Summary

  • 73% of Flathub apps labeled as “AI Slop” were abandoned within months.
  • Many were deleted or received no updates after release.
  • Analysis suggests the Flathub app AI ban helped spare reviewers and curb quick abandonware.
    • OwOarchist@pawb.socialBanned from community
      link
      fedilink
      English
      arrow-up
      2
      ·
      2 months ago

      Behold, the future of software development: disposable slop!

      Why maintain software for decades when you can just abandon it and make a completely new one 3 months later? Don’t need to maintain the code if you just throw it away and build a new one instead.

      And all it will cost is a massive amount of AI tokens and environmental damage.

      • cmnybo@discuss.tchncs.de
        link
        fedilink
        English
        arrow-up
        1
        ·
        2 months ago

        Hopefully we will see a lot less of it with the cost of AI going up. Eventually it will just be the big companies that can afford it.

  • HiddenLayer555@lemmy.ml
    link
    fedilink
    English
    arrow-up
    2
    ·
    2 months ago

    Probably people who thought they could make an app with AI, realised it’s not possible to make good software without actually learning how software is made, and never opened Cursor or whatever again.

    • Lettuce eat lettuce@lemmy.ml
      link
      fedilink
      arrow-up
      0
      ·
      2 months ago

      It’s easy to slop together the 10 Billionth remake of Pacman, Minesweeper, Kanban board, ToDo list, etc.

      Actually making something innovative, unique, interesting, and useful is tough. It requires skill, knowledge, creativity, and passion to keep at it long after the high of vibe coding your first solitaire game fades away.

      If LLMs are blockchain 2.0, then Vibe coding is its NFT fad. Just a way to take advantage of useful idiots who think being a software engineer consists of typing code all day as fast as possible.

      • JustEnoughDucks@slrpnk.net
        link
        fedilink
        arrow-up
        1
        ·
        2 months ago

        There was a rash of people shoveling kanban “first project”-ware for a year or two a while ago. Everyone and their mother made a kanban app and advertised it on reddit and Lemmy. All also abandoned within a few months and were exceedingly mediocre to begin with.

        Just because you made a project, doesn’t mean you have to advertise it as a maintained app, especially if it is one of 1k of the same projects.

        I think the problem partially is people thinking they have to “get a following” and get “github stars” on everything they make in order for it to be a valuable experience.

  • dan@upvote.au
    link
    fedilink
    arrow-up
    1
    ·
    2 months ago

    I agree that AI slop is bad, but I don’t really agree with their method of determining if an app is abandoned (no updates in 2-3 months).

    Sometimes apps don’t need updates. Some Linux apps don’t receive major updates for years. I used backupninja (https://0xacab.org/liberate/backupninja) for long time even though sometimes there’s 2-3 years between releases, because it did what I needed. (I switched to Borgmatic at some point though).

    I didn’t update one of my apps for over a year because it already did everything I needed, and I wasn’t receiving any major feature requests. There’s still some bugs I need to fix but I just haven’t gotten around to it yet.

  • boonhet@sopuli.xyz
    link
    fedilink
    arrow-up
    1
    ·
    2 months ago

    It’s unsurprising.

    Normal development: Start work on new project, design it really well, start work, get bored after a week. Project 10% towards first release. Oh well.

    Vibe coding: Have a buggy mess ready in a few hours, spend the next few days improving it somewhat, get bored after a week, app was already released by the time you quit.

  • daniskarma@lemmy.dbzer0.com
    link
    fedilink
    arrow-up
    1
    ·
    2 months ago

    Why they didn’t measure a baseline of general apps and non-AI apps abandonment rate?

    Without a contrast the information is useless?

    For all we know the abandonment rate of general new apps might be 98% or maybe 2%, who knows they didn’t gave us that number.

    As far as I know they didn’t even measure it. They only took 120 apps labeled as AI without trying to get any contrasts data. Incredibly poor methodology.