Obviously fake. Still funny though.
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Are you saying the comment is fake, or the sentiment? This was actually posted to reddit: https://archive.is/U9ntj
Fake in that it's almost assuredly written and posted by someone who is actively anti-vibe coding and this is a troll on the true believers.
Correct.
I love the one guy on that thread who is defending vibe coding, and is "about to launch his first application," and anyone who tells him how dumb he is is only doing so because they feel threatened.
Nah I'm on that guy's side. His experience lines up with my own, namely that vibe coding is not useful for people who don't know how to program, but it can be useful for people who do know how to program, and simply aren't familiar with the specific syntax used in a language they're not an expert in.
In that case, the queries to the AI model aren't, "write me a program that can do X", it's more like "write me a function in this language that can take A, B, and C as inputs, do operation Y with them, and return Z", or "what's the best way to find all of the unique elements in an array and sort it alphabetically in this language". Then the programmer can take those pieces and build up a proper application with them. The AI isn't actually writing the program for you, it's more like a customized Stack Overflow generator, without having to wade through a decade of people arguing back and forth in the comments about inane bullshit.
Does it save a ton of time? No, but it's still helpful, and can get you up and running in a new language much faster than the alternative.
You should(n't) watch Quin69. He's currently "vibe-coding" a game with Claude. Already spent $3000 in tokens, and the game was in such a shit state, that a viewer had to intervene and push an update that dragged it to a "playable" state.
The game is at a level of a "my first godot game", that someone who's learning could've made over a weekend.
It's strange, but I've seen lots of comments that are not aware this is fake. The ai hater crowd is using it as their proof, the other side saying he is using it wrong.
That's depressing. This is so obviously fake because of how entertaining it is written and how the conclusion gets shoved in your face. No subtlety.
I don’t really care about vibe coders but as a dev with just under 2 decades in the field:
- Your vibe coding shit will not go to prod until humans fully review it
- You better review it yourself first before offloading that massive mental drain to someone else (which means you still need to have some semblance of programming skills). Don’t open a PR with 250 files in it and then tell someone else to validate it.
- Use more context. Don’t give it vague ass prompts.
- Don’t use auto-accept. That’s just lazy asshole shit.
I can’t stress this enough: if you give me a PR with tons of new files and expect me to review it when you didn’t even review it yourself, I will 100% reject it and make you do it. If it’s all dumped into a single commit, I will whip your computer into the nearest body of water and tell you to go fish it out.
I don’t care what AI tool wrote your code. You’re still responsible for it and I will blame you.
When I see a sloppy PR I remind people “AI didn’t write that. You wrote it. Your name is on the git blame.”
I like this mentality. I might start telling people the same thing
Love it, I have a vibe coding colleague I will use this with.
It is not useless. You should absolutely continue to vibes code. Don't let a professional get involved at the ground floor. Don't inhouse a professional staff.
Please continue paying me $200/hr for months on end debugging your Baby's First Web App tier coding project long after anyone else can salvage it.
And don't forget to tell your investors how smart you are by Vibes Coding! That's the most important part. Secure! That! Series! B! Go public! Get yourself a billion dollar valuation on these projects!
Keep me in the good wine and the nice car! I love vibes coding.
Why does this image look like an AI-generated screenshot? The letter spacing and weights are all wrong.
It's a real post on Reddit. I don't know what combination of screenshotting/uploading tools leads to this kind of mangling, but I've seen it in screenshots from Android, too. The artifacts seem to run down in straight vertical lines, so maybe slight scaling with a nearest-neighbor algorithm (in 2025?!?) plus a couple levels of JPEG compression? It looks really weird.
I'm curious. If anyone knows, please enlighten me!
So there are multiple people in this thread who state their job is to unfuck what the LLMs are doing. I have a family member who graduated in CS a year ago and is having a hell of a time finding work, how would he go about getting one of these "clean up after the model" jobs?
Has he tried being a senior developer? He should really try being a senior developer.
He needs at least a decade of industry experience. That helps me find jobs.
It makes me so mad that there are CS grads who can't find work at the same time as companies are exploiting the H1B process saying "there aren't enough applicants". When are these companies going to be held accountable?
Never, they donate to get the politicians reelected.
The difficult part is going to be that new engineers are not generally who people think about to unfuck code. Even before the LLMs junior engineers are generally the people that fuck things up.
It’s through fucking lots of stuff up and unfucking that stuff up and learning how not to fuck things up in the first place that you go from being a junior engineer to a more senior engineer. Until you land in a lofty position like staff engineer and your job is mostly to listen to how people want to fuck everything up and go “maybe let’s try this other way that won’t fuck everything up instead”
Tell your family member to network, that’s the best way to get a job. There are discord servers for every programming language and most projects. Contribute to open source projects and get to know the people.
Build things, write code, open source it on GitHub.
Drill on leet code questions, they aren’t super useful, but in any interview at least part of the assessment is going to be how well they can do on those.
