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[return to "Measuring the impact of AI on experienced open-source developer productivity"]
1. noisy_+g5[view] [source] 2025-07-10 17:04:56
>>dheera+(OP)
It is 80/20 again - it gets you 80% of the way in 20% of the time and then you spend 80% of the time to get the rest of the 20% done. And since it always feels like it is almost there, sunk-cost fallacy comes into play as well and you just don't want to give up.

I think an approach that I tried recently is to use it as a friction remover instead of a solution provider. I do the programming but use it to remove pebbles such as that small bit of syntax I forgot, basically to keep up the velocity. However, I don't look at the wholesale code it offers. I think keeping the active thinking cap on results in code I actually understand while avoiding skill atrophy.

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2. eknkc+c9[view] [source] 2025-07-10 17:28:19
>>noisy_+g5
It works great on adding stuff to an already established codebase. Things like “we have these search parameters, also add foo”. Remove anything related to x…
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3. antonv+La[view] [source] 2025-07-10 17:35:50
>>eknkc+c9
Exactly. If you can give it a contract and a context, essentially, and it doesn't need to write a large amount of code to fulfill it, it can be great.

I just used it to write about 80 lines of new code like that, and there's no question it saves time.

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