> devs had hardly any experience with using AI tools.
I love it, here come the "you are using it wrong" arguments!
I thought these tools are so great, so awesome, that even without much experience they will help you? Or are they not so great and you actually gotta spend a considerable amount of time of learning them to see some return? Which one is it:
- are LLMs groundbreaking and democratizing development making it so much easier (which doesn't correspond to the results of the study)
- or do they need months of practice to give a modest return (or loss) of productivity back?
"You are using it wrong" is the cheapest cop-out when somebody questions the productivity benefits of LLMs. I'd like the LLM fanbase community to come up with better arguments (or ask their little assistant for assistance).
>I thought these tools are so great, so awesome, that even without much experience they will help you?
I never made that claim, I don't think it's generally true, but I do think it can be true for some people.
Regarding the study, I pointed out why I thought it was limited in its scope. If someone did a study on the potential productivity gains of using emacs and they based the study on people who had only used it for a week it wouldn't be a particularly useful study. A Piano is not a useful tool for making music for someone who has only used it for a week either.
I do have a customer with no prior programming experience that has created custom software for his own small manufacturing business automating tedious tasks. I think that's pretty amazing and so does he.
I love it, here come the "you are using it wrong" arguments!
I thought these tools are so great, so awesome, that even without much experience they will help you? Or are they not so great and you actually gotta spend a considerable amount of time of learning them to see some return? Which one is it:
- are LLMs groundbreaking and democratizing development making it so much easier (which doesn't correspond to the results of the study)
- or do they need months of practice to give a modest return (or loss) of productivity back?
"You are using it wrong" is the cheapest cop-out when somebody questions the productivity benefits of LLMs. I'd like the LLM fanbase community to come up with better arguments (or ask their little assistant for assistance).
https://news.ycombinator.com/item?id=44854649