This seems like a perfectly reasonable experiment and not something they’re going to release without extensive human and security review.
Oauth libraries aren’t new and A.I. can probably generate adequate code. My main problem with A.I. for this purpose is that senior developers/experts don’t pop out of thin air. You need junior developers now if you want any real experts in the future. Maybe you need fewer and more specialized training. Maybe the goal is to offload the training cost to Universities and tech companies only want PhDs. Maybe someday LLMs will be good enough to not need much supervision. But that’s not where we are.
We probably need a Level x capability scale like self-driving cars for this sort of thing.
drspod@lemmy.ml 2 days ago
Looking through the commit history there are numerous “Manually fixed…” commits, where the LLM doesn’t do what the programmer wants after repeated prompting, so they fix it themself.
And here is the problem. It required expert supervision for the prompts to be repeatedly refined, and the code manually fixed, until the code was correct. This doesn’t save any labour, it just changes the nature of programming into code review.
If this programmer wasn’t already an expert in this problem domain then I have no doubt that this component would be full of bugs and security issues.
Kusimulkku@lemm.ee 2 days ago
So you claim
anus@lemmy.world 2 days ago
Agreed, and yet the AI accelerated the project
drspod@lemmy.ml 2 days ago
So they claim.
KairuByte@lemmy.dbzer0.com 1 day ago
The fact hat multiple experts reviewed every line of code by hand, I have to say this is impossible unless you’re comparing it to “the junior devs wrote it all and I just kept correcting hem.”