Update Mar 4: Reported it here.
There is this bug with the Nextcloud menu bar that, when you collapse it, there is a moment of jank where everything is overlapped, and the corner is sharp and looks bad.
At first, I thought I'd report it in the nextcloud/tasks app where I saw it but then I noticed (as you can see in this video) that it also happens in contacts and files.
Nextcloud has plenty of problems but I use it regularly and want to do my part to improve the polish. It shouldn't be terribly hard to update the css transitions to make a less jank experience for tons of people. I reported a similar tiny janky CSS issue in tasks here today (yay).
This comes after seeing some posts (which I can't find now) about software quality that inspired me to try to improve a few things that have bothered me. Yay FOSS :)
At first, I thought nextcloud/server might be the place to report it, but that is a super busy repo. I tried digging through the related issues but don't see anything that jumps out at me as the problem. If I open a low-priority issue like this there, it probably won't get looked at. At the same time, if I spend time digging in and finding a fix without discussion, there is a decent chance it'll either be already fixed or considered not important enough to review among the 100s of open PRs.
Anywhoo, this turned out more of me writing this all just to realize I should probably give them the benefit of the doubt and open an issue even if I'm not totally sure it's the right place but I'll still post the question here: How would you go about finding the right place to report this and maybe even get a fix in? Or maybe have some related stories to share?
idk but somehow popular enough that the today show picked up on it https://www.youtube.com/watch?v=4P2A_eh0h58
What are the routing improvements like?
They are far too chill about using ML to kill people:
While other countries press forward, many Silicon Valley engineers remain opposed to working on software projects that may have offensive military applications, including machine learning systems that make possible the more systematic targeting and elimination of enemies on the battlefield. Many of these engineers will build algorithms that optimize the placement of ads on social media platforms, but they will not build software for the U.S. Marines.
While other countries press forward, many Silicon Valley engineers remain opposed to working on software projects that may have offensive military applications, including machine learning systems that make possible the more systematic targeting and elimination of enemies on the battlefield. Many of these engineers will build algorithms that optimize the placement of ads on social media platforms, but they will not build software for the U.S. Marines.
Wild how chill they are about using ML to kill people.
That's one of the conclusions toward the end of the video so you hit the nail on the head
Looks like it's also done for ARM. https://twitter.com/FFmpeg/status/1710970016777052326