jjk caused a lot of problems for me when using multiple agents. It's running some sort of jj command that snap-shotted stuff and caused divergence (might have benefited from `--ignore-working-copy`). Not sure what the precise details were, but I gave up and uninstalled it after a week.
Multiple agents is definitely tempting fate. Concurrent modification of the same git repo by multiple entities?
At that point you should use multiple repos so they can merge & resolve.
EDIT: of course, if a single agent uses git to modify a repo instead of jj, jj may have trouble understanding what's happened. You could compare it to using an app that uses an sqlite db, and then also editing that db by hand.
Even with multiple workspaces (like git worktrees), once you use something like jjk, both the agent and jjk in the associated VS Code are operating on the same workspace, so that doesn't isolate enough. I don't think jjk uses `--ignore-working-copy` for read-only status updates, so it's snapshotting every time it checks the repo status while the agent is editing.
On top of that, throw in whatever Claude does if you "rewind" a conversation that also "reverts" the code, and agents wrongly deciding to work on code outside their focus area.
It's possible watchman helps (I need to look into that), but I'm so rarely using jj in VS Code (all I really want is inline blame), that it was easier to remove jjk than try to debug it all.
Divergence won't hide or lose any work, but it's an annoying time-suck to straighten out.
The point of jj is that it supports lockless concurrent writes to the same repo out of the box. It is what makes it a lot more suitable than git for agent workflows
The OP is talking about the `jj workspace create` command, which creates a separate working copy backed by the same repository. It’s not a bad way to work with multiple agents, but you do have to learn what to do about workspace divergence.
It does look nice, I'll give it a go. Just wanted to say that "Git-out-of-the-way source control" is the best tiny description of JJ I've ever seen, because it's both true and the pun works perfectly. It brought me joy.
It uses it when you use the git backend, but not when you don’t.
Right now, the only other backend is at Google, so it’s not practical for most people. But it’s not an inherent part of jj, and that’s really important, actually.
Yes, at the moment it does not. But a well factored system is important for gaining future benefits. For example, I work at a startup that is building jj related tooling, and that the git stuff is separated out cleanly is what enables us to build better things than if it were so tied to git.
To complete the analogy, given that we haven't launched, yes, this is a theoretical benefit for now. But that doesn't mean it's useless. jj is still pre-1.0 software, there's a lot more work to do, and more interesting things coming down the pipeline. That matters, even if it's not relevant to every potential user just yet.
Not working on it (yet), but I wish the jj <-> github story was a little more ergonomic.
Additionally, I am really missing support for stacked diffs, ie, easily pushing a number of commits into one PR on github each such that they all show their incremental diff.
ezyang's gh stack was pretty useful, if a little bit fragile [0]
and graphite.dev is also very nice, but paid software with a strong VC based motivation to become everyone's everything instead of a nice focused tool.
https://github.com/LucioFranco/jj-spr is one way to get stacked diffs on GitHub with jj, but also GitHub has at least claimed on X that native stacked diffs is coming so we'll see how that goes!
Git's plumbing also kinda sucks (in places). Some of the current limitations of jj in what syncing state between repos is due to things missing from git that they are having a hard working around, at least based on what I've seen browsing their tickets. That inability to push the really useful jj state upstream for pulling from any machine seems like a major pain point in jj right now (was one of the major issues referenced in a jujutsu intro guide last year linked on HN)
The same issue hit the initial efforts (that I think were the inspiration for jj) when the mercurial folks, recognising git had kinda taken over the market, experimented in making a mercurial frontend backed by the git db. Limitations like the diff format (mercurial's weave one is one the jj folks also want to add at some point) and the lack of a method for tracking phases (mercurial relies on this for clean history without throwing out commits), and lack of file move/copy tracking.
I worked with JJ for half a year, and it was great. However, I've since decided to go back to GIT because of compatibility with existing workflows and AI tools.
Pre-commit hooks are not possible [yet?], which is a minor inconvenience. Worse, workspaces/worktrees use a different mechanism. This causes like Claude Desktop (which uses worktrees) to break. Also Claude and other agents are always confused about JJ and fall back to git too often.
