The thing about how merges are presented seems orthogonal to how to represent history. I also hate the default in git, but that is why I just use p4merge as a merge tool and get a proper 4-pane merge tool (left, right, common base, merged result) which shows everything needed to figure out why there is a conflict and how to resolve it. I don't understand why you need to switch out the VCS to fix that issue.
<<<<<<< left
||||||| base
def calculate(x):
a = x * 2
b = a + 1
return b
=======
def calculate(x):
a = x * 2
logger.debug(f"a={a}")
b = a + 1
return b
>>>>>>> right
With this configuration, a developer reading the raw conflict markers could infer the same information provided by Manyana’s conflict markers: that the right side added the logging line.
That still have an issue with the vocabulary. Things like "theirs/our" is still out of touch but it's already better than a loose spatial analogy on some representation of the DAG.
Something like base, that is "common base", looks far more apt to my mind. In the same vein, endogenous/exogenous would be far more precise, or at least aligned with the concern at stake. Maybe "local/alien" might be a less pompous vocabulary to convey the same idea.
I ended up creating a personal vim plugin for merges one night because of a frustrating merge experience and never being able to remember what is what. It presents just two diff panes at top to reduce the cognitive load and a navigation list in a third split below to switch between diffs or final buffer (local/remote, base/local, base/remote and final). The list has branch names next to local/remote so you always know what is what. And most of the time the local/remote diff is what I am interested in so that’s what it shows first.
Let’s see if I get this wrong after 25 years of git:
ours means what is in my local codebase.
theirs means what is being merged into my local codebase.
I find it best to avoid merge conflicts than to try to resolve them. Strategies that keep branches short lived and frequently merging main into them helps a lot.
The thing is, you'll typically switch to master to merge your own branch. This makes your own branch 'theirs', which is where the confusion comes from.
Not me. I typically merge main onto a feature branch where all the conflicts are resolved in a sane way. Then I checkout main and merge the feature branch into it with no conflicts.
As a bonus I can then also merge the feature branch into main as a squash commit, ditching the history of a feature branch for one large commit that implements the feature. There is no point in having half implemented and/or buggy commits from the feature branch clogging up my main history. Nobody should ever need to revert main to that state and if I really really need to look at that particular code commit I can still find it in the feature branch history.
I always checkout the branch I am merging something into. I was vaguely aware I could have main checked out but merge foo into bar but have never once done that.
I have met more than one person who would doggedly tolerate rebase, not even using rerere, instead of doing a simple ‘git merge --no-ff’ to one-shot it, not understanding that rebase touches every commit in the diff between main and not simply the latest change on HEAD.
Not a problem if you are a purist on linear history.
iirc ours is always the commit the merge is starting from. the issue is that with a merge your current commit is the merging commit while with a rebase it is reversed.
I suspect that this could be because the rebase command is implemented as a serie of merges/cherry-picks from the target branch.
Now git takes main and starts cloning (cherry-picking, as you said) commits from mybranch on top of it. From git's viewpoint it's working on top of main, so if a conflict occurs, main is "ours" and mybranch is "theirs". But from your viewpoint you're still on mybranch, and indeed are left on mybranch when the rebase is complete. (It's a different mybranch, of course; once the rebase is completed, git moves mybranch to point to the new (detached) HEAD.) Which makes "ours" and "theirs" exactly the opposite of what the user expects.
This is one of my pain points, and one time I googled and got the real answer (which is why it's such a pain point).
That answer is "It depends on the context"
> The reason the "ours" and "theirs" notions get swapped around during rebase is that rebase works by doing a series of cherry-picks, into an anonymous branch (detached HEAD mode). The target branch is the anonymous branch, and the merge-from branch is your original (pre-rebase) branch: so "--ours" means the anonymous one rebase is building while "--theirs" means "our branch being rebased".[0]
I'm on my phone right now so I'm not going to dig too hard for this, but you can also configure a "merge tool" (or something like that) so you can use Meld or Kompare to make the process easier. This has helped me in a pinch to work out some confusing merge conflicts.
This is better but it still doesn't really help when the conflict is 1000 lines and one side changed one character and the other deleted the whole thing. That isn't theoretical - it happens quite regularly.
What you really need is the ability to diff the base and "ours" or "theirs". I've found most different UIs can't do this. VSCode can, but it's difficult to get to.
I haven't tried p4merge though - if it can do that I'm sold!
> I don't understand why you need to switch out the VCS to fix that issue.
