I'd have thought so from the headline + initial content but then they say that the horizontal scale techniques are basically carrying over from the existing architecture (where it seems the problem is?) and this is mostly to help with what they call "vertical scale" (intra-repo scalability). They also admit right after that the most active repos today will receive short bursts of at most dozens of writes.
So this seems like really useful planning for a near future that likely helps prevent more issues but isn't really meant to help current issues. Am I reading this right?
Of course improvements like this are always useful either way. Not dunking here at all.
Hope it helps improve reliability, it was getting hard to defend GitHub with all the recent outages.
Or alternatively someone is doing something very silly.
Edit: https://assets.theregister.com/2026/04/04/azure_talent_exodu... The blog post that story is based on was also on HN.
Edit2: https://news.ycombinator.com/item?id=47616242 (1297 points)
Sure, it's nice that you can technically handle it, but to me it sounds like at that point something has gone absolutely horribly wrong in the way you set up your agents. Last time I checked, GitHub was intended as a platform to upstream finished work items, not a realtime cross-agent chat channel.
Handling thousands of git pushes per second implies thousands of issues, thousands of PRs, tens of thousands of comments, thousands of Actions runs, and dozens of releases. How's that part of their infra going to scale?
How about introducing rate limits instead, nudging people to not have agents push every individual single-line changes to GH, but instead have them collaborate as a local cluster and only upstreaming PR-sized chunks of finished work?
If you still need thousands of pushes per second you'd be looking at millions of lines of code, and at that point you're looking at an insane monorepo which is growing at a rate of terabytes per day, and which basically instantly becomes unusable due to being impossible to clone or check out.
It's not unreasonable to imagine thousands of commits per second to the kernel, especially if you consider that bots might be watching LKML and applying patches to various forks.
> Handling thousands of git pushes per second implies thousands of issues, thousands of PRs, tens of thousands of comments, thousands of Actions runs, and dozens of releases. How's that part of their infra going to scale?
For each issue my agent might raise 5 independent PRs as experiments.
Further, the more changes there are, the more important it is that they don't conflict, which means smaller changes, which means even more changes.
Bots interleaving typos, single line whitespace fixes, single dependency bumps, etc.
I'm starting to think AI isn't a productivity machine, but rather a machine for hypnotising people into the false belief of productivity.