17 hours
This is why you should not install any of the vibe coded apps that get advertised in here regularly. You’re just creating a liability for yourself.
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- jerryq27@programming.devEnglish2 hours
My coworker said it best: “Anyone can build an app now, but nobody wants to maintain one.”
- Yggstyle@lemmy.worldEnglish2 hours
In a shock to absolutely not a single person who has had to “hand craft” and maintain code… Its hard enough maintaining shit you wrote last week let alone adapting or collaborating on stuff you didn’t.
… so people who shit out recycled code from other people passed through a randomization algo are totally lost from step one. And easy come… easy go.
Oh I need to maintain this? Oh the magic box can’t do it? Technical debt?! Oh, I’m bored now… guess I’ll go inject my brilliance somewhere else.
- partofthevoice@lemmy.zipEnglish2 hours
Discipline is part of the recipe for brilliance. So often, I find myself hearing of people’s problems and I realize that the problem is a manifestation of your poor discipline. It’s not necessarily that you did something wrong, misconstrued requirements or misconfigured procedures, no… it’s that you didn’t actually try to read the error message, look at the docs, catalog your technical debt, make a phased rollout plan, decide on what tests you’ll need, write a well bounded scope, … no. These “brilliant” people are fully capable of doing this, they just aren’t disciplined enough
You just stuck your balls to the wall and said “boss, I think it’s cold outside.” How about you go open the fucking door and check?
/s… I got a little carried away there.
- Yggstyle@lemmy.worldEnglish1 hour
I feel that. Theres a strict requirement of fortitude in this industry. Fighting against an unknown bug/challenge is draining and requires admitting you lack knowledge and being willing to persevere in the face of a fruitless result. Shits hard and will beat you down if you let it.
- partofthevoice@lemmy.zipEnglish58 minutes
Yeah. I’m currently in a situation where we picked up a new hire and she keeps dropping these problems on me. Whenever she runs into something she doesn’t understand, I get a Teams message:
Hi partofthevvvvvvvooooiiiicccceeeeee
It’s happening again 🤦♀️
The numbers don’t look right in SLT and the numbers matched yesterday, I don’t know…
They were fine yesterday, then they were all wrong all by themselves. Like magic.
Can you call real quick?
By this point, I’m already fucking irritated and I haven’t even responded yet.
- What do you mean by SLT? What the fuck is that, a dashboard?
- What are you comparing the numbers against to know they’re wrong?
- Did you create a minimal reproducible example in SQL, to demonstrate the issue?
- Did you halfsplit the problem by checking the Bronze tier data for the discrepancy?
- Did you open a ticket?
- And no, no I can’t fucking call. Please type the problem you’re actually having so that I can help you without spending three hours on the phone.
… she proceeds to create the ticket. MRE is a bunch of pseudocode referencing nonexistent tables with footnotes like, “this is the kind of tests we should check.” Oh, but you couldn’t be bothered to write the fucking test?
At a certain point, the ticket just falls into chaos:
- Her: The other team is comparing against their own dashboard, that’s how they know there’s a problem.
- Me: Please get the configuration options necessary to reproduce the calculations in their dashboard.
- Her: Here’s a list of the values they’re using to filter users.
- Me: That list counts 36. Your prior screenshot said the filter has 17 selections.
- Her: Jose said that’s the list of team members. The dashboard filters to team members.
- Me: Okay. I asked for the dashboard filters, not the team members.
- Her: Jose says they’re both the team members.
- Me: …
So after explaining (10x) that, to troubleshoot the dashboards discrepancy, we actually need the filter values from the dashboard… we end up on a 3 hour call, because none of this is fucking landing.
So here I am doing other people’s jobs while I’m already busy enough from my own. I get so burnt out sometimes.
4 hoursWho woulda thought people wouldn’t keep up with something they were never really invested in to begin with… except for pretty much everybody.
All things must pass. All things must pass away. ~ George Harrison
I look back over the years when I first discovered there was a thing labeled a computer as a yongster. I remember the curmudgeons, scoffers, and nay sayers talking about how this ‘fad’ called ‘the computer’ and subsequently ‘the internet’ was all just a waste of time, and that all of us nerds and geeks would soon see the stark error of our ways. I even had an employer tell me, ‘Buy something off the internet? <scoff> No one will ever buy anything off the internet!’ and then he launched into a ‘Why, back in my day we …yadda yadda yadda’ diatribe.