For some reason, when it comes to this subject, most people don't think about the problem as much as they think they've thought about it.
I recently listened to an episode on a well-liked and respected podcast featuring a guest there to talk about version control systems—including their own new one they were there to promote—and what factors make their industry different from other subfields of software development, and why a new approach to version control was needed. They came across as thoughtful but exasperated with the status quo and brought up issues worthy of consideration while mostly sticking to high-level claims. But after something like a half hour or 45 minutes into the episode, as they were preparing to descend from the high level and get into the nitty gritty of their new VCS, they made an offhand comment contrasting its abilities with Git's, referencing Git's approach/design wrt how it "stores diffs" between revisions of a file. I was bowled over.
For someone to be in that position and not have done even a cursory amount of research before embarking on a months (years) long project to design, implement, and then go on the talk circuit to present their VCS really highlighted that the familiar strain of NIH is still alive, even in the current era where it's become a norm for people to be downright resistant to writing a couple dozen lines of code themselves if there is no existing package to import from NPM/Cargo/PyPI/whatever that purports to solve the problem.
Seconding the use of p4merge for easy-to-use three-pane merging. Just like most other issues with Git, if your merges are painful it's probably due to terrible native UX design - not due to anything conceptually wrong with Git.
Did you know that VS Code added support for the same four-pane view as p4merge years ago? I used p4merge as my merge tool for a long time, but I switched to VS Code when I discovered that, as VS Code’s syntax highlighting and text editing features are much better than p4merge’s.
I also use the merge tool of JetBrains IDEs such as IntelliJ IDEA (https://www.jetbrains.com/help/idea/resolve-conflicts.html#r...) when working in those IDEs. It uses a three-pane view, not a four-pane view, but there is a menu that allows you to easily open a comparison between any two of the four versions of the file in a new window, so I find it similarly efficient.
Thirding it except I do it from Emacs. Three side-by-side pane with left / common ancestor / right and then below the merge result. By default it's not like that but then it's Emacs so anything is doable. I hacked some elisp code a great many years ago and I've been using it ever since.
No matter the tool, merges should always be presented like that. It's the only presentation that makes sense.
I think you need to enable 3 way merge by default in git's configuration, and both smerge (minor mode for solving conflicts) and ediff (major mode that encompass diff and patch) will pick it up. In the case of the latter you will have 4 panes, one for version A, another for version B, a third for the result C, and the last is the common ancestor of A and B.
Addendum:
I've since long disabled it. A and B changes are enough for me, especially as I rebase instead of merging.
You can't use CRDTs for version control, having conflicts is the whole point of version control. Sometimes two developers will make changes that fundamentally tries to change the code in two different ways, a merge conflict then leaves it up to the developer who is merging/rebasing to make a choice about the semantics of the program they want to keep. A CRDT would just produce garbage code, its fundamentally the wrong solution. If you want better developer UX for merge conflicts then there are both a bunch of tooling on top of Git, as well as other version control systems, that try to present it in a better way; but that has very little to do with the underlaying datastructure. The very fact that cherry-picking and reverting becomes difficult with this approach should show you that its the wrong approach! Those are really easy operations to do in Git.
Using CRDTs to calculate the results of a merge does not require being allowed to commit the results of that calculation, and doesn't even require that you be able to physically realize the results in the files in your working copy.
.
Consider for example if you want to track and merge scalar values. Maybe file names if you track renames, maybe file properties if you're not just using a text listing (ie .gitattributes) for that, maybe file content hash to decide whether to actually bother running a line-based merge.
One approach is to use what Wikipedia says is called an OR-set[1], with the restriction that a commit can only have a single unique value; if it was previously in the set then it keeps all the same tags, if it wasn't then it gets a new tag.
That restriction is where the necessity of conflict resolution comes in. It doesn't have to be part of the underlying algorithms, just the interface with the outside world.
Is it a good thing to have merges that never fail? Often a merge failure indicates a semantic conflict, not just "two changes in the same place". You want to be aware of and forced to manually deal with such cases.
I assume the proposed system addresses it somehow but I don't see it in my quick read of this.
They address this; it's not that they don't fail, in practice...
the key insight is that changes should be flagged as conflicting when they touch each other, giving you informative conflict presentation on top of a system which never actually fails.
It says that merges that involve overlap get flagged to the user. I don't think that's much more than a defaults difference to git really. You could have a version of git that just warns on conflict and blindly concats the sides.
