Have you noticed how every LinkedIn bro is talking about their vibe coding workflows, but no one is showing what they’ve made with vibe coding?
Sometimes a post on LinkedIn will have a link to a "finished" product. But 99% of the time there is a comment that says, "Hey, your API endpoints aren't protected."
99% of the time it’s just a basic todo list
In a recent post on HackerNews, someone said that there is no burden of proof that it works. The purest form of "trust me bro."
I prefer the other posts of vibe coders complaining about data loss because their llm didn't tell them how to prevent xss or SQL injection.
Or because their agent wiped all the data on production
Yea, that was a good story.
Like all the other content grifters and their tutorials or get rich quick scams.
stealth startup bro, my crud app is gonna change the world
I'd be delighted to do some QA consulting for you! I'll throw in some pentesting as well. Hell, I'd give you a few hours' free trial so ~~I get to piss you off legally~~ you can get an outside confirmation fueled by a shared passion to see you reach the acclaim you deserve.
Just a little more compute bro, we just need a little more context window. trust me bro Claude 5 will be AGI
They said it can write code. They never said it can fix code or debug issues.
That's like saying you can drive, bit can't navigate or park.
I have met people that dont know how to navigate with Google maps and its painful to be a passenger with them.
Driving with a nav system is a part of the driver license test here.
Where is "here"? Because it doesnt seen to be a thing in the US
Netherlands, Belgium and UK.
That guy picked me up as a rideshare driver once. He was late.
Ironically cars can park and navigate, but not drive.
I think the largest failure is bad architecture, or that is the inability to understand architecture at all. After your vibe coded project gets larger than a prototype and you "zoom out" to try and grasp what is going on, is when you see how bad it is.
Given the potential damage from it, it's more like saying it can drive while being confident the brake pedal is always the left-most one, because it'd seen it on reddit.
I had to give this a really good think because I can't remember the last time I've seen a car with a manual transmission so I was fully like
What do you mean? The brake is the left most pedal?
I drove a truck with four pedals in high school. Leftmost was the parking brake.
Oh yeah... actually I forgot about that configuration too. With or without a clutch
Did you vibegraph those lines?
Looks ethically sourced artisanal lines to me
they're "rustic".
no, not generated with Rust.
I would prefer to title it "Gravity's Rainbow Of Vibe Coding" as this is hardly a cycle, more like a denial committed with force that will eventually give out and cause regression into a shattering of identity.
And to think all those times I cursed CORS under my breath. Doing God's work.
Slightly off topic, buddy of mine decided to switch to Debian and A.i his way through everything, waiting for the day his system fails to boot because of some obscure command it tells him to run.
Idk. I think using ai to learn Linux as you switch to it is fair ground. In the end they’re free from Microsoft. It’s a win. Just make sure they have data backups.
As the great Linus Torvald said:
It's why I strongly want this to be that "just a tool".
The problem I’ve seen is the lack of knowledge retention when AI feeds you stuff, buddy wouldn’t even bother to read nor memorize what it’s telling him and just copy-paste commands thinking it’ll fix whatever obscure issue he is encountering.
I’ve been using Debian for the last ~3ish years now relying on documentation from others so I’ve seen how fragile it can get.
In terms of usage of AI, I'm thinking "doing something a million people already know how to do" is probably on more secure footing than trying to go out and pioneer something new. When you're in the realm of copying and maybe remixing things for which there are lots of examples and lots of documentation (presumably in the training data), I'd bet large language models stay within a normal framework.
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