My dad was a software engineer when he was younger, but his skills atrophied over the decades as he worked his way into upper management and spent all of his non work time caring for the family. For the past 8 years or he's had an app idea for something he wants himself on his phone that he's been dying to make, but just didn't have the means to do it. He tried no code/lo code options, but they were just to limited in their API coverage. Finally though in the past 3 months he's been able to fulfill his own personal dream to make that app with an AI driven platform. He has been thrilled and I think he's done a great job developing it. It's an incredibly niche audience and he knows that, but just thought I'd share that for some people out there it's legitimately a dream come true to be able to make and publish an app, while still being clear eyed that it's not going to make you any money.
For those that are curious, it is an alarm app with natures sounds instead of dings and beeps or jingles. As he puts it "none of the other existing apps have good enough sounds or interfaces".
This is one of the cases where I do think AI development is handy. There are loads of simple apps (like in your example, an alarm with custom sounds) that someone could crank out if they take a couple weeks to learn some frameworks and a language. Or they could get some ad-filled slop app from the App Store that'll harvest their personal data and send it off to some foreign intelligence agency to spy on them and share it with spammers. Neither option is appealing to most people.
But AI can churn it out in a few minutes, and a human can go in to tweak things manually to their needs.
I recently did it with a little audio editing app. I needed something to edit sound effects for a game in a specific way. Learning about audio programming and whatever would've taken me a lot of time, and I put it off forever since even figuring out where to begin was a hassle. I asked an AI to make a basic app that did what I wanted and I put on a few finishing touches. Took about 10 minutes and works fine for my purposes.
My friend just made an app. The idea sounds really dumb and he keeps asking me to install it. He’s never written a line of code in his life. I’d imagine a lot of the apps are stuff like this. It’s an app that tells you who died today, and who you’ve managed to outlive. Seems really glum and a downer.
My grandparents would have loved this. They spent most of the mornings scanning through obituaries for old friends who had died. Might be one of those bittersweet hobbies you get into when you reach your 80s.
Eventually the cost to develop app and games could drop so low that we will need to shift our mental model in how we discover and use apps.
For example, TikTok revolutionized short form videos by introduced a UI where users can explore a lot more videos more quickly, and the cost of showing a bad video is significantly lower (then clicking on a long YouTube video). This eventually led to algorithmically led discovery and content that was created for that format.
You could easily imagine a TikTok for games, where you can instantly scroll between and start playing games with no installation or frictions. Over time games themselves would be designed for that format, hooking you up from the first second (like a TikTok video).
This would obviously change apps and games fundumenltally, just like TikTok did for videos.
This just explained the "who's on first" my wife and I went through trying to find the right wood block game. They're all nearly identical, even copying/cloning exact UIs, labels, etc.
Not one actual app is mentioned. As with most articles that are about this, few if any public facing examples are described. Where are the lists of actual production software that was vibe coded and also successful?
The article is relatively clear that it is an assumption that the apps are vibe-coded based on the jump being so large. I guess they could’ve tried to cross-correlate that with sales of books or courses on app development that vibe-coders wouldn’t need.
There are a few examples of the types of apps people are making in the comments on this page and it sounds like a lot of the time it’s custom apps for a personal itch that might appeal to very few other people.
Similar to how I have Python scripts on my computer that I won’t publish. They’re not production quality, but I know how to deal with their quirks. I suspect a lot of the apps mentioned in the comments are similar and maybe that’s fine.
I imagine some of the rise is people using AI to clone existing apps too.
102 year old chiming in: I was a software engineer in the 1970s and lost the will to program. After watching tech podcasts like the one from the author of the article, I vibe coded a calorie tracking app for my dog, which is in all app stores.
Life is fun again. I feel energized and productive with my intellectual wheelchair.
30% is a surprising metric because just anecdotally my team's PR submissions have jumped by about the same ratio in the same time frame. (No, I'm not measuring it - I just own a downstream piece and have casually observed its higher rate of use).
What the comments here fail to understand is that even if 80% of these is vibecoded slop, 20% of them isn't (classic Pareto), and that's still a ~17% increase of non-slop. Quite a lot.
