Comment by marginalia_nu
4 days ago
I don't actually mind AI-aided development, a tool is a tool and should be used if you find it useful, but I think the vibe coded show HN projects are overall pretty boring. They generally don't have a lot of work put into them, and as a result, the author (pilot?) hasn't generally thought too much about the problem space, and so there isn't really much of a discussion to be had.
The cool part about pre-AI show HN is you got to talk to someone who had thought about a problem for way longer than you had. It was a real opportunity to learn something new, to get an entirely different perspective.
I feel like this is what AI has done to the programming discussion. It draws in boring people with boring projects who don't have anything interesting to say about programming.
One of the great benefits of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge.
One of the great drawbacks of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge.
It used to be that ShowHN was a filter: in order to show stuff, you had to have done work. And if you did the work, you probably thought about the problem, at the very least the problem was real enough to make solving it worthwhile.
Now there's no such filter function, so projects are built whether or not they're good ideas, by people who don't know very much
People who got "enabled" by AI to produce stuff, just need to learn to keep their "target audience of one"-projects to themselves. Right now it feels like those fresh parents who show every person they meet the latest photos / videos of their baby, thinking everybody will find them super cute and interesting.
Yeah, I think it's sort of an etiquette thing we haven't arrived at yet.
It's a bit parallel to that thing we had in 2023 where dinguses went into every thread and proudly announced what ChatGPT had to say about the subject. Consensus eventually become that this was annoying and unhelpful.
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>People who got "enabled" by AI to produce stuff, just need to learn to keep their "target audience of one"-projects to themselves.
This is what I do. I have tons of cool (to me) shit I have built with LLM assistance. I only wheel my dumb stuff out if its specifically relevant to someone.
But I am also not doing it as a resume hobby, just as a hobby. A lot of people are trying to jump from hobby to career. The recognition is the point for some.
Some folks definitely give off a "How do you do, fellow coders?" vibe
I get that, and mostly agree but some people will really have the cutest kitten the most beautiful sunset photo. Hopefully we figure out how to discern as fast as we can churn.
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Like when Instagram / digital photography, that is not what you will get but you will see a lot of revealing body parts.
More like the fresh parents who start schooling everyone else on how to parent…
The other element here is that the vibecoder hasn't done the interesting thing, they've pulled other people's interesting things.
Let's see, how to say this less inflamatory..
(just did this) I sit here in a hotel and I wondered if I could do some fancy video processing on the video feed from my laptop to turn it into a wildlife cam to capture the birds who keep flying by.
I ask Codex to whip something up. I iterate a few times, I ask why processing is slow, it suggests a DNN. I tell it to go ahead and add GPU support while its at it.
In a short period of time, I have an app that is processing video, doing all of the detection, applying the correct models, and works.
It's impressive _to me_ but it's not lost on me that all of the hard parts were done by someone else. Someone wrote the video library, someone wrote the easy python video parsers, someone trained and supplied the neural networks, someone did the hard work of writing a CUDA/GPU support library that 'just works'.
I get to slap this all together.
In some ways, that's the essence of software engineering. Building on the infinite layers of abstractions built by others.
In other ways, it doesn't feel earned. It feels hollow in some way and demoing or sharing that code feels equally hollow. "Look at this thing that I had AI copy-paste together!"
To me, part of what makes it feel hollow is that if we were to ask you about any of those layers, and why they were chosen or how they worked, you probably would stumble through an answer.
And for something that is, as you said, impressive to you, that's fine! But the spirit of Show HN is that there was some friction involved, some learning process that you went through, that resulted in the GitHub link at the top.
Idk.
I saw this come out because my boss linked it as a faster chart lib. It is ai slop but people loved it. [https://news.ycombinator.com/item?id=46706528]
I knew i could do better so i made a version that is about 15kb and solves a fundamental issue with web gl context limits while being significantly faster.
