Programs to manage “stacks of patches” go back decades. That might be hundreds that have accumulated over years which are all rebased on the upstream repository. The upstream repository might be someone you barely know, or someone you haven’t managed to get a response from. But you have your changes in your fork and you need to maintain it yourself until upstream accepts it (if they ever call back).
I’m pretty sure that the Git For Windows project is managed as patches on top of Git. And I’ve seen the maintainer post patches to the Git mailing list saying something like, okay we’ve been using this for months now and I think it’s time that it is incorporated in Git.[1]
I’ve seen patches posted to the Git mailing list where they talk about how this new thing (like a command) was originally developed by someone on GitHub (say) but now someone on GitLab (say) took it over and wants to upstream it. Maybe years after it was started.
Almost all changes to the Git project need to incubate for a week in an integration branch called `next` before it is merged to `master`.[1] Beyond slow testing for Git project itself, this means that downstream projects can use `next` in their automated testing to catch regressions before they hit `master`.
† 1: Which is kind of a like a “megamerge”
Dangling footnote. I decided against adding one and forgot to remove it.
Turns out these two differences combined with tracking change identity over multiple snapshots (git shas) allow for ergonomic workflows which were possible in git, just very cumbersome. The workflows that git makes easy jj also keeps easy. You can stop yelling at clouds and sleep soundly knowing that there is a tool to reach for when you need it and you’ll know when you need it.
Yeah, and? Not everyone is in control of the culture of the organization they work in. I suspect most people are not. Is everyone on HN CEOs and CTOs?
A lot of people's taste making comes from reading the online discussions of the engineering literati so I think we need old folks yelling at clouds to keep us grounded.
That’s why it’s always the same confusing hype when it’s discussed, because it’s AI/LLM hype effectively