The jj lovers can go build their massive beautiful branches off in a corner, I'll be over here building an SDLC that doesn't require that.
Old man yells at cloud moment is over
The jj lovers can go build their massive beautiful branches off in a corner, I'll be over here building an SDLC that doesn't require that.
Old man yells at cloud moment is over
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.
There are different types of "large" PR's. If I'm doing a 10,000 LOC refactor that's changing a method signature, that's a "large" PR, but who cares? It's the same thing being done over and over, I get a gist of the approach, do some sampling and sanity checks, check sensitive areas, and done.
If I'm doing something more complex and storied to the point it requires stacks with dependencies, then I'm questioning why I haven't split and chunked the thing into smaller PR's in the first place and having those reviewed. Ultimately the code still has to get reviewed, so often it's about reframing the mindset more than anything else. If it organizationally slows me down to the point that chunking the PR into smaller components is worse than a stacked-pr like approach, I'm not questioning the PR structure, I'm questioning why I'm being slowed down organizationally. Are my reviews not picked up fast enough? Is the automated testing situation not good enough? The answer always seems to come back to the process and not the tooling in these scenarios.
What problem does the stacked PR solve? It's so I can continue working downstream while someone else reviews my unmainlined upstream code that it depends on. If my upstream code gets mainlined at a reasonable rate, why is this even a problem to be solved? It also implies that you're only managing 1-3 major workstreams if you're getting blocked on the feature downstream which also begs the question, why am I waterfalling all of my work like this?
Fundamentally, I still have to manage the dependency issue with upstream PR's, even when I'm using stacked PR's. Let's say that an upstream reviewer in my stacked PR chain needs me to change something significant - a fairly normal operation in the course of review. I still have to walk down that chain and update my code accordingly. Having tools to slightly make that easier is nice, but the cost benefit of being on a different opt in toolchain that requires its own learning curve is questionable.
It looks like you see stack PR as an inherent complex construct, but IMO splitting the implementation into smaller, more digestable and self-contained PRs is what stack PR is about
So if you agree that is a better engineering practice, then jj is only a tool that helps you do that without thinking too much about the tool itself
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