Seeing similar comments across different articles and technologies and it makes me wonder how much AI is going to hold back the adoption of new technologies going forward.
I find it a bit ridiculous to see that people or whole teams don't want to use JJ (or any tool, for that matter) because in essence they hired a "support intern" (read: AI assistant) who doesn't know or want to use it.
Even breaking changes in a library can cause massive pain. AI constantly wants to the use the old pattern it was trained on. Up until a few months ago it would always prefer using the 2021 edition of rust rather than 2024 for instance. Overall though I don't think this is insurmountable, but it definitely adds an impediment which will overall motivate people to do things non optimally for the foreseeable future. Luckily, not everyone is bound by AI today. I just write my own commits messages instead of letting the AI do it. jj is popular enough that I'm sure it'll learn how to use it in the next year (especially Gemini because Google is using jj internally and would probably train it on it as a result)
I noticed it get a lot better with the 4.5 models specifically. Before then, I would have to tell Claude "do a web search for the docs for jj, then do XYZ." Now I just tell it to "do XYZ using jj"
I agree it will hold back new technologies, but, at the same time, I'm not sure what the value add of new technologies will be going forward. Often, as is the case with git vs. jj, the value add of a new technology is mostly ergonomic. As AI becomes more ingrained in the development flow, engineers won't engage with the underlying tech directly, and so ergonomic benefits will be diminished. New technologies that emerge will need to provide benefits to AI-agents, not to engineers. Should such a technology emerge, agent developers will likely adopt it.
For this reason, programming languages, at least how we understand them today, have reached a terminal state. I could easily make a new language now, especially with the help of Claude Code et al, but there would never be any reason for any other engineer to use it.
I'm quite surprised to hear that "programming languages have reached a terminal state": there are (imo) at least four in-progress movements in the industry right now:
Even if LLMs become capable of writing all code, I think there's a good chance that we'd want those LLMs writing code in a language with memory safety and one amenable to some sort of verification.
I didn’t quite mean that programming languages have reached their terminal state, although I understand how my comment was interpreted like that. I meant that programming languages, as we known them today, have reached a terminal state.
Using Rust as an example: Rust aims to provide memory safety at the expensive of developer ergonomics. Personally, I shy away from Rust because I don’t like fighting the borrow checker.
However, with AI agents, Rust could make a lot more sense. Strict errors at compile time are helpful to an agent, which is more than happy to smash its head against the wall until it reaches a working solution.
Following this logic, we could see languages develop that are extremely impractical for humans to use yet provide benefits like memory safety or correctness. But these languages might not look anything like the languages we’re currently used to.
Even if you're not authoring changes as much, change management is likely still to be a very useful activity for a long while. Also note that not everyone is using AI today, and many that do only use it as glorified auto complete. It will take many more years for it's adoption to put us in a situation like your describing, why halt progress in the meantime? My personal productivity increased greatly by switching to jj, perhaps more than adding Gemini CLI to my workflow. I can more confidently work on several changes in parallel while waiting on things like code review. This was possible before but rebasing it and dealing with merge conflicts tended to limit me from doing it beyond a handful of commits. Now I can have 20+ outstanding commits (largely with no interdependencies) and not feel like I'm paying much management overhead while doing so. I can also get them reviewed in parallel more easily.
> For this reason, programming languages, at least how we understand them today, have reached a terminal state. I could easily make a new language now, especially with the help of Claude Code et al, but there would never be any reason for any other engineer to use it.
This is an interesting opinion.
I feel we are nowhere near the terminal state for programming languages. Just as we didn't stop inventing math after arithmetic, we will always need to invent higher abstractions to help us reason beyond what is concrete (for example, imaginary numbers). A lot of electrical engineering wouldn't be possible to reason about without imaginary numbers. So new higher abstractions -- always necessary, in my opinion.
That said, I feel your finer point resonates -- about how new languages might not need to be constrained to the limitations of human ergonomics. In fact, this opens up new space of languages that can transcend human intuition because they are not written for humans to comprehend (yet are provably "correct").