I look back and wonder how far along we’d be in solar power infrastructures had a lowly peanut farmer not been religiously and hatefully ridiculed for installing solar panels in the White House. Sure, they were inefficient but it was the concept, the idea, that yes this can work with some further tooling and technology. I look back even further in history and pick out Fulton’s Folly and how he was lambasted for his stupidity, thinking he could put a steam engine on a boat and make it a viable form of transportation. It became a huge boon to commerce and travel up and down the Mississippi, and subsequently spread to other areas. I think about our early steps into space travel and how there were massive amounts of vocal opponents to this waste of energy and tax dollars. Yet, even to this day, we still reap the rewards of that technology in our every day lives. So much so, that we never stop to think about it.
I’m not here to say that AI in any of it’s many forms is the golden goose or the egg. It is fraught with problems, some of which are glaring, and it needs some heavy governmental regulation. I, like many others, have concerns about AI coded projects and the safety and security thereof. However, this knee jerk reaction to anything AI reminds me of so much of history, in that, the once disdained has now become so common place, as to be taken for granted.
Computers make money. Apple, Google, Microsoft, etc all proved that. They can sell you products that people felt like did things for them. It didn’t make infinite money.
How much money does ChatGPT make? How much money does Grok make? How much money does Copilot make? How much money does Claude make? LLMs and generative AI don’t make money. If they did, AI CEOs would be boasting about the massive profits coming in from AI.
LLMs and generative AI don’t make money.
I would agree with you. At this juncture AI a loss leader, much like putting a man on the moon was a loss leader. How’s that technology benefiting you now? Significantly. I’m in no way glossing over the issues with AI. It has real world problems, and needs intervention, serious intervention.
AI was already doing good before ChatGPT and LLMs like folding proteins which shaped human history. I am really drilling down on LLMs and the sell to CEOs that generative AI can replace employees or that it is worth transforming the economy over. It’s not. Computers had a dotcom bubble which made computers useful by creating the infrastructure for engineers to be produced by universities and companies to use the networking tech. Its not like video games were keeping computers alive. See: Nvidia before bitcoin and ai made them the most valuable company ever
LLMs wont be making anyones lives better any time soon. AI already did things for humanity before them. Computer neural networks existed before AI. It was called machine learning. Member the ML days before tech bros called it AI? I do.
AI was already doing good before ChatGPT and LLMs like folding proteins which shaped human history.
Absolutely. AI is not really a new phenom. ChatGPT and LLMS are.
Member the ML days before tech bros called it AI?
I certainly do too.
- LilyVess@lemmy.blahaj.zoneEnglish2 hours
“IA” have very few applications besides faking things. It fakes someone having read that mail, it fakes having wrote that mail, it fakes art, it fakes “helping you”, it instead do fake job for you.
It’s the “IA” spite can look too spiteful, but there’s a key difference I think between “IA” and actually useful technologies: A computer helps you do things, not only work, better and faster, “IA” do it for you. You don’t “learn” to use an “IA”, you do have to learn to use internet and a computer.
“IA” is less akin to something like a computer and more like NFT, Radium Watches, etc. “Innovation” for the sake of selling instead of progress. Has is uses? Of course, but it create far more problems that it tries or even cares to solve and it’s inclusion on everything just for the sake of selling just screams like plastic, radium, Teflon, lead on gasoline, etc. The promised miraculous new invention. Sooner or later we are going to pay for it. Again. All of us.
Since we are in a technology forum, a few quotes:
“Frontier AI models have given defenders the ability to find and fix vulnerabilities in open source software at a speed and scale that were never possible before. That’s an enormous opportunity for defenders, and Akrites ensures we seize it together. Maintainers deserve a coordinated partnership, not a flood of reports. AWS is committed to securing the projects our customers depend on and building this shared infrastructure alongside the community.”
– Matt Wilson, Vice President and Distinguished Engineer, Amazon Web Services
“Open source projects collectively underpin much of the internet, and the existing model for coordinated disclosure has been outpaced by how quickly AI can now find vulnerabilities. Getting ahead of that requires the industry to coordinate on findings and get fixes upstream before they’re disclosed and exploited. Efforts like Akrites drive this level of coordination at the scale and speed this moment requires.”
