45083285[source]
Yeah, exactly the same for me. It's tiring writing the same CRUD endpoints a thousand times, but that's how useful products are made.
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foolserrandboy ◴[] No.45087409{3}[source]
I wonder why it’s not the norm to use code generation or some other form of meta programming to handle this boring repetitive work?
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1. Cthulhu_ ◴[] No.45091151[source]
Because in practice the API endpoint isn't what takes up the time or LOC, but what's underneath. In fact, there's plenty of solutions to e.g. expose your database / data storage through an API directly. But that's rarely what you really want.