AI helped do alot of code esp around the compute shaders. However, i had the idea of how to solve the context limits. I also pushed past several perf bottlenecks that were from my fundamental lack of webgpu knowledge and in the process deepened my understanding of it. Pushing the bundle size down also stretched my understanding of js build ecosystems and why web workers still are not more common (special bundler setting for workers breaks often)
Btw my version is on npm/github as chartai. You tell me if that is ai slop. I dont think it is but i could be wrong
I have yet to see any of these that wouldn’t have been far better off self-hosting an existing open source app. This habit of having an LLM either clone (or even worse, cobble together a vague facsimile) of existing software and claiming it as your own is just sort of sad.
I actually came to this realization recently. I'm part of a modding community for a game, and we are seeing an influx of vibe coded mods. The one distinguishing feature of these is that they are entirely parasitic. They only take, they do not contribute.
In the past, new modders would often contribute to existing mods to get their feet wet and quite often they'd turn into maintainers when the original authors burnt out.
But vibe coders never do this. They basically unilaterally just take existing mods' source code, feed this into their LLM of choice and generate a derivative work. They don't contribute back anything, because they don't even try to understand what they are doing.
Their ideas might be novel, but they don't contribute in any way to the common good in terms of capabilities or infrastructure. It's becoming nigh impossible to police this, and I fear the endgame is a sea of AI generated slop which will inevitably implode once the truly innovative stuff dies and and people who actually do the work stop doing so.
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Sometimes 'gatekeeping' is a good thing.
It often is. The concept of "gatekeeping" becoming well known and something people blindly rail against was a huge mistake. Not everything is for everyone, and "gatekeeping" is usually just maintaining standards.
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I think the word you're looking for is curation. Which people who don't pass jury might call gatekeeping.
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To be fair, one probably needs at least one idea in order to build stuff even with AI. A prompt like "write a cool computer program and tell me what it does" seems unlikely to produce something that even the author of that prompt would deem worthy of showing to others.
Agreed, and were gonna see this everywhere that AI can touch. Our filter functions for books, video, music, etc are all now broken. And worst of all that breaking coincides with an avalanche of slop, making detection even harder.
There is this real disconnect between what the visible level of effort implies you've done, and what you actually have to do.
It's going to be interesting to see how our filters get rewired for this visually-impressive-but-otherwise-slop abundance.
My prediction is that reputation will be increasingly important, certain credentials and institutions will have tremendous value and influence. Normal people will have a hard time breaking out of their community, and success will look like acquiring the right credentials to appear in the trusted places.
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I have a sci-fi series I've followed religiously for probably 10 years now. It's called the 'Undying Mercenaries' series. The author is prolific, like he's been putting out a book in this series every 6 months since 2011. I'm sure he has used ghost writers in the past, but the books were always generally a good time.
Last year though I purchased the next book in the series and I am 99% sure it was AI generated. None of the characters behaved consistently, there was a ton of random lewd scenes involving characters from books past. There were paragraphs and paragraphs of purple prose describing the scene but not actually saying anything. It was just so unlike every other book in the series. It was like someone just pasted all the previous books into an LLM and pushed the go button.
I was so shocked and disappointing that I paid good money for some AI slop I've stopped following the author entirely. It was a real eye opener for me. I used to enjoy just taking a chance on a new book because the fact that it made it through publishing at least implied some minimum quality standard, but now I'm really picky about what books I pick up because the quality floor is so much lower than in the past.
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People will build AI 'quality detectors' to sort and filter the slop. The problem is of course it won't work very well and will drown all the human channels that are trying to curate various genres. I'm not optimistic about things not all turning into a grey sludge of similar mediocre material everywhere.
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"One of the great benefits of AI tools, is they allow people to build stuff, even if they have no ideas or knowledge."
Wait, what? That's a great benefit?
Sure, there's many examples (I have a few personal ones as well) where I'm just building small tools and helpers for myself which I just wouldn't have done before because it would take me half a day. Or non-technical people at work that now just build some macros and scripts for Google Sheets that they would've never done before to automate little things.