There are still plenty of places hiring. AI has just made it so that most senior engineers have access to a junior engineer level programmer that they can give tasks to at all time, the AI. So anything you can do to stand out is an advantage.
No idea, but I am not sure your family member is qualified. I would estimate that a coding LLM can code as well as a fresh CS grad. The big advantage that fresh grads have is that after you give them a piece of advice once or twice, they stop making that same mistake.
As a software developer, I've found some free LLMs to provide productivity boosts. It is a fairly hairpulling experience to not try too hard to get a bad LLM to correct itself, and learning to switch quickly from bad LLMs is a key skill in using them. A good model is still one that you can fix their broken code, and ask them to understand why what you provided them fixes it. They need a long context window to not repeat their mistakes. Qwen 3 is very good at this. Open source also means a future of customizing to domain, ie. language specific, optimizations, and privacy trust/unlimited use with enough local RAM, with some confidence that AI is working for you rather than data collecting for others. Claude Sonnet 4 is stronger, but limited free access.
The permanent side of high market cap US AI industry is that it will always be a vector for NSA/fascism empire supremacy, and Skynet goal, in addition to potentially stealing your input/output streams. The future for users who need to opt out of these threats, is local inference, and open source that can be customized to domains important to users/organizations. Open models are already at close parity, IMO from my investigations, and, relatively low hanging fruit, customization a certain path to exceeding parity for most applications.
No LLM can be trusted to allow you do to something you have no expertise in. This state will remain an optimistic future for longer than you hope.
Swear to god the vibe coding movement is going to create so many new jobs in the ilk of "I hired some dude to write my startup thing and now it's gone all to shit, can you make it actually good and scalable and responsive please?"
"What do you do? "Oh, I work in AI Disaster Response"
AI used extremely sparingly is sometimes helpful to an experienced coder. "Multivac, generate a set of unit tests for this function." Okay, some of these are dumb, but it's easier getting started on this mess than just looking at a blank buffer. Helps get the juices flowing a bit. But man, you try to actually do anything with it, and suddenly you're lost chasing a will-o'-wisp.
imo paying devs to review vibe coded bile would not work either. At best, the dev themselves should do the vibe coding.
Someone who has no clue whatsoever in terms of programming cannot give it the right prompt.
I'm sure it's fun to see a series of text prompts turn into an app, but if you don't understand the code and can't fix it when it doesn't work without starting over, you're going to have a bad time. Sure, it takes time and effort to learn to program, but it pays off in the end.
Vibe coding is useful for super basic bash scripting and that's about it. Even that it will mess up but usually in a suler easily fixed way
I don't think it has much to do with how "complex or not" it is, but rather how common it is.
It can completely fail on very simple things that are just a bit obscure, so it has too little training data.
And it can do very complex things if there's enough training data on those things.
I've also found it useful for simple Python scripts when I need to analyze data. I don't use pandas/scipy/numpy/matplotlib enough to remember the syntax and library functions. With vibe coding it, I can have a script in minutes for reading a csv with weird timestamps, scale some of the channels, filter out noise or detrending, perform a Fourier transform, and do a curve fit towards a model.
But then obviously I know every intermediate step I want to do.
Clearly satire
It's kind of hard for me to tell on this one. Maybe the boomer lead is seeping into my brain.
Like trying to write a book just using auto complete
I'm not a programmer by any stretch but what LLM's have been great for is getting my homelab set up. I've even done some custom UI stuff for work that talks to open source backend things we run. I think I've actually learned a fair bit from the experience and if I had to start over I'd be able to do way way more on my own than I was able to when I first started. It's not perfect and as others have mentioned I have broken things and had to start projects completely from scratch but the second time through I knew where pitfalls were and I'm getting better at knowing what to ask for and telling it what to avoid.
I'm not a programmer but I'm not trying to ship anything either. In general I'm a pretty anti-AI guy but for the non-initiated that want to get started with a homelab I'd say its damn near instrumental in a quick turnaround and a fairly decent educational tool.
Bruh yer not doing it right. Are you stupid, bruh? You gotta work on yer promps, bruh. You gotta watch some tiktoks on it, bruh. Bruh, go watch @demisets4, bruh. Learn to prompt, bruh. Your not good at it, bruh. Bruh, you should try something else if you can't figure it out that's a you problem, bruh.
God bless vibe coders, because of them I'm buying a new PC build this week AND I've decided to get a PS5.
Thank you Vibe Coders, your laziness and and sheer idiocy are padding my wallet nicely.
The AI Fix podcast had a piece about how someone let an AI agent do the coding for them but had a disaster because he gave it access to the production database.
Very funny.
https://theaifix.show/61-replit-panics-deletes-1m-project-ai-gets-gold-at-math-olympiad/
A buddy of mine is into vibe coding, but he actually does know how to code as well. He will reiterate through the code with the llm until he thinks it will work. I can believe it saves time, but you still have to know what you are doing.