They were originally on their own datacenters + huge amounts of burst and ancillary stuff in AWS, the internal push to move away from "the competitor's cloud" after the acquisition was huge and entirely stupid. I'm ex-GitHub and was one of the annoying people constantly saying GitHub should only move where it was provably the best option for GitHub - the third best major cloud provider is likely never it on merits alone.
If this story is true, it's good that they finally realised that GitHub's performance and availability mattered more than using Microsoft's products. It would mean someone finally came to their senses rather than forcing a wholesale push to Azure - but I bet they still want to have it both ways even if they concede some AWS now.
In the early 2000's they did the same dumb thing to WebTV: forced a move from Solaris to Windows, that completely wrecked the engineering team's velocity and motivation.
I can definitively say llms.txt is not used by any AI players. I run a blogging platform with around 80k blogs and /llms.txt is not requested by anything (other than humans checking to see if there's an llms.txt path).
All regular pages are aggressively scraped to the extent it's a problem I have to consistently manage, but not llms.txt.
If you want to see what that looks like, I one-shot a browser with Claude that does it[0]. Docs pages are early adopters to this[1][2], so that AI agents can better handle tasks.
Really? I'm daily driving JetBrains IDEs on Apple M3 and don't recognize any if this. Just give it a bunch of extra heap memory (eg 4g instead if 1gb) and it's fast!
I have given it up to 30GB of heap and i tried many different GC configs, i even ran it and my project on ramdisk.
The issue is related to using a monorepo with lots of code in different languages - openening single folders is fine. Ut i want to be able to work on dozens of services in a single window, all other editors manage just fine
I have a similar problem, large monorepo, things have become really bad lately to the point that the cursor is unresponsive. The only workaround I have found is opening each folder of the monorepo in its own IDE instance
Feel this so hard. The opposite is also true where you have a micro-service architecture and cursor faceplants in workspaces with multiple repos. We ended up building cortex.build partly because of this exact pain. Our context engine builds a git-aware dependency/provenance graph so it can stay local and only pull the relevant slice across a massive repo or dozens of smaller ones.
Well it only needs to be Kafka-compatible, so personally I hope that things like RedPanda will turn out to be easier to run for this use case than actual Kafka.
Having an S3-compatible store was already a fairly heavy dependency in terms of something to run correctly in production, it's just that most people don't even consider running their own object store at any real scale, they just go to cloud. Whereas running your own Kafka is something more platform teams are already attempting.
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