For the record, it's failing silently, too, showing e.g. "There aren’t any open pull requests." even though there are dozens. That's pretty bad, this will definitely mislead people.
I was surprised that incident didn’t seem to get as much attention since that was a pretty major data corruption bug, but I guess it was a much smaller scope of impacted repos/customers than a lot of these availability issues?
Wrapping my face in tinfoil: across the board, Amazon, Microsoft, GitHub, Anthropic and OpenAI, I’m seeing a lot of top-level service issues that sound an awful lot like code hitting production that hasn’t been fully tested.
Breaking buttons on the website is one thing, kinda, but Enterprise used to mean a certain degree of robustness and seriousness in product management.
Devs are expected to ship slop 10x faster. The AI tools genuinely help a bit, like maybe 2x, but the 10x "improvement" comes from not thinking about anything else than shipping your assigned features, not testing your code carefully, not getting proper code reviews, not dogfooding your stuff, and releasing carelessly.
Merge queues are not as frequently used… ~2000 PRs affected over 4 hours. I reckon that’s on the order of 10 commits per tenant. It’s a feature with low traction, probably because it creates more problems than it solves.
while external merge queues offer a ton more features, i wouldn't describe any of them as 'perfect' based on the simple fact the UX is bolted on. github continues to display their native UI components for merging, and users are forced to interact via arcane commands in comments or external CLIs/webpages. not ideal!
