this post was submitted on 12 Jul 2025
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Programming

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[–] Phen@lemmy.eco.br 21 points 2 days ago (2 children)

Reading the paper, AI did a lot better than I would expect. It showed experienced devs working on a familiar code base got 19% slower. It's telling that they thought they had been more productive, but the result was not that bad tbh.

I wish we had similar research for experienced devs on unfamiliar code bases, or for inexperienced devs, but those would probably be much harder to measure.

[–] vrighter@discuss.tchncs.de 9 points 1 day ago

1% slowdown is pretty bad. You'd still do better just not using it. 19% is huge!

[–] staircase@programming.dev 16 points 2 days ago (2 children)

I don't understand your point. How is it good that the developers thought they were faster? Does that imply anything at all in LLMs' favour? IMO that makes the situation worse because we're not only fighting inefficiency, but delusion.

20% slower is substantial. Imagine the effect on the economy if 20% of all output was discarded (or more accurately, spent using electricity).

[–] Phen@lemmy.eco.br 7 points 1 day ago

I'm not saying it's good, I'm saying I expected it to be even worse.

[–] FizzyOrange@programming.dev 2 points 1 day ago

Does that imply anything at all in LLMs’ favour?

Yes it suggest lower cognitive load.