As engineers, we care about human intuition because we are concerned about failure modes. But what if we could evolve along a more theoretical direction, similar to the one Haskell took? Haskell is basically "executable category theory" with some allowances for humans. Even with those tradeoffs, Haskell remains hard for most humans to write, but what if we could create a better Haskell?
Then farther along, what if we created a LEAN-adjacent language, not for mathematical proofs, but for writing programs? We could throw in formal methods (TLA+) type thinking. Today formal methods give you a correctness proof, but are disconnected to implementation (AWS uses TLA+ for modeling distributed systems, but the final code was not generated from TLA+, so there's disconnect). What if one day we can write a spec, and it generates a TLA+ proof, which we can then use to generate code?
In this world, the code generator is simply a compiler -- from mathematically rigorous spec to machine code.
(that said, I have to check myself. I wonder what this would look like in a world full of exceptions, corner cases, and ambiguities that cannot be modeled well? Tukey's warning comes to mind: "Far better an approximate answer to the right question, than an exact answer to the wrong question")
Ah yes, the inevitable future where the only way we'll know to interact with the machine is through persuading a capricious LLM. We'll spend our days reciting litanies to the machine spirits like in 40k.
Praise and glory be to the Agentic gods. Accept this markdown file and bless this wretched body of flesh and bone with the light of working code. Long live the OpenssAIah
Pre commit hooks are complicated because jj just has a fundamentally different lifecycle than git does.
Tools that integrate with git specifically can be tough though, yeah. Some do Just Work, and some very much do not.
I’ve found a “we use jj not git for this project” in Claude.md makes falling back to git rare, but I also tend to incorporate version control into slash commands or skills directly rather than let Claude decide what to do.
I also prefer to manage version management myself directly, even with llm-gen'd CICD elements, so preferring jj hasn't been nearly as costly for me specifically :D
My team is asking the same. We are using jj with great success but tools like auto claude are designed around git and git worktrees. It's a shame - at least with git backend we can sort of make things work together.
The problem with this is that at the limit, this means "run the precommit on every save of a file," which is not really usually how people think of precommit hooks.
Given jj's rebasing tooling, rewiring precommit into "prepush" feels like the right way forward. There's a bit of a phase transition between commits on your machine and commits that are out in the wild, after all.
For me it's mostly about doing as much of CI locally as feels reasonable to do quickly to save an iteration cycle. But I live in a world of badly configured text editors and the like so I usually have some silly formatting error
I agree about hooks and workspaces, but I'm surprised your Claude is having issues with jj itself. jj is definitely in the training data now, so it might be a matter of guiding it with CLAUDE.md.
It usually works, but sometimes it'll try to use git instead of jj at random and needs a reminder. As JJ is not completely stable it tries some old commandline versions as well. This improved after I put in some lines in my agents file, but still it's much better at complex changes with git than jj.
If it helps, this was all I needed in my CLAUDE.md to make it use jj perfectly:
# Version Control
- IMPORTANT: YOU MUST assume we use Jujutsu ("jj") for version control. Check by running `jj root` (or look for a `.jj/` directory) to confirm.
- If I say "commit", "branch", "squash", etc., assume jj equivalents first.
- You can ignore any `git add` command, since jj always auto-adds.
- Use `jj` commands instead of `git`. Never run `git` in a jj repository.
- ALWAYS prefer jj change IDs over commit SHAs. jj change IDs are stable.
- jj doesn't usually require named branches
- If you need named branches, use `jj bookmark`, but you must manually update the bookmark after making new commits, since they won't automatically get updated
- When reading data from jj, always use `--ignore-working-copy` to avoid snapshotting the working copy (which is slow and unnecessary for read operations). But when writing (commit, squash, rebase, etc.), you MUST NOT use `--ignore-working-copy`.
- If you get "Error: The working copy is stale", run `jj workspace update-stale` first
I actually asked about that on the GH discussions a couple weeks ago, but based on this (https://github.com/jj-vcs/jj/issues/7229), I'm not sure it's 100% foolproof to turn on auto-updates.
