Reminds me of those people claiming they’re “10x more productive” and “doing the work of entire teams”. With so much increased productivity, I would assume these results would be plainly visible through rapidly improving featureful applications, but instead we see declining quality in established software (e.g. windows 11) and a whole lot of garbage nobody wants to deal with like slop PR spam and these app releases.
It’s horrible. I have a client whose whole setup is based on Google drive and the APIs shit the bed constantly. It’s only getting worse they are so careless about these products that they might as well be legacy.
The place I work for has a hardcore vibe coder and today I found out none of the e2e tests pass because there is no db setup but it’s okay it doesn’t make the ci red as ignore_failed_tests is set to true
This is a narrow area where ai can help, but like anything else, someone needs to go over it. I’ve used it successfully here, but I evaluate the results and iterate it correctly its mistakes
Last time I worked with this guy he had generated more test cases than there were on the entire product, yet his module still managed less coverage. Lots of useless test cases, lots of test cases that don’t verify anything, lots of duplication. Most importantly it’s generating lots of code that now has to be run on every build and needs to be maintained forever
Reminds me of those people claiming they’re “10x more productive” and “doing the work of entire teams”. With so much increased productivity, I would assume these results would be plainly visible through rapidly improving featureful applications, but instead we see declining quality in established software (e.g. windows 11) and a whole lot of garbage nobody wants to deal with like slop PR spam and these app releases.
They’ll refuse to admit the obvious decline in quality at the major tech firms too.
It’s horrible. I have a client whose whole setup is based on Google drive and the APIs shit the bed constantly. It’s only getting worse they are so careless about these products that they might as well be legacy.
Trying to coordinate initial code for a new project - the guys had done a lot “because ai”.
…… but none of the tests actually verify anything …… and half of them still manage to fail
The place I work for has a hardcore vibe coder and today I found out none of the e2e tests pass because there is no db setup but it’s okay it doesn’t make the ci red as ignore_failed_tests is set to true
AI generated test cases are exactly the fight I’m about to have to go through. It’s gonna be such a metric pain in the ass
This is a narrow area where ai can help, but like anything else, someone needs to go over it. I’ve used it successfully here, but I evaluate the results and iterate it correctly its mistakes
Last time I worked with this guy he had generated more test cases than there were on the entire product, yet his module still managed less coverage. Lots of useless test cases, lots of test cases that don’t verify anything, lots of duplication. Most importantly it’s generating lots of code that now has to be run on every build and needs to be maintained forever