this post was submitted on 03 Sep 2024
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So far my experience with ai is it cannot evaluate the quality of the data it uses to any significant degree. As such it can summarize which is convenient for searching and give examples but ultimately you have to correct its mistakes and know enough to do so. There is some savings for a programmer in the sense you might be able to get some rough scaffolding and its a bit eaiser to identify relevant search links but I don't see it replacing developers. It definitely allows one to do more though or even increase the quality. One really great thing it can do is auto commenting of the code which does not need as much improvement as actual code and makes it more likely for you to do the task (both because it does it and because it causes you to go. no don't explain it like that). Is similarly helps with documentation. I doubt it could more than double productivity though. At least as how it stands now. Im not sure it can do much better without becoming general ai.
But then it only comments the 'what', it cannot possibly know the 'why'. I know, some devs disagree on that, but personally, I would rather not have what-comments in my code.
I almost never put why. this cycles though hostnames and parses out blah blah blah. I guess I assume the why is self evident.