It might be ok for human use, but I have definitely seen agents in one workspace start encroaching on another workspace's turf. (Rare, but it's a huge pain to fix when it happens.)
I love jjui, but I feel like it's also the reason I still use him over vscode. If you already use vscode, doesn't using a vscode extension make more sense?
Of course there are some people that will want a gui not matter what. Then an extension or separate program is the only thing you can do. But i think it is really nice to have the same tool available everywhere, also in the terminal. And if you want a neat and vertical pane in vscode just drag a new terminal window next to your code and run jjui in it.
Strongly agree, and it's always getting better. The maintainer is a hero, and there's a few other regular contributors who do great work. They're always super responsive to feedback
Great to see this. I played around with jj about two months ago and really enjoyed using it on the command line, but I found it difficult to understand the interaction with git and GitHub and decided to put it off until I had more time. (I don’t recall the specific issues I had…) Maybe this extension can remove some of that friction.
> Stay in your editor while GitHub does the rest. VisualJJ tracks pull-request status on the change tree and lets you create PRs in a couple of clicks, so moving changes from “draft” to “merged on GitHub” feels like one smooth flow.
Fair point, I thought it had been eliminated, but apparently that is pending the adoption of the project by a foundation such as Apache or the Linux foundation.
One obvious case where magit isn’t useful as opposed to jj is if you’re not an emacs user.
jj has some additional features over just a nicer UI that I believe magit can’t do, but given that I haven’t used magit yet I am not 100% sure of how that comparison is exactly.
I used/use magit a lot, and rebasing is much nicer with magit. But you're still faced with having to be in git land. JJ there's a lot of "rebasing at the speed of thought" because you really are just moving nodes around and "do what I mean" kicks in.
There's this other thing too, which is that jj I've always felt comfortable modifying changes that are not what I currently have checked out. With git it's always felt like the first step for any change management is "check out the changes into the working copy".
Because jj is vastly simpler and more powerful than git, while being compatible with git (so you can keep using Github etc). There's tons of articles and videos on the topic, and many other posts here on HN about it
Check out jjui in particular. Makes it even easier
There's a different, open source Jujutsu extension as well: https://github.com/keanemind/jjk
jjk caused a lot of problems for me when using multiple agents. It's running some sort of jj command that snap-shotted stuff and caused divergence (might have benefited from `--ignore-working-copy`). Not sure what the precise details were, but I gave up and uninstalled it after a week.
Multiple agents is definitely tempting fate. Concurrent modification of the same git repo by multiple entities?
At that point you should use multiple repos so they can merge & resolve.
EDIT: of course, if a single agent uses git to modify a repo instead of jj, jj may have trouble understanding what's happened. You could compare it to using an app that uses an sqlite db, and then also editing that db by hand.
Sibling comment from gcr has the right details.
This doesn't involve git use at all.
Even with multiple workspaces (like git worktrees), once you use something like jjk, both the agent and jjk in the associated VS Code are operating on the same workspace, so that doesn't isolate enough. I don't think jjk uses `--ignore-working-copy` for read-only status updates, so it's snapshotting every time it checks the repo status while the agent is editing.
On top of that, throw in whatever Claude does if you "rewind" a conversation that also "reverts" the code, and agents wrongly deciding to work on code outside their focus area.
It's possible watchman helps (I need to look into that), but I'm so rarely using jj in VS Code (all I really want is inline blame), that it was easier to remove jjk than try to debug it all.
Divergence won't hide or lose any work, but it's an annoying time-suck to straighten out.
The point of jj is that it supports lockless concurrent writes to the same repo out of the box. It is what makes it a lot more suitable than git for agent workflows
The OP is talking about the `jj workspace create` command, which creates a separate working copy backed by the same repository. It’s not a bad way to work with multiple agents, but you do have to learn what to do about workspace divergence.
Like git, you don’t lose any history.
It does look nice, I'll give it a go. Just wanted to say that "Git-out-of-the-way source control" is the best tiny description of JJ I've ever seen, because it's both true and the pun works perfectly. It brought me joy.
it is worth noting that Jujutsu uses Git’s storage, networking, and ecosystem.