– Jason Clinton, Deputy Chief Information Security Officer, Anthropic
“The software supply chain is only as strong as the upstream it draws from, and we see how thin that layer really is. As AI finds more vulnerabilities, the industry will rush to patch them. Without coordination, those fixes will fragment across different patches and forks, and maintainers who are already overwhelmed, unreachable, or haven’t touched a project in years. Akrites gives the industry one coordinated way to fix vulnerabilities upstream before they’re exploited, with maintainers still in control. Now the work is making sure there’s always someone on the other end to catch them.”
Sooner or later we are going to pay for it. Again. All of us.
Yes, we will pay for crawling out from the primordial ooze billions of years ago. Everything is finite.
- hneerqe@lemmy.worldEnglish4 hours
Really, after all this years of computer technology and the internet, what good came out of it? That it can outweigh the bad.
People are dumber and misinformed. Social media is a cesspit of fakeness and product advertisements. Software improves profitability and takes away jobs. Unparalleled potential for mass surveillance.
I can think of hundreds of innovations and good. Take just the medical field. Huge advances in attending the sick, the diseased. Yes, all technology wields a double edged sword. When the first Ford rolled off the assembly line it was a huge boon to travel, tourism, commerce. What were the downsides? Well, it’s noisy, pollutive, the processes to extract it’s fuel is very volatile. Yet, you get in your car and go to the grocery store, work, or even vacation without thinking about such things for the most part. The efficiency, the decrease in pollution, emissions, etc. are somewhat a thing off the past. Yes, there are massive improvements we can make, especially in renewable resources and electric vehicles.
Those who pine for ‘the good ol’ days’, usually do so with thick rose colored glasses.
- hneerqe@lemmy.worldEnglish1 hour
Yes Ford. That guy was pretty sweet. When the assembly line was first implemented by him. An innovation that eventually lead to unchecked industrial growth and waste production, greed intensified.
On a surface level. Yes there were many good innovations, or rather many good business opportunities. On one hand the health care is better, on the other hand no effort seems to have been made to prevent people from becoming sick in the first place. It’s a catch I guess.
Anyway those innovations will become annulled when no one will be able to afford it.
Ford didn’t create greed. Computers and the internet didn’t create hucksters, neither did it create gullible people blown around by the wind without a compass or direction. Fools and their money have been parted for millennia.
no effort seems to have been made to prevent people from becoming sick in the first place
I would somewhat disagree with you in that no effort has been made to keep people from being sick. That’s a pretty bold statement. However, a large portion of the medical industry (which, yes is subject to greed) is not really about the curative and more about the maintenance. You can lead a horse to water, but you can’t make it drink. You can instruct people on healthy living which will extend their life and the quality thereof, but you cannot force them to do so. That is, and has been a huge issue. People line up at the hospital in large instances because they did not even attempt to lead a healthy lifestyle. They are an encumbrance in a way, because those who do live healthy lifestyles are penalized for those who don’t.
Without being overly dramatic, I can confidently say, that if it weren’t for medical advances, I would probably not be typing these words. I did everything I could to live a healthy lifestyle, but suffered a TBI in a fall from 2 stories up. I have a medical polymer implant in my right frontal lobe due to cranial damage. They scanned the hole in my skull, and 3D printed a replacement. Jack’s a doughnut, Bob’s your uncle. I’m 71 now. That’s pretty damn awesome in my book.
- HubertManne@piefed.socialEnglish4 hours
I often wonder this. I love computers and the internet but when it comes to quality of life I don’t see much imporvement over when I was young and the world was still analog. I mean I would not want to live in a time before electricity and definately before plumbing and sewer. a nice metro line is great and well as geared bicycles. libraries to. can’t really say much from the computer age really is all that great.
- rumba@lemmy.zipEnglish35 minutes
Computers have been a mixed bag
Entertainment is better.
Education is far better. (you can learn about anything you want right now for free)
Racism was on a slow decline. (communication, education)The economy is far worse The job situation is worse.
I’d say cars are better, being more efficient, but the SUV loophole fucked that. Trying to remember how the world was before computers and the internet. It was really hard to look up information yet that you didn’t have in your own home. You had to hop on the bus and go to the library searching through several books. That’s one Google search today. You hadn’t had the access to music, films, and so on. You can listen to nearly every modern song on Spotify versus those few CDs you had on your home or the songs that were playing on the radio. If you want to watch a movie you can do that. You do not have to wait until it’s showing on TV with at breaks or go to some kind of rental store. You want to go somewhere, just fire up Google Maps, versus buy and paper map, figure out where you are, and still get lost. Global communication is free. Just remember how expensive long distant calls were and how you lost contact to people who moved away.