An LLM being used to generate the code doesn't say anything inherent about the quality of the app. It just changes the distribution. It's like how knowing a person is a man makes it a lot more like they're into watching team sports, but it doesn't mean they actually are. Or that a woman isn't. As of April 2026, an app's code being primarily LLM written it's a lot more likely to be slop, but there's plenty that aren't slop. Similarly, there were millions of slop apps out there before anyone out there was using LLMs to code.
More and more people will start agreeing with this take and admitting it over time as the Overton Window shifts and it becomes more acceptable. But this has been true for 2 years now. The distribution has shifted, ironically towards a higher % of slop, because 2 years ago harnesses and other tooling weren't good enough yet to allow people with zero coding experience to build an app. It still took more effort, higher barrier. But people were already generating useful code with LLMs, and yes, even creating useful, non-slop, thought out apps whose code was majority LLM-generated.
"Show them! Where are they!?". Look at these comment sections, then take a guess why we aren't linking them everywhere and shouting it from the rooftops. Because it hasn't reached mainstream acceptance, so it's bad for business. People immediately associate it with slop, and they're not necessarily wrong in doing so because as said, 80% is slop. So for us 20%, who didn't vibecode something in a day but worked on it for months to produce something actually valuable, all it does is invite negativity with business impact. In offline, informal settings you'll find way more people who are willing to say it and indeed show.
I wish this is the point at which we could create a true alternative to the app stores. This is the moment we could escape the walled gardens. Yes a lot of those who are happy in their ecosystems will stay, but for the ones making the apps, I think there are better alternatives, especially now with PWAs. I think now more than ever is an opportunity to invest in a PWA based mini app platform.
Interesting, I made me think when was the last time I wanted to look at the App Store and it was… never? I mean I have to to install something, but I never go there just to window shop. (My kids do, but that’s because the games have video previews.)
Sure a most of these apps are "slop" and will never achieve any kind of success. However a small percentage will eventually flourish into businesses which will eventually starts hiring developers and other roles.
Increased enablement and higher productivity leads to greater output which will eventually lead to greater need for (some types) of tech workers in the end.
The world has been given hay making machines. Now people of all walks of life can make their own hay at a greater rate and with much less effort. They can also proudly display them along with other examples in centralized locations that conceptually take the form of haystacks. Also, I should add, the machines tend to make the hay with the color of a needle and with a needle shape.
More apps means mean more employees whose job it is to screen apps, and dealing with customer issues. This defies the popular narrative that AI will result in a net loss of jobs.
Finally! The tsunami of incredibly useful, "AI" coded apps we've been waiting for. This is really good news.
Anybody categorized these apps? I mean, there were literally hundreds of flashlight apps in the Google android store at one point. Are "AI" apps doing variants of one thing, or are they all over the map?
Scale strikes again. As with most things around AI the problem is the scale. The scale of impact is immense, the app store is flooded with slop, and we're not ready to handle it.
A take from Forbes a few weeks ago,
The App Store Is Flooded with AI Slop, Legitimate Developers Are Paying for It
I've been watching the /r/cli and /r/tui subreddits for some time. The amount of vibe coded apps posted there just continues to climb. Some people in the comments for these apps can be quite rude when they read the description and find out its vibe coded. Nevermind how vile some can be when it's not in the announcement but the author lets them know down the line in the comments.
Ha! I got raked over the coals when I asked for some help in a vintage Apple subreddit. I described the problem, what I tried to do to solve it and at the very end I also mentioned that I asked AI and that it gave me an absurd answer. So many people just read the one line and gave me an earful.
/r/chrome_extensions feels like it's getting close to being 100% LLM generated, extension code, submission descriptions which read like you accidentally went to LinkedIn, and generic LLM replies
I don't love seeing slop everywhere and I don't feel good about models being trained on people's hard work, but... I also have a hard time believing my work was ever much different. I've always regurgitated and synthesized existing solutions. I took them from open source examples. I read people's blogs. I'm basically a really slow LLM most of the time. Is that a form of deception too? I really wonder how much of a difference it is sometimes. Maybe LLMs are just a shortcut of sorts to get where we've previously gotten using very similar means. Just absorbing and recycling ideas, learning by reinforcement, so on.