It uses it when you use the git backend, but not when you don’t.
Right now, the only other backend is at Google, so it’s not practical for most people. But it’s not an inherent part of jj, and that’s really important, actually.
For anyone that does not work at Google, it sounds like an implementation detail that does not matter.
Yes, at the moment it does not. But a well factored system is important for gaining future benefits. For example, I work at a startup that is building jj related tooling, and that the git stuff is separated out cleanly is what enables us to build better things than if it were so tied to git.
To complete the analogy, given that we haven't launched, yes, this is a theoretical benefit for now. But that doesn't mean it's useless. jj is still pre-1.0 software, there's a lot more work to do, and more interesting things coming down the pipeline. That matters, even if it's not relevant to every potential user just yet.
10 years of using Git and I never knew undo was what I craved. And the ability to rebase and edit commits in a single command.
Solves 90% of my problems so haven't felt like I needed any additional tooling on top of jj.
But I am curious is there some edge case on jj that I missed. That you folks are working on improving tooling for?
Just really curious about this new world with some better solutions to git.
I liked pijul a bunch too but lack of compat with git meant I can't use it for work... Haha real sad moment right there.
Not working on it (yet), but I wish the jj <-> github story was a little more ergonomic.
Additionally, I am really missing support for stacked diffs, ie, easily pushing a number of commits into one PR on github each such that they all show their incremental diff.
ezyang's gh stack was pretty useful, if a little bit fragile [0] and graphite.dev is also very nice, but paid software with a strong VC based motivation to become everyone's everything instead of a nice focused tool.
[0] https://github.com/ezyang/ghstack
I'm also not super happy with the default 3-way merge editor, but often cannot use vscode or other GUIs.
https://github.com/LucioFranco/jj-spr is one way to get stacked diffs on GitHub with jj, but also GitHub has at least claimed on X that native stacked diffs is coming so we'll see how that goes!
Git's plumbing is great. Git's porcelain is what sucks. JJ replaces the porcelain.
Git's plumbing also kinda sucks (in places). Some of the current limitations of jj in what syncing state between repos is due to things missing from git that they are having a hard working around, at least based on what I've seen browsing their tickets. That inability to push the really useful jj state upstream for pulling from any machine seems like a major pain point in jj right now (was one of the major issues referenced in a jujutsu intro guide last year linked on HN)
The same issue hit the initial efforts (that I think were the inspiration for jj) when the mercurial folks, recognising git had kinda taken over the market, experimented in making a mercurial frontend backed by the git db. Limitations like the diff format (mercurial's weave one is one the jj folks also want to add at some point) and the lack of a method for tracking phases (mercurial relies on this for clean history without throwing out commits), and lack of file move/copy tracking.
This comment made me reconsider my attitude about git a little bit. Thank you.
I worked with JJ for half a year, and it was great. However, I've since decided to go back to GIT because of compatibility with existing workflows and AI tools.
Pre-commit hooks are not possible [yet?], which is a minor inconvenience. Worse, workspaces/worktrees use a different mechanism. This causes like Claude Desktop (which uses worktrees) to break. Also Claude and other agents are always confused about JJ and fall back to git too often.
Seeing similar comments across different articles and technologies and it makes me wonder how much AI is going to hold back the adoption of new technologies going forward.
I find it a bit ridiculous to see that people or whole teams don't want to use JJ (or any tool, for that matter) because in essence they hired a "support intern" (read: AI assistant) who doesn't know or want to use it.
Why would I learn the abstraction of JJ on top of git when I've got a butler who's happy to deal with git directly?
You're right in principle, but it just seems JJ is a solution in search of a problem.
How does your AI agent deal with large merge conflict resolution?
It just reads through the merge conflict and intelligently resolves it. This is not a problem.
Even breaking changes in a library can cause massive pain. AI constantly wants to the use the old pattern it was trained on. Up until a few months ago it would always prefer using the 2021 edition of rust rather than 2024 for instance. Overall though I don't think this is insurmountable, but it definitely adds an impediment which will overall motivate people to do things non optimally for the foreseeable future. Luckily, not everyone is bound by AI today. I just write my own commits messages instead of letting the AI do it. jj is popular enough that I'm sure it'll learn how to use it in the next year (especially Gemini because Google is using jj internally and would probably train it on it as a result)
Claude Code has zero issue using jj, for what it’s worth.
