Human coders are still better than LLMs
antirez.com
Human coders are still better than LLMs
1–10 of 762 posts
Re: Human coders are still better than LLMs
#2of course they are.
Re: Human coders are still better than LLMs
#3The question is, for how long?
Re: Human coders are still better than LLMs
#4The question is, for how long?
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Re: Human coders are still better than LLMs
#5This matches my experience. I actually think a fair amount of value from LLM assistants to me is having a reasonably intelligent rubber duck to talk to. Now the duck can occasionally disagree and sometimes even refine.
https://en.m.wikipedia.org/wiki/Rubber_duck_debugging
I think the big question everyone wants to skip right to and past this conversation is, will this continue to be true 2 years from now? I don’t know how to answer that question.
Re: Human coders are still better than LLMs
#6Sure, human coders will always be better than just AI. But an experienced developer with AI tops both. Someone said, your job won't be taken by AI, it will be taken by someone who's using AI smarter than you.
Re: Human coders are still better than LLMs
#7“Better” is always task-dependent. LLMs are already far better than me (and most devs I’d imagine) at rote things like getting CSS syntax right for a desired effect, or remembering the right way to invoke a popular library (e.g. fetch)
These little side quests used to eat a lot of my time and I’m happy to have a tool that can do these almost instantly.
Re: Human coders are still better than LLMs
#8for now. (i'm not a bot. i'm aware however a bot would say this)
Re: Human coders are still better than LLMs
#9I agree, but I also didn’t create redis!
It’s a tough bar if LLMs have to be post antirez level intelligence :)
Re: Human coders are still better than LLMs
#10We aren't expecting LLMs to come up with incredibly creative software designs right now, we are expecting them to execute conventional best practices based on common patterns. So it makes sense to me that it would not excel at the task that it was given here.
The whole thing seems like a pretty good example of collaboration between human and LLM tools.