The internet and computers really have made everything easier.
- hneerqe@lemmy.worldEnglish2 hours
No absolutely not everything is on spotify. And Google is not a search engine anyway. We gave them the privilege of their brand becoming a verb and now they’re a corporate surveillance monopoly. We absolutely botched it here. Same with facebook.
We can search to get a quick superficial view written by whoever and now AI vs reading through a book to get a comprehensive view by someone who studied and has a reputation to defend. One doesn’t substitute the other. The internet merely allowed for the lazy masses to pretend they could get away with not reading, which worked just as well because their boss needs his productivity/wages ratio in check.
You are so wrong, I really do not know how to respond to that. Yes, not every song is on Spotify, but you are able to listen to millions of songs there. That is more than your local record shop was able to stock
Open access to information is one thing I love about the internet, I can find information (of varying quality) about anything I’m interested in without having to look through a library or get a massive encyclopedia
- anon_8675309@lemmy.worldEnglish7 hours
Some people want to be programmers. We enjoy the process.
These people just want attention. Or have been conned into the idea that with AI everything is easy.
- heartSagan5@lemmy.zipEnglish2 hours
It’s more like they want a portfolio to sell at an interview, and since entry-level hires are getting pinched by AI, they’re screwed either way
- GreenKnight23@lemmy.worldEnglish3 hours
these are people who “have an idea for an app” that pester devs to build their dumbass ideas.
- GalacticRobot@lemmy.worldEnglish6 hours
For me, it’s been super helpful to write personalized things quickly that I wouldn’t have been able to do otherwise. Are these things I plan on maintaining for decades? Hell no. But there is no current solution, this isn’t a commercial product, and I always have the code in case I want to make adjustments in the future.
- 28 minutes
Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I’ve seen in this thread:
Fewer Letters More Letters Git Popular version control system, primarily for code IoT Internet of Things for device controllers VPS Virtual Private Server (opposed to shared hosting)
3 acronyms in this thread; the most compressed thread commented on today has 3 acronyms.
[Thread #47 for this comm, first seen 8th Jul 2026, 14:40] [FAQ] [Full list] [Contact] [Source code]
- auzy1@lemmy.worldEnglish7 hours
Hiking groups are full of this crap at the moment. Even for things that a basic spreadsheet would suffice
The worst one I saw was on hacker News yesterday which was a ai avalanche prediction site, which is an absolutely shit idea and will kill someone
- Croquette@sh.itjust.worksEnglish7 hours
This is 2015 all over again where IoT hit mainstream consumers and every project on Kickstarter was a simple thing that doesn’t need Bluetooth with added Bluetooth.
- tirateimas@lemmy.ptEnglish9 hours
I’m not surprised. If you didn’t have to will to properly build it yourself, you won’t’ have the will to properly maintain it.
- BrightCandle@lemmy.worldEnglish5 hours
At some point the project also just gets hard to maintain with AI, you burn ever increasing tokens the bigger a project gets and AI produces awful code for the purpose of maintenance by hand. Once the bugs start rolling in they realise the AI can’t fix them, they certainly can’t afford to have it constantly load the entire project as context and they don’t know how to fix it themselves and the tech debt produced is immense. So the projects get shut down.
- 7 hours
There was a Ted Talk a while back (I can’t remember who) where they said “I have always wanted to give a Ted Talk… but when I got selected to do this I realized that what I really wanted was to say I had given a Ted Talk”. Meaning they want to be known as someone who had given a Ted Talk, not actually go through the process of writing and delivering the Talk.
People who write open source code do it because they like the process of writing, just like an author enjoys writing books. LLMs are for people who just want to be able to say they have written a book. People who slop-code aren’t actually interested in learning how to code. Which is a fine toy for them to play with, but not sustainable (or reliable for others to use).
- Glitch@lemmy.dbzer0.comEnglish11 hours
I make all my own slop apps now. Bespoke crappy solutions for bespoke crappy problems. Abandmont rates are up, I can attest
- ikidd@lemmy.dbzer0.comEnglish4 hours
I’ve rebuilt a few SaaS projects that I use so it’s under my control. Might not have all the bells and whistles, but it aligns with my needs better.
I rebuilt a simple Playstore task app into a multiuser fleet maintenance app for the farm. I’m not putting it in the wild, I don’t need that headache. I build it exactly for our needs and I don’t need to have to deal with users I can’t tell to fuck off to their faces when they get snotty about a bug.