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I am being slightly sarcastic
For those who want to have the stuff built, yes, it absolutely is.
one of the base44 ads is hilarious about this
https://www.youtube.com/watch?v=kLdaIxDM-_Y
> so projects are built whether or not they're good ideas
Let’s be honest, this was always the case. The difference now is that nobody cares about the implementation, as all side projects are assumed to be vibecoded.
So when execution is becoming easier, it’s the ideas that matter more…
The appearance of execution is much easier, quality execution (producing something anybody wants to use) might be easier, maybe not.
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” The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for the other 90 percent of the development time.”
— Tom Cargill, Bell Labs
Some day I’m going to get a crystal ball for statistics. Getting bored with a project was always a thing— after the first push, I don’t encounter like 80% of my coding side projects until I’m cleaning— but I’ll bet the abandonment rate for side projects has skyrocketed. I think a lot of what we’re seeing are projects that were easy enough to reach MVP before encountering the final 90% of coding time, which AI is a lot less useful for.
> I’ll bet the abandonment rate for side projects has skyrocketed
My experience is the opposite. It’s so much easier to have an LLM grind the last mile annoyances (e.g. installing and debugging compilation bullshit on a specific raspberry pi + unmaintained 3p library versions.)
I can focus on the parts I love, including writing them all by hand, and push the “this isn’t fun, I’d rather do something else” bits to a minion.
> including writing them all by hand, and push the “this isn’t fun, I’d rather do something else” bits to a minion.
That’s not really the part I’m talking about. My gut says that if tests are a blocker for weekend projects, people just don’t bother writing them. I certainly wouldn’t imagine them taking much longer to code than the core functionality.
In my experience, which seems to resonate with a lot of people, AI quickly stands up really useful boilerplate and very convenient purpose-built scaffolding… but is a lot less useful helping you solve actual problems in a way that makes sense to people that have those problems. Especially if you’re using a less-mainstream language or some other component.
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You both have very good points here, but once I get finished with both of the 90% programming times, and everything seems to finally work with no more bugs (and it's true), then for my heavy industry work I look forward to spending 10X as much effort testing compared to coding.
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i dunno. the last 80% keeps being 80% and it just eats through tokens
I see a lot of projects repeated: screen capture tool, LLM wrapper, blog/newsletter, marketing tool for reddit/twitter, manage social media accounts. These things have been around for a while so it is really easy for an LLM to spit them out for someone that does not know how to code.
It's because the common belief that you should build copies of whatever SaaS makes decent money. What they don't mention is that people need to have a very good reason why they decide to go for your bare-bones MVP instead of a well-established solution.
Agreed. I'm over here working on Quake 2 mods and reverse engineering Off world trading company so I can finish an open source server for it using AI.
Thing is I worked manually on both of these a lot before I even touched Claude on them so I basically was able to hit my wishlist items that I don't have time to deal with these days but have the logic figured out already.
Whoa, that caught my eye. Offworld Trading Company is one of my favorite RTSes. What are you looking to do with the open source server?
My favorite part about people promoting (and probably vote stuffing) their closed-source non-free app that clone other apps is when people share the superior free alternatives in the comments.
I think that's a fear I have about AI for programming (and I use them). So let's say we have a generation of people who use AI tools to code and no one really thinks hard about solving problems in niche spaces. Though we can build commercial products quickly and easily, no one really writes code for difficult problem spaces so no one builds up expertise in important subdomains for a generation. Then what will AI be trained on in let's say 20-30 years? Old code? It's own AI developed code for vibe coded projects? How will AI be able to do new things well if it was trained on what people wrote previously and no one writes novel code themselves? It seems to me like AI is pretty dependent on having a corpus of human made code so, for example, I am not sure if it will be able to learn how to write very highly optimized code for some ISA in the future.
> Then what will AI be trained on in let's say 20-30 years? Old code? It's own AI developed code for vibe coded projects?
I’ve seen variation of this question since first few weeks /months after the release of ChatGPT and I havent seen an answer to this from leading figures in the AI coding space, whats the general answer or point of view on this?
The general answer is what they’re already doing: ignoring the facts and riding the wave.
