Here’s the thing from the skeptic perspective: This statement keeps getting made on a rolling basis. 6 months ago if I wasn’t using the life-changing, newest LLM at the time, I was also doing it wrong and being a luddite.
It creates a never ending treadmill of boy-who-cried-LLM. Why should I believe anything outlined in the article is transformative now when all the same vague claims about productivity increases were being made about the LLMs from 6 months ago which we now all agree are bad?
I don’t really know what would actually unseat this epistemic prior at this point for me.
In six months, I predict the author will again think the LLM products of 6 month ago (now) were actually not very useful and didn’t live up to the hype.
otherwise, yes, you'll continue to be irritated by AI hype, maybe up until the point where our civilization starts going off the rails
- they can't be aware of the latest changes in the frameworks I use, and so force me to use older features, sometimes less efficient
- they fail at doing clean DRY practices even though they are supposed to skim through the codebase much faster than me
- they bait me into inexisting apis, or hallucinate solutions or issues
- they cannot properly pick the context and the files to read in a mid-size app
- they suggest to download some random packages, sometimes low quality ones, or unmaintained ones
of course they can, teach them / feed them latest changes or whatever you need (much like another developer unaware of the same thing)
they fail at doing clean DRY practices even though they are supposed to skim through the codebase much faster than me
tell them it is not DRY until they make it DRY. for some (several projects I’ve been involved with) DRY is generally anti-pattern when taken to extremes (abstraction gone awry etc…). instruct it what you expect and it and watch it deliver (much like you would another developer…)
they bait me into inexisting apis, or hallucinate solutions or issues
tell it when it hallucinates, it’ll correct itself
they cannot properly pick the context and the files to read in a mid-size app
provide it with context (you should always do this anyways)
they suggest to download some random packages, sometimes low quality ones, or unmaintained ones
tell it about it, it will correct itself
perhaps ppl building crud webapps have different experience than ppl building something niche?