No? The problem with "plagiarism" is the taking credit for work other _people_ did. An LLM is not a person, therefor You are not plagiarizing, its a simply tool to use. Do you think its wrong to take credit for moving dirt with a shovel instead of your hands?
That's a valid take. I think there's substance to that claim. Maybe what I've been struggling with lately is how blurry the lines seem to be. When am I building on top of something, and when am I claiming credit I don't deserve?
Along these lines, an interesting category of work is when I have an LLM do something I could do myself. I totally understand the code, I instruct it all the way, I have it redo things, revise, rejig, etc... But I don't actually write any code. How responsible am I for any of that?
At work there are a ton of small scripts I use for piping data around ad-hoc, and this is often how I do it. Claude can make dumb pipes really well and remarkably quickly with reasonably clear specs given to it. I compose all kinds of specs, reports, plans, etc. using this workflow. And I find myself wondering... How much of this is me? How much credit do I deserve? The code is gone, the outputs remain, and I can't quite tell how responsible I am for the end product. It's a strange experience.
Do you have to know Assembler to be able to write code in Java? With the point being that you rarely know the underlying mechanics - and the same if true for vibe coding.
Nah, but you have to actually put the work in to get the credit. Lazily vibe coding slop and then passing it off as your work is like claiming you cooked a microwave meal.
In my experience no, but I don't think that's a problem.
It's fascinating to see so many ideas and so much enthusiasm. I sometimes wonder if the fervor will die down as people realize it's still really hard to make truly fantastic software, but it's hard to say. There's a ton of inertia behind the vibe coding rush.
I also wonder if vibe coding is actually somewhat incompatible with the states of mind and contemplation that's often required to figure out how to solve problems properly. It isn't clear if you can brute force great solutions without putting in the initial domain distillation and idea incubation and so on. I'm sure there are exceptions but I have a feeling it'll never be trivial to come up with truly good and novel ideas for software, and vibing to get there might not make it any easier.
I am old enough to remember old programmers complaining about the wave of new shareware/freeware apps that people made with Visual Basic when that came out. Many of the apps were visually awful because it opened up desktop app development to people with no aesthetic experience.
I don’t see that awful style any more despite those tools for rapid UI creation still existing, did those people get better or did they get bored and move on to other things?
I guess the same will happen with vibe-coders, they’ll get the experience to make better software or their poor quality apps won’t give them what they want and they’ll move on.
While the news may seem inconsequential, many people keep saying "where are all the new apps".
There you go. Your apps are here. Even if 95% go nowhere, some will become 1 person unicorns, perhaps 1 - 3 million ARR companies. If you're wondering if anyone gets rich off AI, it's that 5% of people that couldn't write it before - well they can now with a $20 subscription.
For your hypothesis to hold, you need to explain how your 1-person unicorn expects to get funded for their app when some guy with a $20 subscription can just as easily churn the same app or better.
Unicorn is indeed an exaggeration but 1-5M ARR doesn't need funding. Most in that range weren't VC funded, as by VC metrics that's considered a failure and they shut down if they can't get past it.
My dad was a software engineer when he was younger, but his skills atrophied over the decades as he worked his way into upper management and spent all of his non work time caring for the family. For the past 8 years or he's had an app idea for something he wants himself on his phone that he's been dying to make, but just didn't have the means to do it. He tried no code/lo code options, but they were just to limited in their API coverage. Finally though in the past 3 months he's been able to fulfill his own personal dream to make that app with an AI driven platform. He has been thrilled and I think he's done a great job developing it. It's an incredibly niche audience and he knows that, but just thought I'd share that for some people out there it's legitimately a dream come true to be able to make and publish an app, while still being clear eyed that it's not going to make you any money.
For those that are curious, it is an alarm app with natures sounds instead of dings and beeps or jingles. As he puts it "none of the other existing apps have good enough sounds or interfaces".
I'm curious to check the app out, waking up with nature sound is the only alarm I tolerate!
