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214 points Brajeshwar | 2 comments | | HN request time: 0.497s | source
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yodsanklai ◴[] No.45087351[source]
Seems about right for me (older developer at a big tech company). But we need to define what it means that the code is AI-generated. In my case, I typically know how I want the code to look like, and I'm writing a prompt to tell the agent to do it. The AI doesn't solve any problem, it just does the typing and helps with syntax. I'm not even sure I'm ultimately more productive.
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ojosilva ◴[] No.45087883[source]
I didn't see much mention of tab-completions in the survey and comments here. To me that's the ultimate coding AI is doing at my end, even though it seems to pass unnoticed nowadays. It's massive LOC (and comments!), and that's were I find AI immensely productive.
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StrandedKitty ◴[] No.45088217[source]
Does it even fall into "AI-generated" category? GitHub Copilot has been around for years, I certainly remember using it long before the recent AI boom, and at that time it wasn't even thought of as any kind of a breakthrough.

And at this point it's not just a productivity booster, it's as essential as using a good IDE. I feel extremely uncomfortable and slow writing any code without auto-completion.

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1. sramam ◴[] No.45088436[source]
I think there is a difference between type system or Language Server completions and AI generated completion.

When the AI tab completion fills in full functions based on the function definition you have half typed, or completes a full test case the moment you start type - mock data values and all, that just feels mind-reading magical.

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2. spockz ◴[] No.45089525[source]
I haven’t tried it lately but how well are these models in generating property based tests?