I noticed it get a lot better with the 4.5 models specifically. Before then, I would have to tell Claude "do a web search for the docs for jj, then do XYZ." Now I just tell it to "do XYZ using jj"
do you use it with git worktrees? or how do you handle multiple claudes?
I use jj workspaces, which are pretty similar to git worktrees. But 95% of the time I just use one Claude.
Innovation budget is a finite resource
I agree it will hold back new technologies, but, at the same time, I'm not sure what the value add of new technologies will be going forward. Often, as is the case with git vs. jj, the value add of a new technology is mostly ergonomic. As AI becomes more ingrained in the development flow, engineers won't engage with the underlying tech directly, and so ergonomic benefits will be diminished. New technologies that emerge will need to provide benefits to AI-agents, not to engineers. Should such a technology emerge, agent developers will likely adopt it.
For this reason, programming languages, at least how we understand them today, have reached a terminal state. I could easily make a new language now, especially with the help of Claude Code et al, but there would never be any reason for any other engineer to use it.
I'm quite surprised to hear that "programming languages have reached a terminal state": there are (imo) at least four in-progress movements in the industry right now:
1. Memory safety 2. Better metaprogramming capabilities 3. Algebraic effects 4. Solver/prover awareness
Even if LLMs become capable of writing all code, I think there's a good chance that we'd want those LLMs writing code in a language with memory safety and one amenable to some sort of verification.
I didn’t quite mean that programming languages have reached their terminal state, although I understand how my comment was interpreted like that. I meant that programming languages, as we known them today, have reached a terminal state.
Using Rust as an example: Rust aims to provide memory safety at the expensive of developer ergonomics. Personally, I shy away from Rust because I don’t like fighting the borrow checker.
However, with AI agents, Rust could make a lot more sense. Strict errors at compile time are helpful to an agent, which is more than happy to smash its head against the wall until it reaches a working solution.
Following this logic, we could see languages develop that are extremely impractical for humans to use yet provide benefits like memory safety or correctness. But these languages might not look anything like the languages we’re currently used to.
Even if you're not authoring changes as much, change management is likely still to be a very useful activity for a long while. Also note that not everyone is using AI today, and many that do only use it as glorified auto complete. It will take many more years for it's adoption to put us in a situation like your describing, why halt progress in the meantime? My personal productivity increased greatly by switching to jj, perhaps more than adding Gemini CLI to my workflow. I can more confidently work on several changes in parallel while waiting on things like code review. This was possible before but rebasing it and dealing with merge conflicts tended to limit me from doing it beyond a handful of commits. Now I can have 20+ outstanding commits (largely with no interdependencies) and not feel like I'm paying much management overhead while doing so. I can also get them reviewed in parallel more easily.
> For this reason, programming languages, at least how we understand them today, have reached a terminal state. I could easily make a new language now, especially with the help of Claude Code et al, but there would never be any reason for any other engineer to use it.
This is an interesting opinion.
I feel we are nowhere near the terminal state for programming languages. Just as we didn't stop inventing math after arithmetic, we will always need to invent higher abstractions to help us reason beyond what is concrete (for example, imaginary numbers). A lot of electrical engineering wouldn't be possible to reason about without imaginary numbers. So new higher abstractions -- always necessary, in my opinion.
That said, I feel your finer point resonates -- about how new languages might not need to be constrained to the limitations of human ergonomics. In fact, this opens up new space of languages that can transcend human intuition because they are not written for humans to comprehend (yet are provably "correct").
As engineers, we care about human intuition because we are concerned about failure modes. But what if we could evolve along a more theoretical direction, similar to the one Haskell took? Haskell is basically "executable category theory" with some allowances for humans. Even with those tradeoffs, Haskell remains hard for most humans to write, but what if we could create a better Haskell?