+1, I’d love to see the app.
This is one of the cases where I do think AI development is handy. There are loads of simple apps (like in your example, an alarm with custom sounds) that someone could crank out if they take a couple weeks to learn some frameworks and a language. Or they could get some ad-filled slop app from the App Store that'll harvest their personal data and send it off to some foreign intelligence agency to spy on them and share it with spammers. Neither option is appealing to most people.
But AI can churn it out in a few minutes, and a human can go in to tweak things manually to their needs.
I recently did it with a little audio editing app. I needed something to edit sound effects for a game in a specific way. Learning about audio programming and whatever would've taken me a lot of time, and I put it off forever since even figuring out where to begin was a hassle. I asked an AI to make a basic app that did what I wanted and I put on a few finishing touches. Took about 10 minutes and works fine for my purposes.
My friend just made an app. The idea sounds really dumb and he keeps asking me to install it. He’s never written a line of code in his life. I’d imagine a lot of the apps are stuff like this. It’s an app that tells you who died today, and who you’ve managed to outlive. Seems really glum and a downer.
My grandparents would have loved this. They spent most of the mornings scanning through obituaries for old friends who had died. Might be one of those bittersweet hobbies you get into when you reach your 80s.
Eventually the cost to develop app and games could drop so low that we will need to shift our mental model in how we discover and use apps.
For example, TikTok revolutionized short form videos by introduced a UI where users can explore a lot more videos more quickly, and the cost of showing a bad video is significantly lower (then clicking on a long YouTube video). This eventually led to algorithmically led discovery and content that was created for that format.
You could easily imagine a TikTok for games, where you can instantly scroll between and start playing games with no installation or frictions. Over time games themselves would be designed for that format, hooking you up from the first second (like a TikTok video).
This would obviously change apps and games fundumenltally, just like TikTok did for videos.
There are already more games being released daily than is possible to curate and select what you want to play.
Though I agree with you that what you describe will likely happen, I think that is not the future I will enjoy.
Lots of people have tried this and most recently TikTok is trying to become TikTok for games by showing 0 install games in the feed
This just explained the "who's on first" my wife and I went through trying to find the right wood block game. They're all nearly identical, even copying/cloning exact UIs, labels, etc.
Not one actual app is mentioned. As with most articles that are about this, few if any public facing examples are described. Where are the lists of actual production software that was vibe coded and also successful?
The article is relatively clear that it is an assumption that the apps are vibe-coded based on the jump being so large. I guess they could’ve tried to cross-correlate that with sales of books or courses on app development that vibe-coders wouldn’t need.
There are a few examples of the types of apps people are making in the comments on this page and it sounds like a lot of the time it’s custom apps for a personal itch that might appeal to very few other people.
Similar to how I have Python scripts on my computer that I won’t publish. They’re not production quality, but I know how to deal with their quirks. I suspect a lot of the apps mentioned in the comments are similar and maybe that’s fine.
I imagine some of the rise is people using AI to clone existing apps too.
102 year old chiming in: I was a software engineer in the 1970s and lost the will to program. After watching tech podcasts like the one from the author of the article, I vibe coded a calorie tracking app for my dog, which is in all app stores.
Life is fun again. I feel energized and productive with my intellectual wheelchair.
That sounds fun and interesting! Where can I download your app?
30% is a surprising metric because just anecdotally my team's PR submissions have jumped by about the same ratio in the same time frame. (No, I'm not measuring it - I just own a downstream piece and have casually observed its higher rate of use).
So curation and marketing are going to become more important than ever.
Which means influencers, tech bloggers, etc. are going to be seeing a lot more business coming their way.
...and they are going to use LLMs to generate their reviews ;)
What the comments here fail to understand is that even if 80% of these is vibecoded slop, 20% of them isn't (classic Pareto), and that's still a ~17% increase of non-slop. Quite a lot.
An LLM being used to generate the code doesn't say anything inherent about the quality of the app. It just changes the distribution. It's like how knowing a person is a man makes it a lot more like they're into watching team sports, but it doesn't mean they actually are. Or that a woman isn't. As of April 2026, an app's code being primarily LLM written it's a lot more likely to be slop, but there's plenty that aren't slop. Similarly, there were millions of slop apps out there before anyone out there was using LLMs to code.
