In a world where AI is writing the code, who cares what libraries it is using? I don't really have to touch the code that much, I just need it to work. That's the future we're headed for, at lightning speed.
In a world where AI is writing the code, who cares what libraries it is using? I don't really have to touch the code that much, I just need it to work. That's the future we're headed for, at lightning speed.
I've been playing around with embedded systems, specifically LoRa libraries on ESP32s. Code from LLMs is next to useless for a lot of what I'm trying to do since it is relatively niche.
This attitude works for write-and-forget workflows where the only thing that matters is whether it returns the answer you want (AKA "hacking it").
Once you add in other concerns: security, performance, maintainability, it can fall apart.
Does anyone care about that? E.g. CRWD is all time high, after all. There is zero need to change anything according to market.
Yes
Presumably the people who have to read, debug and maintain the resulting garbage.
Then again, we have so much garbage code before LLMs, that it was clearly never that important.