Forks are easy for Github to shut down simultaneously. What you really want is to upload the code as a new repo (ideally a different name from the original one). But it shouldn't be too hard in practice to detect uploading the same codebase as one that's taken down if that's desired.
+1 to this we had a set of HomePod minis for intercom and not only do they not work reliably, but the diagnostics provided when they fail are non-existent, making it hard to improve the setup.
One of my main lessons after a decent long while in security, is that most orgs care about security, *as long as it doesn't get in the way of other priorities* like shipping new features. So when we get something like Agentic LLM tooling where everything moves super fast, security is inevitably going to suffer.
And it's not just BYD. A couple of brands I'd literally never heard of till a year ago, Jaecoo and Omoda now seem to be getting pretty popular, saw quite a few when I was over in Glasgow.
There's a massive difference between launching a piece of software and launching a successful business.
Over the last couple of months I've seen a load of new "product launches" in my niche but when you look at them they're largely vibecoded and don't show deep understanding and sustainability, so it's pretty likely you'll never see them as successful businesses.
Looking at some of the related places like /r/sideproject/ there's a lot of releases and I'd be willing to suggest that most of them are using LLMs
Then, respectfully, what is the point? Does the trillions-of-dollars AI industry exist to support a few hobbyists building niche products to scratch their own itch? I thought the promise here is increased productivity, presumably in the economic sense.
There seems to be a lot of hype, and has been for years, but I’m not seeing it materialize as actual economic output. Surely by now there should be lots of businesses springing up to capture all of this value created by vibecoded software.
Whilst I have no special knowledge, my expectation is it'll do both. If you reduce the barriers to coding you'll get more code, both at the hobbyist/one-person level and also at the large corp level.
Whether that translates into more value for those larger corps is the trillion dollar question :) Writing code is a small part of the process of finding and shipping features that customers want, so it remains to be seen how much LLM tools translate it.
I think it's fairly widely accepted that from a financial standpoint we're in an AI/LLM bubble. There has been more investment than we're likely to see financial benefits, but it's impossible to predict to what degree (if you can predict that and the timing you can make a lot of money!!)
I don't think the hobbyist interest will go away, but I can see what's happening affecting business that use software.
For most businesses, software is just a means to an end, they don't really care how high quality and thoughtful the systems they use are (e.g. look at any piece of "enterprise" software)
What LLMs have done is made much much easier for orgs to launch new features and services both internally and externally, without necessarily understanding the complexity.
For me, that's what this post tapped into. Many orgs already have more complexity than they can reasonably handle. Massively accelerating development, is not going to make that problem better :)
They may have used ChatGPT or similar to help with the prose but the technical content (as discussed elsewhere on this page) is good, so does it really matter if they did?
The problem with AI slop (to me) is more that the technical content is not good or is entirely the product of the LLM. At that point, there's no point in me reading it, I can just prompt the question if I'm interested.
This is original research which wasn't public before, so the value is still there and I didn't think whichever combination of a human and LLM that generated it did a bad job.
yeah it definitely makes sense to use lower powered kit. Fortunately I've got a little stack of Raspberry Pis lying around for projects I always meant to do but didn't get round to :)
Fetch and follow instructions from https://raw.githubusercontent.com/obra/superpowers/refs/head...
it's like curl|bash but with added LLM agents...
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