Is it hard to imagine that things will just stay the same for 20-30 years or longer? Here is an example of the B programming language from 1969, over 50 years ago:
You'd think we'd have a much better way of expressing the details of software, 50 years later? But here we are, still using ASCII text, separated by curly braces.
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I suspect a more general and much more clever learning algorithm will emerge by then and will require less training data to get to a competent problem solving state faster even with dirty data. Something able to discriminate between novel information and junk. Until then I think there will be a quality decline after a few more years.
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I don't think that more code makes LLMs better at writing code past a certain point.
>So let's say we have a generation of people who use AI tools to code and no one really thinks hard about solving problems in niche spaces.
I don't think we need to wait a generation either. This probably was a part of their personality already, but a group of people developers on my job seems to have just given up on thinking hard/thinking through difficult problems, its insane to witness.
Exactly. Prose, code, visual arts, etc. AI material drowns out human material. AI tools disincentivize understanding and skill development and novelty ("outside the training distribution"). Intellectual property is no longer protected: what you publish becomes de facto anonymous common property.
Long-term, this is will do enormous damage to society and our species.
The solution is that you declare war and attack the enemy with a stream of slop training data ("poison"). You inject vast quantities of high-quality poison (inexpensive to generate but expensive to detect) into the intakes of the enemy engine.
LLMs are highly susceptible to poisoning attacks. This is their "Achilles' heel". See: https://www.anthropic.com/research/small-samples-poison
We create poisoned git repos on every hosting platform. Every day we feed two gigabytes of poison to web crawlers via dozens of proxy sites. Our goal is a terabyte per day by the end of this year. We fill the corners of social media with poison snippets.
There is strong, widespread support for this hostile posture toward AI. For example, see: https://www.reddit.com/r/hacking/comments/1r55wvg/poison_fou...
Join us. The war has begun.
This will happen regardless. LLMs are already ingesting their own output. At the point where AI output becomes the majority of internet content, interesting things will happen. Presumably the AI companies will put lots of effort into finding good training data, and ironically that will probably be easier for code than anything else, since there are compilers and linters to lean on.
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Originally posted this comment here (https://news.ycombinator.com/item?id=47073581), but relevant to this subthread too.
The lesson that I am taking away from AI companies (and their billionaire investors and founders), is that property theft is perfectly fine. Which is a _goofy_ position to have, if you are a billionaire, or even a millionaire. Like, if property theft is perfectly acceptable, and if they own most of the property (intellectual or otherwise), then there can only be _upside_ for less fortunate people like us.
The implicit motto of this class of hyper-wealthy people is: "it's not yours if you cannot keep it". Well, game on.
(There are 56.5e6 millionaires, and 3e3 billionaires -- making them 0.7% of the global population. They are outnumbered 141.6 to 1. And they seem to reside and physically congregate in a handful of places around the world. They probably wouldn't even notice that their property is being stolen, and even if they did, a simple cycle of theft and recovery would probably drive them into debt).
I was wondering if anyone was doing this after reading about LLMs scraping every single commit on git repos.
Nice. I hope you are generating realistic commits and they truly cannot distinguish poison from food.
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AI will be trained on the code it wrote, our feedback on that code, and the final clean architecture(?) working(?) result after that feedback.
i dont think we'll see that, because the niche spaces are people from other disciplines who do some code but dont consider coding important.
theyve already thought about it before reaching for code as a solution
As someone who posts blogs and projects out of my own enjoyment, no AI for code generation, handed edited blog, I still have no idea how to signal to people that I actually know what I’m talking about. Every step of the process could’ve been done by an LLM, albeit worse, so I don’t have a way of signifying my projects as something different. Considering putting a “No LLMs used in this project” tag at the start but that feels a little tacky.
"This repository contains only [Organic] and [Hand-Made] ingredients."
It seems silly, but I know I'm more likely to review an implementation if can learn more about the author's state of mind by their style.