More and more people will start agreeing with this take and admitting it over time as the Overton Window shifts and it becomes more acceptable. But this has been true for 2 years now. The distribution has shifted, ironically towards a higher % of slop, because 2 years ago harnesses and other tooling weren't good enough yet to allow people with zero coding experience to build an app. It still took more effort, higher barrier. But people were already generating useful code with LLMs, and yes, even creating useful, non-slop, thought out apps whose code was majority LLM-generated.
"Show them! Where are they!?". Look at these comment sections, then take a guess why we aren't linking them everywhere and shouting it from the rooftops. Because it hasn't reached mainstream acceptance, so it's bad for business. People immediately associate it with slop, and they're not necessarily wrong in doing so because as said, 80% is slop. So for us 20%, who didn't vibecode something in a day but worked on it for months to produce something actually valuable, all it does is invite negativity with business impact. In offline, informal settings you'll find way more people who are willing to say it and indeed show.
I wish this is the point at which we could create a true alternative to the app stores. This is the moment we could escape the walled gardens. Yes a lot of those who are happy in their ecosystems will stay, but for the ones making the apps, I think there are better alternatives, especially now with PWAs. I think now more than ever is an opportunity to invest in a PWA based mini app platform.
"I'm going to put this fire over with the rest of the fire" but in app form
Instantly, I don't want to look at the App Store anymore.
Interesting, I made me think when was the last time I wanted to look at the App Store and it was… never? I mean I have to to install something, but I never go there just to window shop. (My kids do, but that’s because the games have video previews.)
One negative side to this is the time taken to review apps has gone up drastically.
Sure a most of these apps are "slop" and will never achieve any kind of success. However a small percentage will eventually flourish into businesses which will eventually starts hiring developers and other roles.
Increased enablement and higher productivity leads to greater output which will eventually lead to greater need for (some types) of tech workers in the end.
The world has been given hay making machines. Now people of all walks of life can make their own hay at a greater rate and with much less effort. They can also proudly display them along with other examples in centralized locations that conceptually take the form of haystacks. Also, I should add, the machines tend to make the hay with the color of a needle and with a needle shape.
This analogy almost works, except about a fifth the hay making machines' output is needles.
I don't see it as a negative. If even 0.1% of the influx of the new vibe coded apps are useful, that is still a good thing.
More apps means mean more employees whose job it is to screen apps, and dealing with customer issues. This defies the popular narrative that AI will result in a net loss of jobs.
..assuming that those roles will be performed by humans, that is.
Finally! The tsunami of incredibly useful, "AI" coded apps we've been waiting for. This is really good news.
Anybody categorized these apps? I mean, there were literally hundreds of flashlight apps in the Google android store at one point. Are "AI" apps doing variants of one thing, or are they all over the map?
We already had a shovelware problem in these stores before AI.
That's what's so surprising about the chase to solve the coding problem.
It's never been a problem. Not even where the steep cost is.
Scale strikes again. As with most things around AI the problem is the scale. The scale of impact is immense, the app store is flooded with slop, and we're not ready to handle it.
A take from Forbes a few weeks ago,
The App Store Is Flooded with AI Slop, Legitimate Developers Are Paying for It
https://www.forbes.com/sites/josipamajic/2026/03/24/the-appl...
I've been watching the /r/cli and /r/tui subreddits for some time. The amount of vibe coded apps posted there just continues to climb. Some people in the comments for these apps can be quite rude when they read the description and find out its vibe coded. Nevermind how vile some can be when it's not in the announcement but the author lets them know down the line in the comments.
Ha! I got raked over the coals when I asked for some help in a vintage Apple subreddit. I described the problem, what I tried to do to solve it and at the very end I also mentioned that I asked AI and that it gave me an absurd answer. So many people just read the one line and gave me an earful.
/r/chrome_extensions feels like it's getting close to being 100% LLM generated, extension code, submission descriptions which read like you accidentally went to LinkedIn, and generic LLM replies
I didn't trust any of the chrome history extensions so Claude Code made me one in five minutes...