Then farther along, what if we created a LEAN-adjacent language, not for mathematical proofs, but for writing programs? We could throw in formal methods (TLA+) type thinking. Today formal methods give you a correctness proof, but are disconnected to implementation (AWS uses TLA+ for modeling distributed systems, but the final code was not generated from TLA+, so there's disconnect). What if one day we can write a spec, and it generates a TLA+ proof, which we can then use to generate code?
In this world, the code generator is simply a compiler -- from mathematically rigorous spec to machine code.
(that said, I have to check myself. I wonder what this would look like in a world full of exceptions, corner cases, and ambiguities that cannot be modeled well? Tukey's warning comes to mind: "Far better an approximate answer to the right question, than an exact answer to the wrong question")
Ah yes, the inevitable future where the only way we'll know to interact with the machine is through persuading a capricious LLM. We'll spend our days reciting litanies to the machine spirits like in 40k.
Praise and glory be to the Agentic gods. Accept this markdown file and bless this wretched body of flesh and bone with the light of working code. Long live the OpenssAIah
Pre commit hooks are complicated because jj just has a fundamentally different lifecycle than git does.
Tools that integrate with git specifically can be tough though, yeah. Some do Just Work, and some very much do not.
I’ve found a “we use jj not git for this project” in Claude.md makes falling back to git rare, but I also tend to incorporate version control into slash commands or skills directly rather than let Claude decide what to do.
I also prefer to manage version management myself directly, even with llm-gen'd CICD elements, so preferring jj hasn't been nearly as costly for me specifically :D
Yeah, in an ideal world we'd have "save hooks" but that would probably be much too computationally expensive in some cases.
My team is asking the same. We are using jj with great success but tools like auto claude are designed around git and git worktrees. It's a shame - at least with git backend we can sort of make things work together.
I wonder if you could replace the git commands exposed to an agent.
A 'commit' 'happens' when you leave a change in jj, i.e. by moving to a new or existing change; that's when you'd run pre-commit hooks.
The problem with this is that at the limit, this means "run the precommit on every save of a file," which is not really usually how people think of precommit hooks.
Given jj's rebasing tooling, rewiring precommit into "prepush" feels like the right way forward. There's a bit of a phase transition between commits on your machine and commits that are out in the wild, after all.
Maybe! I agree that it feels kinda better. I’m not a huge hook user personally though.
For me it's mostly about doing as much of CI locally as feels reasonable to do quickly to save an iteration cycle. But I live in a world of badly configured text editors and the like so I usually have some silly formatting error
I agree about hooks and workspaces, but I'm surprised your Claude is having issues with jj itself. jj is definitely in the training data now, so it might be a matter of guiding it with CLAUDE.md.
It usually works, but sometimes it'll try to use git instead of jj at random and needs a reminder. As JJ is not completely stable it tries some old commandline versions as well. This improved after I put in some lines in my agents file, but still it's much better at complex changes with git than jj.
If it helps, this was all I needed in my CLAUDE.md to make it use jj perfectly:
You can set jj to auto update stale workspaces btw
I actually asked about that on the GH discussions a couple weeks ago, but based on this (https://github.com/jj-vcs/jj/issues/7229), I'm not sure it's 100% foolproof to turn on auto-updates.
It might be ok for human use, but I have definitely seen agents in one workspace start encroaching on another workspace's turf. (Rare, but it's a huge pain to fix when it happens.)
There is no reason to use a VS Code extension, jjui is amazing! https://github.com/idursun/jjui
I love jjui, but I feel like it's also the reason I still use him over vscode. If you already use vscode, doesn't using a vscode extension make more sense?
Of course there are some people that will want a gui not matter what. Then an extension or separate program is the only thing you can do. But i think it is really nice to have the same tool available everywhere, also in the terminal. And if you want a neat and vertical pane in vscode just drag a new terminal window next to your code and run jjui in it.
If there was a vscode extension that had half the power of jjui, I'd consider it. But that's not the case. jjui is just amazing.
`jjui` is the best VCS TUI I've ever used, period. I tried `lazygit` and `magit` before and was not impressed.
