Lots of layoffs (“re-evaluating our operational footprint”) and switching to “agentic” processes. Target user is AI.
Anyone still hosting Gitlab?
Forgejo is great.
They endlessly tooted their horn about their diversity and fully remote operations. So this is pretty rich.
“This isn’t cost cutting” Oh, fuck off. This is trimming the fat before they try to look for a buyer again.
We are uniquely positioned to not only participate, but to lead in our category where the TAM is exploding at a step function rate.
Sucks, I manage GitLab in our company and it’s been difficult to maintain already without the vibe coded shit updates that break everything. I’ll need to see what are our options our but my assumption is that there aren’t any.
Forgeo?
The enterprise features we rely on do not exist in Forgejo last time I checked (8 months ago). Maybe it improved. Hell, my company would probably even be onboard moving to Forgejo if we can get a support contract with them and some of the enterprise features we rely upon (SCIM being the main one).
lol I just created my gitlab account today to get away from github and after reading this the account has been scheduled for deletion and now I have a new account with Codeberg. When are these dipshits going to learn that we don’t want AI in our workflows? I am capable of breaking things on my own, but at least when I break things I will learn from it.
Run gitea on a small box.
Selfhost
Ugh, but I don’t want to buy a Mac mini for those CI builds
Yeah I could do that, I have never done it before though which is why I was looking for another remote to use. Are there any good guides/tools out there you would recommend?
Check out forgejo self hosting gitlab is overkill.
I just selfhost bare git repos on an ssh server
That’s a perfectly viable approach for users who aren’t interested in forge tooling and just need git push/pull capability.
Thank you!
Gitlab CEO - 16 years in Microsoft, Gitlab CTO - 13 years in Microsoft
Can we say Microsoft Gitlab ?I hope not: we’re migrating from Gitlab to GitHub. I was never a fan because of the lack of enterprise features in GitHub (folders, with more granularity of settings and permissions, scalable usability), and certainly GitLab CI was extremely limited but wtf
Gitlab isn’t owned or controlled by Microsoft
No one claimed it was.
Just like everyone has already done I’d also recommend Codeberg/Forgejo👌
GitLab
“Software will be built by machines, directed by people.”
Oh my lord. Is this a delayed April Fools post?
This is dangerous for me to say on lemmy, but fuck it.
Doesn’t it make sense that machines would write for machines? Isn’t that kind of what we already do by creating compilation layers programmers use? We obviously wouldn’t write the manual 1’s and 0’s, and most people don’t write using assembly. Is this not a translation layer for us to be able to write code?
Right now we have LLMs writing with languages designed for humans, and it’s already doing some pretty wild stuff. If we get to the point where AI is literally a coding model (and not a generic LLM) that is able to use an AI optimized way of writing code, who knows what it would be capable of.
Code is one of the few things AI is specially suited for. AI is just a big fancy prediction machine, so what better application than something that is by definition formulaic and patternistic like code? I am not saying we are there now, but rather the idea that machines should write software does make sense when it becomes actually feasible.
If we could have programmed like this from the beginning, we would have. There has been many evolutions of making it easier to code. What’s easier than plain language?
@Bazoogle @1hitsong First of all - when it comes to creating programs, you want the output to be deterministic. Stochastic program output is a serious problem, as you _will_ get unreproducible bugs. Second, plain language is _not_ easy except for the simplest of tasks. Actual programs need to handle all kinds of corner cases and hardware weirdness and human weirdness. Your “plain language” goes from “do a thing” very quickly to “do a thing. but not that thing. or that other thing. and and and…”
Your “plain language” goes from “do a thing” very quickly to “do a thing. but not that thing. or that other thing. and and and…”
Your options would be write all those things in plain language, or program them all eith (hopefully) no mistakes, bugs, or vulnerabilities. Either way you have to catch all the situations. Even in plain language, not everybody will be able to effectively use AI to generate code. You need to have a solid understanding of software architecture to be able to get useful output.
when it comes to creating programs, you want the output to be deterministic
AI is capable of writing deterministic programs.
I would also like to preemptively emphasize that AI is not there yet. I am simply talking about the concept of machines creating software. If you try to step back from your anti-AI gut reaction and truly think about it, it would make sense to do if we get there technologically
I don’t know why anyone should take your post seriously when you say that AI isn’t there yet. You’re saying, purely hypothetically, that AI could do these things, if it existed, which it doesn’t. That can’t be argued against because no matter what anyone points to, you can just say that isn’t it.
But, like, your basic premise that machines would be the best programmers of machines is inherently flawed because humans created those machines, and thus it should actually stand that humans would thus be the best programmers of those machines. But that’s a reductive argument that kinda is more tell than show.
Programming is really just some layer of abstraction on modifying how a computer works, so vibecoding should really be just another layer to that abstraction. But as it stands now (and how we have specifically created our current LLMs), these outputs are not deterministic, and thus sort of fail as a means to program with. That’s one of dozens of reasons of why it fails as a programming substitute.
I always love to see companies do this with a semi open source product with investors
The code gets closed, a small clump of users split off, make their own version with beet and hookers, and soon the vast majority of the users following because the real open source one is so awesome
That was jellyfin’s story, but this is a variation on that and I’ve seen this story many times now
Bye bye gitlab,rest in pieces
with beet and hookers
I work on Jellyfin, but don’t like beets. Do I need to fork again?
Is every mother fucker just going bat shit insane this year? Goddamn it.
Idiotic. Use codeberg.
MacOS CI jobs?
They once were a promising alternative to MS GitHub but now they’re going down the same route.
Gitlab deleted ☢️ Selfhosting ♻️
- Software will be built by machines, directed by people.
- The agentic era multiplies demand for software. As the cost of producing software collapses, demand for it will expand.
objectively insane.
Governance built into the core.
I still believe that’s not possible, but that’s only my opinion.
As the cost of producing software collapses, demand for it will expand.
This part actually makes sense. Plenty of software doesn’t get written because it’s just easier or cheaper to do without it. It’s why BPM tools exist. Simplify the coding process and you can solve problems more cheaply.
I also think this will kill BPM tools. Why use BPM tooling when creating a real app is just as easy and more customizable?
I see that requires some more explaining my thinking:
There is only demand and supply.
Previously, we had “high demand” and “limited supply” which is what lead to software dev roles being a very well paid job in silicon valley and some other places.
Now, the promise of AI, making software by itself or increasing productivity, if true, mean that supply increases. That makes software cheaper. Theoretically.
But that’s the supply side.
What you’re talking about is also a “I have so much supply, I can now afford to do projects and software I could not do before, because my time, budget, etc. was limited.” But you already had the idea and the “demand” however low priority, already existed.
What isn’t happening, is that some company sits down and suddenly decides that they need more software than they thought they needed. Even the bit that is “replacing real humans” is replacing humans. It’s meeting a demand that was already there in a new way.
Using a metaphor / example, we currently, as humanity, manage to feed ourselves. Or let’s pretend that we do and nobody is starving. Someone claiming that “the demand for food is going to go up” is talking nonsense. They can say that demand for “cheese” or “meat” or “potatoes” will go up. But not food, because that market is already saturated. Because we’re not starving.
Yes, the fact that the demand is there and that the supply gets cheaper will mean that more software will be produced.
But not because of increased demand. AI doesn’t create it’s own demand.
…at least that’s my thought process and why I wrote what I wrote in the original comment.
I see what you’re saying. That makes sense. It’s an overloaded term.
In economic terms, a price drop would result in an “increase in demand”. Because current demand is the amount request “at current price”.
And that’s why it’s always talked about in relation to demand curves. Or how much demand there is at many theoretical.prices.