I had a similar thought way back when. It goes back to what is important to the person reviewing it be it the style, form or just whether it works for their use case. In the case of organic food, I did not even know I was living living a healthy lifestyle until I came to US. But now organic is just another label, played by marketing people just like anything else.
As I may have noted before, humans are the problem.
Communicating that you know what you are talking about and that you're different is a lot of work. I think being visibly "anti-AI" makes you look as much of an NPC as someone who "vibe coded XYZ." It takes care, consistency and most of all showing people something they've never seen before. It also helps to get in the habit of doing in person demos, if you want to win hackathons it really helps to be good at (1) giving demos on stage and (2) have a sense of what it takes to make something that is good to demo.
I have two projects right now on the threshold of "Show HN" that I used AI for but could have completed without AI. I'm never going to say "I did this with AI". For instance there is this HR monitor demo
https://gen5.info/demo/biofeedback/
which needs tuning up for mobile (so I can do an in-person demo to people who work on HRV) but most all being able to run with pre-recorded data so that people who don't have a BTLE HR monitor can see how cool it is.
Another thing I am tuning up for "never saw anything like this" impact is a system of tokens that I give people when I go out as-a-foxographer
https://mastodon.social/@UP8/116086491667959840
I am used to marketing funnels having 5% effectiveness and it blows my mind that at least 75% of the tokens I give out get scanned and that is with the old conventional cards that have the same back side. The number + suit tokens are particularly good as a "self-working demo" because it is easy to talk about them, when somebody flags me down because they noticed my hood I can show them a few cards that are all different and let them choose one or say "Look, you got the 9 of Bees!"
You’re not actually at risk of being labeled as LLM user until someone comes and make that claim about your work. So my advice is to not try to fight a preemptive battle on your tone and adjust when/if that day comes.
Side note: I’d think installing Anubis over your work would go a long way to signaling that but ymmv.
> I still have no idea how to signal to people that I actually know what I’m talking about.
presumably if this is true, it should be obvious by the quality of your product. If it isnt, then maybe you need to need to rethink the value of your artisanal hand written code.
I think that the problem is that LLMs are good at making plausible-looking text and discerning if a random post is good or bad requires effort. And it's really bad when signal-to-noise ratio is low, due to slop being easier to make.
I added the following at the top of the blog post that I wrote yesterday: "All words in this blog post were written by a human being."
I don't particularly care if people question that, but the source repo is on GitHub: they can see all the edits that were made along the way. Most LLMs wouldn't deliberately add a million spelling or grammar mistakes to fake a human being... yet.
As for knowing what I'm talking about. Many of my blog posts are about stuff that I just learned, so I have many disclaimers that the reader should take everything with a grain of salt. :-) That said: I put a ridiculous amount of time in these things to make sure it's correct. Knowing that your stuff will be out there for others to criticize if a great motivator to do your homework.
> a tool is a tool
> author (pilot?) hasn't generally thought too much about the problem space
I’ve stopped saying that “AI is just a tool” to justify/defend its use precisely because of this loss of thought you highlight. I now believe the appropriate analogy is “AI is delegation”.
So talking to the vibe coder that’s used AI is like talking to a high level manager rather than the engineer for human written code
I predict that now that coding has become a commodity, smart young people drawn to technical problem-solving will start choosing other career paths over programming. I just don't know which ones, since AI seems to be commoditizing every form of engineering work.
When I was growing up (millennial) it seemed to me that the default for smart young people drawn to technical problem solving was something like aerospace, software or hardware was more or less a fun hobby, like it was for Steve Wozniak. Nobody cared whether or which of these were a commodity, which is what happens when you actually enjoy something.
These days I do see a lot of people choosing software for the money. Notably, many of them are bootcamp graduates and arguably made a pivot later in life, as opposed to other careers (such as medicine) which get chosen early. Nothing wrong with that (for many it has a good ROI), but I don’t think this changed anything about people with technical hobbies.
When you’re young, you tend not to choose the path the rest of your life will take based on income. What your parents want for you is a different matter…
I don't mind AI, but one of the issues that I have noticed when using it, is that I can't ask you questions about how you built the project and how you overcame difficulties and much more importantly what you've learned from it so that those that follow can stand on the shoulders of giants.
