Comment on I Went All-In on AI. The MIT Study Is Right.
logicbomb@lemmy.world 3 weeks agoIt’s more like the ancient phenomenon of spaghetti code. You can throw enough code at something until it works, but the moment you need to make a non-trivial change, you’re doomed. You might as well throw away the entire code base and start over.
And if you want an exact parallel, I’ve said this from the beginning, but LLM coding at this point is the same as offshore coding was 20 years ago. You make a request, get a product that seems to work, but maintaining it, even by the same people who created it in the first place, is almost impossible.
jbloggs777@discuss.tchncs.de 3 weeks ago
Indeed… Throw-away code is currently where AI coding excels. And that is cool and useful - creating one off scripts, self-contained modules automating boilerplate, etc.
You can’t quite use it the same way for complex existing code bases though… Not yet, at least…
de_lancre@lemmy.world 3 weeks ago
Yes, that exactly how I use cursor and local llms. There a ton of cases, where you need one time script to prepare data/sort thru data/fetch data via API, etc. Even something simple like adding role on discord channel (god save you, if your company uses that piece of crap for communication), that can be done with script too, especially if you need to add role to thousands of users, for example. Of course, it can be done properly by normal development cycle, but that expensive, while shitcoding thru cursor can be done by anyone.