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1244 points adrianh | 1 comments | | HN request time: 0.208s | source
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kragen ◴[] No.44491713[source]
I've found this to be one of the most useful ways to use (at least) GPT-4 for programming. Instead of telling it how an API works, I make it guess, maybe starting with some example code to which a feature needs to be added. Sometimes it comes up with a better approach than I had thought of. Then I change the API so that its code works.

Conversely, I sometimes present it with some existing code and ask it what it does. If it gets it wrong, that's a good sign my API is confusing, and how.

These are ways to harness what neural networks are best at: not providing accurate information but making shit up that is highly plausible, "hallucination". Creativity, not logic.

(The best thing about this is that I don't have to spend my time carefully tracking down the bugs GPT-4 has cunningly concealed in its code, which often takes longer than just writing the code the usual way.)

There are multiple ways that an interface can be bad, and being unintuitive is the only one that this will fix. It could also be inherently inefficient or unreliable, for example, or lack composability. The AI won't help with those. But it can make sure your API is guessable and understandable, and that's very valuable.

Unfortunately, this only works with APIs that aren't already super popular.

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afavour ◴[] No.44492216[source]
From my perspective that’s fascinatingly upside down thinking that leads to you asking to lose your job.

AI is going to get the hang of coding to fill in the spaces (i.e. the part you’re doing) long before it’s able to intelligently design an API. Correct API design requires a lot of contextual information and forward planning for things that don’t exist today.

Right now it’s throwing spaghetti at the wall and you’re drawing around it.

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1. simonw ◴[] No.44492500[source]
I find it's often way better than API design than I expect. It's seen so many examples of existing APIs in its training data that it tends to have surprisingly good "judgement" when it comes to designing a new one.

Even if your API is for something that's never been done before, it can usually still take advantage of its training data to suggest a sensible shape once you describe the new nouns and verbs to it.