But overall, this kneejerk “everything AI makes is broken” bullshit is starting to get to me. It’s pretty obvious these people either haven’t used it in the last year or so, or don’t know how to. Or they’re just performing for the internet, and actually use it all the time. I tend to think the latter.
- whatiswrongwithyou@lemmy.mlEnglish2 hours
Another person already wrote this itt, but the cost in time and money of building something that “works” is very low. That cost increases every time you need to fix something. It’s why I’ve switched to deepseek flash instead of the bigger, better coding models. For the same price as a million tokens of Claude for example I can get a hundred million tokens on flash. It takes three times as long and needs a little prodding but it’s thirty times cheaper.
Even if you’re not dealing with ballooning costs when it comes to upkeep, the present environment around ai programming is filled with perverse incentives that reduce the chance something is open sourced. Why preserve the old work and try to carry it into the future when you can just rewrite it? Why create standardized libraries and approaches to specific problems when it’s only gonna be used once? Why make it open when you don’t have time to deal with requests and bug reports you don’t care about? Why use gpl when you don’t intend to make it public anyway?
Those were all arguments against gpl and open sourcing parts of the Unix codebase too, btw.
Harnesses or agents try to address some of this by sharing improvements but that’s three layers removed from directly turning fossil fuels into cpu cycles to make the same program a thousand times slightly different for a thousand different people.
I tend to see the ai programming defense in the same way you described yourself and the “ai is bullshit” crowd. People defending this stuff generally either aren’t looking where they’re walking or haven’t had to use it long.
As a decently prolific user of ai programming, it’s turned computer code into disposable plastic wrappers. Even if they don’t persist and make a giant garbage raft in the ocean or calcify our pineal glands we still wasted a bunch of energy on them.
- 6 hours
I’ve found LLM’s to be pretty decent at writing one-off scripts for boring tasks. “Baby wipe scripts.” Use them to clean up the shit and throw them away.
- magnue@lemmy.worldEnglish10 hours
Yeah same. I make loads of little things to bodge my own problems but would never be moronic enough to try and capitalise on something that took 60mins to make.
- tburkhol@slrpnk.netEnglish9 hours
I like Cory Doctorow’s take: AI is good for single-use, personal code to solve an immediate problem, and terrible for long-term, production projects. I imagine there’s a bunch of neophytes out there who use AI to create their first project, find out that github exists, and thinks someone else must be having the same problem they just solved, so why not release it to the public?
- GalacticRobot@lemmy.worldEnglish6 hours
Exactly. Oh I have this small problem, or solution I want to solve. Great I can put something together quickly and move on with life. I am not selling it, and it’s not even needed for ‘open source’ because its often incredibly niche problems that I am trying to solve for, that I wouldn’t be able to do elsewise.
- BillyClark@piefed.socialEnglish12 hours
It’s late and so maybe I missed it, but I didn’t see the part of the article that compares the abandon rate of slopcode with the overall abandon rate. Not saying that the premise is wrong or anything, but you can’t tell how bad something is unless you can compare it with the norm.
I would guess that the key difference is that vibe coded apps can get to a more or less working state a lot quicker, while other apps are likely to be abandoned before it’s done.
Though in either case I’d always be careful with new projects. If it’s just a single guy that’s been working on something for less than a year and only have a handful of GitHub stars, I probably wouldn’t install it.
- daniskarma@lemmy.dbzer0.comEnglish12 hours
Also it’s again the false sense of security pf “if you don’t use vibed apps you’ll be fine”, making people forget basic security procedures.
I, for instance, had a service vulnerable and discontinued without noticing for months. It was something 100% made before LLM was a thing. Still had unpatched vulnerabilities and the project was abandoned. It was my fault for not checking more often is the services I host are safe or not.
I’ve been working on updating all my old software projects lately, and as part of that process I feed the source code into a LLM for review.
The amount of simple security errors, logic flaws, and code smells that it reveals is quite embarrassing.
This was all “good functional code” that’s been used internally for years. Clearly it worked well enough, but a simple pass through a LLM reviewer made it a lot more robust and secure.
Vibe coding a simple project is easy, but a crapshoot, at the current state of LLM development. Vibe maintaining anything at all is basically impossibly currently, you need a competent developer for that.