Strongly agree, and it's always getting better. The maintainer is a hero, and there's a few other regular contributors who do great work. They're always super responsive to feedback
Great to see this. I played around with jj about two months ago and really enjoyed using it on the command line, but I found it difficult to understand the interaction with git and GitHub and decided to put it off until I had more time. (I don’t recall the specific issues I had…) Maybe this extension can remove some of that friction.
I wanted the same extension but more steerable and open source, so I built open jj recently https://github.com/olup/open-jj
You gotta put screenshots in the readme!
> Stay in your editor while GitHub does the rest. VisualJJ tracks pull-request status on the change tree and lets you create PRs in a couple of clicks, so moving changes from “draft” to “merged on GitHub” feels like one smooth flow.
Does it support stacking PRs?
EDIT: I should have looked more closely, looks like it does, though only in the Pro version: https://www.visualjj.com/docs/stacking
Just me or does sit well to monetize _mostly_ off the core benefits of an open source application?
Can't be easy to build a GUI on top, but I'm sure a 10% revenue to be redistributed to the hero behind jj would go a long way. Would also pay off.
There is nothing about neither the licensing of jj or the spirit of open source that stigmatizes this.
Nothing against, I agree.
The hero behind jj is employed by Google afaik, so we're good.
10% revenue to google?
While the primary maintainer is a Google employee, the majority of commits and committers are not. It's decidedly not a Google project.
I mean the Google CLA kind of says otherwise.
Fair point, I thought it had been eliminated, but apparently that is pending the adoption of the project by a foundation such as Apache or the Linux foundation.
Touché
If anyone uses frontends like magit - what is the usecase for this?
I feel like git is just easy-mode with magit and I don't really miss a whole lot more. I totally get this is you are using the git cli or some such.
Might just be my limited imagination though of course.
One obvious case where magit isn’t useful as opposed to jj is if you’re not an emacs user.
jj has some additional features over just a nicer UI that I believe magit can’t do, but given that I haven’t used magit yet I am not 100% sure of how that comparison is exactly.
rebasing, rebasing, rebasing.
I used/use magit a lot, and rebasing is much nicer with magit. But you're still faced with having to be in git land. JJ there's a lot of "rebasing at the speed of thought" because you really are just moving nodes around and "do what I mean" kicks in.
There's this other thing too, which is that jj I've always felt comfortable modifying changes that are not what I currently have checked out. With git it's always felt like the first step for any change management is "check out the changes into the working copy".
For anyone else that has absolutely no idea what this is: https://github.com/jj-vcs/jj
This extension snapshots the working state every 60 seconds by default. I ran out of disk space and had to turn that behavior off. YMMV.
It’s a great extension otherwise though.
10$ per month early access? I would prefer a one off price for an offline mode
I'm not convinced by jujutsu yet.
If I'm using git for version control, I'm going to use the Fork client (fork.dev) since it essentially replaces git's UI already.
And in a few years if I'm in the position where we want to switch away from git, I'd probably be looking at pijul.
But maybe that will change if jujutsu gets an open source non-git-based backend.
Ditched git for jj a year ago. Never going back.
If anybody is hesitant give it a try!
Doesn’t seem to properly support workspaces :’(
stupid question: why do people want to move away from git? and why is this vcs being talked about a lot these days?
Because jj is vastly simpler and more powerful than git, while being compatible with git (so you can keep using Github etc). There's tons of articles and videos on the topic, and many other posts here on HN about it
Check out jjui in particular. Makes it even easier
Git makes certain workflows more difficult than they could be. Using a different tool that makes you feel more productive is generally nice.
git has a terrible user experience, but you use it because everyone else is and it's powerful — much like Linux
it would be good if there was a powerful VCS with a good user experience and git compatibility
Not to be confused with Visual J++ :)
At least that's somewhat relevant. Every time I hear JJ, I remember Jay-Jay Okocha: https://en.wikipedia.org/wiki/Jay-Jay_Okocha
"Now, that's a name I've not heard in a long time. A long time."
Yeah, all of the kids moved to Visual J# :)
cool.