this post was submitted on 03 Jun 2025
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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.
If you read the commentary on the process you notice heavy reliance on experts in the field to ensure the code is good and secure. Claude is great at pumping out code, but it can really get confused and forget/omit earlier work, for example.
I think the notion of junior developers disappearing because of AI is false. These tools accelerate productivity, they don't replace human experience.
I think this take undervalues the AI. I think we self select for high quality code and high quality engineers
But many of us would absolutely gawk at something like Dieselgate. That is real code running in production on safety critical machinery.
I'm basically convinced that Claude would have done better
Dieselgate wasn't a "bug" it was an designed in feature to circumvent emissions. Claude absolutely would have done the same, since it's exactly what the designers would have asked it for. Somehow I doubt it would have gone undetected as long if Claude wrote it tho, it'd probably mess it up some other way.
You should look into how Dieselgate worked
I don't think you understand my take
I guess that makes it a bad analogy