Color me shocked

GH Actions problems are so frequent that they are really not newsworthy anymore. Most of the time they don't even show up on the status page because they seem to be completely random (e.g. manually cancelling and restarting may resolve the issue).

It would result in a lot less noise if we got updates for when GitHub is up!

Interestingly all the separate enterprise cloud instances show the same thing:

https://us.githubstatus.com/posts/details/P7VGB7I

https://au.githubstatus.com/posts/details/PO54BK8

https://eu.githubstatus.com/posts/details/PRESCZY

https://jp.githubstatus.com/posts/details/P0N7ZG5

What's the point of (supposedly) separate and isolated data residency deployments if they all have single point of failure?

At this point, a hole in the market is open for a competitor offering a private SaaS solution. The downward trend has had a long tail, but these outages seem to have become business as usual for GitHub in 2026.

I came here to read a knock down drag out flaming fundamental indictment of the entire GitHub Actions ideology and the horse it rode in on, and all I got was this incident report.

And water is wet

GH nine sixes strikes again

With all these problems, it would be interesting to understand what incentivises GitHub to continue to offer 2000 free GHA minutes per month for private repos.

I moved my CI runners to Bunny recently, and not only is it cheaper, but it's much faster as well.

My company switched to a different provider for our action runners partly for reliability reasons. Despite that, jobs still aren't being dispatched.

We all know that AI is compounding the problem, but I wonder how much of it is actually AI writing extremely overly-complex (and likely inefficient) CI pipelines for vibe coders who have absolutely no idea what CI is or why they would need it. I'm sure the AI makes all sorts of great arguments to the user about why they need it and the user, none the wiser, blindly accepts it all. Why wouldn't they? It costs them absolutely nothing on an OSS repo.

I know that frontier models (Astra, Fable, Opus 5.5) at some point always end up writing a test that unnecessarily elongates CI. I've seen everything from literal sleep calls in a test unit to arbitrarily deciding a test needs to download a 100MB file to prove something works. As a engineer, I catch these, but a vibe coder has no idea there's probably hundreds of these in their code making CI take 10-20 minutes. Hell, they probably don't even click the "Actions" tab.

What a mess.

Nice to see that the companies pushing for AI get to feel the suffer from AI.