https://news.ycombinator.com/item?id=47414032
Uv did solve a distribution problem for them.
There is still a lot of room to grow in the space of software packaging and distribution.
One of the bigger pain points I’ve faced in Python is dependency resolution. conda could take 30-60 minutes in some cases. uv took seconds.
A serious quality of life improvement.
Quite literally this is what first raised the alarm bells for me. Dependency resolution complexity is more of a symptom. If that delay ends up being the point where Ops finally agrees that things have gone very wrong, then fixing that delay is not really helping hire the maintenance folks that can make those dependencies.. well, "dependable" again.
Was there a better option? I’m sure. Choices were made. Regrets were had. Switching to uv was a huge improvement for our purposes.
If you’re going to be a grump about everything, sometimes your broken clock is going to be right. It’s still not worth showing off.
I'm not really sure about this.
On the other side, thinking about, if all the AI-Slope is moving to their own platform, it would be a big benefit for Github. And maybe this is their real goal? To let Github continue being a source of good high quality human-maintained training-material?