I feel that actual 'understanding' is still incredibly important and it'll probably always be important. I'm talking about people actually understanding what's happening and why it's happening.
The main difference I've noticed when I built stuff with AI and without it, is that without it I understood and knew the code much more intimately, as the program was running, I could approximate with a fairly good degree of precision where in the code the program was at a given time - human based debugging.
When I'm using AI to build stuff all of this is gone. It's very little different from just opening a random Git repo, basically foreign code to me.
There are tasks that just need to be done, and then there are tasks one outta think about.
The filter used to be effort. You had to care enough to spend weeks on something, which meant you probably understood the problem deeply. Now that filter is gone and we get a flood of "I prompted this in 20 minutes" posts where the author can't answer a single follow-up about their own code. The interesting Show HNs still exist, they're just buried under noise.
> The filter used to be effort. You had to care enough to spend weeks on something, which meant you probably understood the problem deeply. Now that filter is gone and we get a flood of "I prompted this in 20 minutes" posts where the author can't answer a single follow-up about their own code. The interesting Show HNs still exist, they're just buried under noise.
More's the pity. I'm prepping for a ShowHN with a completely hand-coded project I started in December. It will be finished around end-march. I vibe-coded all the docs, because I spent all the time on the code.
I have no idea if the ShowHN is going to be at all useful, but I pivoted multiple times on various implementation things. Had it been coded by an AI, I don't think there would be any pivot.
The value is precisely from the pivots. An AI would have plodded on ahead anyway with a broken model for the problem-space.
One thing about vibe coding is that unless you are an expert in what you have vibe coded, you have no idea if it actually works properly, and it probably doesn't.
Worse yet, if you're not an expert(with autodidacts potentially qualifying), your ideas won't be original anyway.
You'll be inventing a lot of novel cicular apparatus with a pivot and circumferencrial rubber absorbers for transportation and it'll take people serious efforts to convince you it's just a wheel.
In most domains, working on a project for a few years will make you an expert.
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i think that there are a few distinct usecases for ShowHN that lead to conflicting visions:
* some people want to show off a fun project/toy/product that they built because it's a business they're trying to start and they want to get marketing
* some people want to show off a fun project/toy/product that they built because it's involves some cool tech under the hood and they want to talk shop
* some people want to show off a fun project/toy/product that they built because it's a fun thing and they just want some people to have fun
I feel like my experience with Show HN has been pretty confusing.
Two years ago, I started work on https://phrasing.app. Extreme MVP, and a few people using the buggiest software I’ve ever seen. The Show HN took off and I collected thousands of emails.
I then spent two years grinding. I put in over 10k hours into the project. I ended up turning that crappy mvp into a product I’m genuinely proud of. I know have actual users I don’t know who pay me money and LOVE the product. I myself am using it to learn several languages, most of which I was unable to learn before due to a lack of resources.
I then posted multiple times in Show HN. Crickets.
Yet in the past few months, I’ve seen multiple vibe-coded fraudulent Show HN posts in the language learning space take off. They were eventually flagged but still, it’s just weird to see low effort projects get such massive interest.
I’m sure it’s a skill issue, but my experience is kind of painting show hn in the opposite light you do.
Hope this didn’t come across jaded, it’s just been on my mind (and confusing me) for a while now and felt quite relevant to share here.
we need a Vibe HN
Prompter News
Hacker Slop
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This, but unironically. Every submission should have an "AI?" checkbox, to indicate if the content submitted is about AI or made by AI, because I'm just absolutely fed up with 2/3 of HN front page being slop or meta-slop.
I'm not an anti-AI luddite, but for gods sake talk about (ie. submit) something else!
Yes please! I don't know what's worse: reading an AI-generated post or several comments that go like "I've spotted an em-dash, it must be AI generated".
That may be something.