To me this is fair. If you vibe code something and try to pass it off as your own work people will be angry about the deception.
I don't love seeing slop everywhere and I don't feel good about models being trained on people's hard work, but... I also have a hard time believing my work was ever much different. I've always regurgitated and synthesized existing solutions. I took them from open source examples. I read people's blogs. I'm basically a really slow LLM most of the time. Is that a form of deception too? I really wonder how much of a difference it is sometimes. Maybe LLMs are just a shortcut of sorts to get where we've previously gotten using very similar means. Just absorbing and recycling ideas, learning by reinforcement, so on.
No, building on top of other peoples work is fine. Taking credit for work you didn't do is not the same.
No? The problem with "plagiarism" is the taking credit for work other _people_ did. An LLM is not a person, therefor You are not plagiarizing, its a simply tool to use. Do you think its wrong to take credit for moving dirt with a shovel instead of your hands?
That's a valid take. I think there's substance to that claim. Maybe what I've been struggling with lately is how blurry the lines seem to be. When am I building on top of something, and when am I claiming credit I don't deserve?
Along these lines, an interesting category of work is when I have an LLM do something I could do myself. I totally understand the code, I instruct it all the way, I have it redo things, revise, rejig, etc... But I don't actually write any code. How responsible am I for any of that?
At work there are a ton of small scripts I use for piping data around ad-hoc, and this is often how I do it. Claude can make dumb pipes really well and remarkably quickly with reasonably clear specs given to it. I compose all kinds of specs, reports, plans, etc. using this workflow. And I find myself wondering... How much of this is me? How much credit do I deserve? The code is gone, the outputs remain, and I can't quite tell how responsible I am for the end product. It's a strange experience.
Do you have to know Assembler to be able to write code in Java? With the point being that you rarely know the underlying mechanics - and the same if true for vibe coding.
This is not a good analogy.
Nah, but you have to actually put the work in to get the credit. Lazily vibe coding slop and then passing it off as your work is like claiming you cooked a microwave meal.
Who cares?
I do, and plenty of other people. It's fine if you don't, but people will justifiably let you know how they feel about that :)
Are any of them good?
In my experience no, but I don't think that's a problem.
It's fascinating to see so many ideas and so much enthusiasm. I sometimes wonder if the fervor will die down as people realize it's still really hard to make truly fantastic software, but it's hard to say. There's a ton of inertia behind the vibe coding rush.
I also wonder if vibe coding is actually somewhat incompatible with the states of mind and contemplation that's often required to figure out how to solve problems properly. It isn't clear if you can brute force great solutions without putting in the initial domain distillation and idea incubation and so on. I'm sure there are exceptions but I have a feeling it'll never be trivial to come up with truly good and novel ideas for software, and vibing to get there might not make it any easier.
Without giving away exactly how old I am…
I am old enough to remember old programmers complaining about the wave of new shareware/freeware apps that people made with Visual Basic when that came out. Many of the apps were visually awful because it opened up desktop app development to people with no aesthetic experience.
I don’t see that awful style any more despite those tools for rapid UI creation still existing, did those people get better or did they get bored and move on to other things?
I guess the same will happen with vibe-coders, they’ll get the experience to make better software or their poor quality apps won’t give them what they want and they’ll move on.
While the news may seem inconsequential, many people keep saying "where are all the new apps".
There you go. Your apps are here. Even if 95% go nowhere, some will become 1 person unicorns, perhaps 1 - 3 million ARR companies. If you're wondering if anyone gets rich off AI, it's that 5% of people that couldn't write it before - well they can now with a $20 subscription.
For your hypothesis to hold, you need to explain how your 1-person unicorn expects to get funded for their app when some guy with a $20 subscription can just as easily churn the same app or better.
Unicorn is indeed an exaggeration but 1-5M ARR doesn't need funding. Most in that range weren't VC funded, as by VC metrics that's considered a failure and they shut down if they can't get past it.
Much needed, as we only had 450,000 apps to choose from before. /s
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