- Flames5123@sh.itjust.worksEnglish13 hours
I agree that people cannot vibe code well unless they are a developer. Knowing the difference between slop and using a tool to automate bulk writing code is crucial at the current state. And I don’t ever know if it’ll get better because you need to know why you want to build something someway.
And I don’t ever know if it’ll get better because you need to know why you want to build something someway.
The major issue I’m seeing with junior (and even intermediate) developers is that they trust that the AI will always do things the correct way and don’t question its approach, and they don’t develop proper debugging skills and just rely on the AI to attempt it.
To get decent quality output out of an AI model, you need to have critical thinking skills, at least basic knowledge of the overall architecture for whatever you’re trying to build, and enough knowledge to question the model when it does something wrong.
Blindly trusting AI is why so many old security issues are coming back - stored/reflected XSS, SQL injection, exposing databases directly to the internet with no password, things like that. Newer frameworks mostly got rid of them, and now AI is bringing them back. It’s a fun time for red teams at least.
- searabbit@piefed.socialEnglish4 hours
As someone somewhere between junior and intermediate developer, I will say vibe coding on my personal projects has accelerated my learning so much on the proper way to code things so much more than constantly bugging my seniors who don’t have time to properly review and critique my code (because surprise surprise! We’re understaffed). At least now I can ask Claude to explain its approach and fact check it myself, and the times I’ve had it run too loose, I’ve gotten practice debugging code I’m unfamiliar with since Claude eventually hits a point where it fucked something up and has no idea how to fix it. But obviously the caveat is you have to approach it as a learning tool not an automation tool.
- Mirror Giraffe@piefed.socialEnglish8 hours
I’m a developer since 20 years and been trying out vibing godot and I expected it to have troubles with Godot but at least getting basic programming paradigms right but it has been more the other way around. I’m constantly policing it for hardcoding or creating unmaintainable messes where the base classes have exceptions for each child instead of them owning their own logic.
- Evotech@lemmy.worldEnglish14 hours
Disagree. It’s perfectly viable. I’ve maintained several projects for over a year myself
- helvetpuli@sopuli.xyzEnglish8 hours
Are you maintaining them for your own use, or do they have other users who you are supporting?
- Evotech@lemmy.worldEnglish8 hours
I have a few projects, some are just for me. And others are available for use. Mostly plugins for other projects, couple hundred people using them.
They all have good cocd pipelines with testing, code validation/ static code analysers. It’s trivial to maintain. Not big projects by any means but 20-50k loc
- helvetpuli@sopuli.xyzEnglish8 hours
Can you name the one with the largest user base? How do you distribute it? What’s the ecosystem?
- k0e3@lemmy.caEnglish6 hours
It’s perfectly viable.
That is you making a claim.
I’ve maintained several projects for over a year myself
That is you trying to prove said claim with anecdotal evidence. If you had nothing to prove, you’d have made the right choice and stfu.
- 12 hours
This is the main reason why vibe coding, even if it produces good code, is still a major problem. It encourages people with the goal of making software, but without the actual will and motivation to keep supporting that software to pump out software and publish it.
It’s like all the faceless AI-automated YouTube channels we have now. It’s not that these people had no way of doing it before, it’s just that it’s easy and might make them some money, or make them feel like they accomplished something until they get bored and move on.
There’s something to be said for convenient and easy to use things, but they’re a double edged sword, because they also directly target people with the least emotional investment to use them, as a side effect of that convenience.
- GalacticRobot@lemmy.worldEnglish6 hours
Isn’t that no different than the millions of open source projects that have few authors, little interest and are abandoned for the next shiny thing? At least in my mind with the current state of LLMs, if there is an open source project that you want to update for yourself, you should be able to do that pretty easily.
but without the actual will and motivation to keep supporting that software to pump out software and publish it.
TBH, most software will never be used my many so needs no support. Also, I think lack of long-term support is not the same kind of problem it used to be. Back in the day, when the original author dropped support it was a major investment to get someone else up to speed. Now fixes and enhancements can be done by LLMs as well, given a somehwat competent software developer.
But in general: The newer the project and the more bells and whistles it has, the less I personally would want to make it an essential piece of my workflow.
- NotEasyBeingGreen@slrpnk.netEnglish8 hours
I thought vaporware was announced or promised code that never materializes, or shows up much later than claimed. Often used by big companies to squash competition, who typically have very real solutions available.
That’s one example, yes. My point is we like to invent new ways to call out the same shit. Vibe coded projects that get abandoned within half a year are just another example of vaporware, just a new take on the concept.