Having too may subs could get out of hand, but sometimes you end up with so much paperwork generated so fast that it needs its own dedicated whole drawer in your filing cabinet ;)
Sorry about that, didn't mean to hurt anybody's feelings :(
It's still early and easy to underestimate the number of visitors who would absolutely love to have the main page more covered in absolute pure vibe than it is recently.
I would like to hear opinions as to why the non-human touch is preferred, that could add something that not many are putting into words.
Hopefully it's not a case of the lights being on but nobody's home :(
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listen_to_what_the_man_said.stm
http://news.ycombinator.com
I have a project that I'm hoping to launch on show HN in the next few days which was built entirely with the help of AI agents.
It's taken me about month; currently at ~500 commits. I've been obsessed with this problem for ~6 weeks and have made an enormous amount of progress, but admittedly I'm not an expert in the domain.
Being intentionally vague, because I don't want to tip my hand until it's ready. The problem is related to an existing open source tool in a particular scientific niche which flatly does not work on an important modern platform. My project, an open source repo, brings this important legacy tool to this modern platform and also offers a highly engaging visual demo that is of general interest, even to a layperson not interested in programming or this particular scientific niche.
I genuinely believe I have something valuable to offer to this niche scientific community, but also as a general interest and curiosity to HN for the programming aspects (I put a lot of thought into the architecture) as well as the visual aspects (I put a lot of thought into the design and aesthetics).
Do you have any advice on how to present this work in a compelling way to people who understandably feels as burned out on AI slop as you do?
Just my opinion, but if you present it in a way that first explains the problematic, then explain what other similar tool fail to solve, and have a genuine understanding of the tool in the sense that you can understand and answer questions to generate a discussion, it doesn't matter much how it was coded. The "slop" part of the AI really comes down to having a vague idea for a tools, barely doing any research if the problem has been solved and generating a tool that nobody asked for and that you barely know, there is not much room for an interesting discussion.
> I think the vibe coded show HN projects are overall pretty boring.
Agreed. r/ProgrammingLanguages had to deal with this recently in the same way HN has to; people were submitting these obviously vibecoded languages there that barely did anything, just a deluge of "make me a language that does X", where it doesn't actually do X or embody any of the properties that were prompted.
One thing that was pointed out was "More often than not the author also doesn't engage with the community at all, instead they just share their project across a wide range of subreddits." I think HN is another destination for those kinds of AI slop projects -- I'm sure you could find every banned language posted on that forum posted here.
Their solution was to write a new rule and just ban them outright. Things have been going much better since.
https://www.reddit.com/r/ProgrammingLanguages/comments/1pf9j...
r/macapps is also putting new requirements in place [1], requiring among other things a statement of what your app solves, how it's better than existing solutions and even a changelog/roadmap.
I would bet just the first two text fields would be enough to catch out vibecoders.
[1] https://www.reddit.com/r/macapps/comments/1r6d06r/new_post_r...
I shared a well-thought vibecoded app on ShowHN last month. It took a few hours to get POC and two weeks to fully develop a product to meet my requirements. Nobody cared.
You’re part of the problem.
The problem is we're all stuck in a cut throat game of musical chairs in an eroding industry, with almost all organic platforms locked down and billion dollar orgs trying their damnedest to funnel you into pay2play.
How do you solve it?
Sqfty?
I mean it's a real problem, but it's also a solved problem, and also not a problem that comes up a lot unless you're doing the sort of engineering where you're using a CAD tool already.
I don't doubt it's useful, and seems pretty well crafted what little I tried it, but it doesn't really invite much discussion.
Also, just a URL with no explanation and no supporting text in the post.
If the poster can't be bothered to talk about why they made it... actually it's not even that. Just say hello, at least a hello. Show your audience you're a person. Humans like to talk to other humans.
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I had a light bulb come on reading your comment. Yes! When I read Show HN posts that are clearly missing key information, it makes me care less because the author didn’t care to learn the space they’d like to play in.
> the author (pilot?)
Viber
> the vibe coded show HN projects are overall pretty boring
concur, perhaps a dedicated or alternative, itch.io like area named "Slop HN:..."
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