ES version is available. Content is displayed in original English for accuracy.
Advertisement
Advertisement
⚡ Community Insights
Discussion Sentiment
100% Positive
Analyzed from 155 words in the discussion.
Trending Topics
#everything#company#lot#cases#cannot#better#applications#llms#ability#translate

Discussion (2 Comments)Read Original on HackerNews
My company is reaching for AI on much more than this, and of course it's just a personal anecdote, but throwing AI generated code + documentation into our codebase en masse has reduced our understanding of the system as a whole, it's caused a lot of "rubber stamping" on PR reviews, and it's introduced a layer of complexity that we're now going to deal with forever (provided we continue to use AI for everything). Your mileage may vary, my company doesn't adopt what I would consider "good engineering practices".
I'm hopeful that in a few years we can truly settle on the best use cases for AI, rather than considering it an everything tool. Not saying it cannot do a LOT, but from my experience I have found that it just cannot do everything (but we sure are trying).
Amazing for systematic refactoring that has a predictable outcome, but would need an ungodly amount of manual labor.