I realized recently that I've subconsciously routed-around merge conflicts as much as possible. My process has just subtly altered to make them less likely. To the point of which seeing a 3-way merge feels jarring. It's really only taking on AI tools that bought this to my attention.
I'm surprised to see that some people sync their working tree and does not evaluate their patch again (testing and reviewing the assumptions they have made for their changes).
My understanding of the way this is presented is that merges don't _block_ the workflow. In git, a merge conflict is a failure to merge, but in this idea a merge conflict is still present but the merge still succeeds. You can commit with conflicts unresolved. This allows you to defer conflict resolution to later. I believe jj does this as well?
Technically you could include conflict markers in your commits but I don't think people like that very much
The conflict lines shown in the article are not present in the file, they are a display of what has already been merged. The merge had changes that were too near each other and so the algorithm determined that someone needs to review it, and the conflict lines are the result of displaying the relevant history due to that determination.
In the example in the article, the inserted line from the right change is floating because the function it was in from the left has been deleted. That's the state of the file, it has the line that has been inserted and it does not have the lines that were deleted, it contains both conflicting changes.
So in that example you indeed must resolve it if you want your program to compile, because the changes together produce something that does not function. But there is no state about the conflict being stored in the file.
In this model, conflicts do not exist, so there are no conflict markers (the UI may show markers, but they get generated from what they call “the weave”)
Because of that, I think it is worse than “but it is not valid syntax”; it’s “but it may not be valid syntax”. A merge may create a result that compiles but that neither of the parties involved intended to write.
It allows review of the way the merge conflict has been resolved (assuming those changes a tracked and presented in a useful way). This can be quite helpful when backporting select fixes to older branches.
Should you be counting on confusion of an underpowered text-merge to catch such problems?
It'll fire on merge issues that aren't code problems under a smarter merge, while also missing all the things that merge OK but introduce deeper issues.
Post-merge syntax checks are better for that purpose.
And imminently: agent-based sanity-checks of preserved intent – operating on a logically-whole result file, without merge-tool cruft. Perhaps at higher intensity when line-overlaps – or even more-meaningful hints of cross-purposes – are present.
> It'll fire on merge issues that aren't code problems under a smarter merge, while also missing all the things that merge OK but introduce deeper issues.
That has not been my experience at all. The changes you introduced is your responsibility. If you synchronizes your working tree to the source of truth, you need to evaluate your patch again whether it introduces conflict or not. In this case a conflict is a nice signal to know where someone has interacted with files you've touched and possibly change their semantics. The pros are substantial, and it's quite easy to resolve conflicts that's only due to syntastic changes (whitespace, formatting, equivalent statement,...)
If you're relying on a serialized 'source of truth', against which everyone must independently ensure their changes sanely apply in isolation, the. you've already resigned yourself to a single-threaded process that's slower than what improved merges aim to enable.
Sure, that works – like having one (rare, expensive) savant engineer apply & review everything in a linear canonical order. But that's not as competitive & scalable as flows more tolerant of many independent coders/agents.
Decentralization in this case means one can secede easily from the central authority. So anyone working on a project can easily split away from the main group at any time. But every project have a clear governance where the main direction is set and the canonical version of the thing being under version control is stored.
That canonical version is altered following a process and almost every project agrees that changes should be proposed against it. Even with independent agents, there should be a way to ensure consensus and decides the final version. And that problem is a very hard one.
And yet after all these year of git supporting no source of truth we still fall back on it. As long as you have an authoritative version and authoritative release then you have one source of truth. Linus imagined everyone contributing with no central authority and yet we look to GitHub and Gitlab to centralize our code. Git is already decentralized and generally we find it impractical.
He's not saying you shouldn't have conflicts; just that it's better to have syntax-aware conflict detection. For example if two people add a new function to the end of the same file, Git will always say that's a conflict. A syntax-aware system could say that they don't conflict.
I agree. Nevertheless I wonder if this approach can help with certain other places where Git sometimes struggles, such as whether or not two commits which have identical diffs but different parents should be considered equivalent.
In the general case, such commits cannot be considered the same — consider a commit which flips a boolean that one branch had flipped in another file. But there are common cases where the commits should be considered equivalent, such as many rebased branches. Can the CRDT approach help with e.g. deciding that `git branch -d BRANCH` should succeed when a rebased version of BRANCH has been merged?
The semantic problem with conflicts exists either way. You get a consistent outcome and a slightly better description of the conflict, but in a way that possibly interleaves changes, which I don't think is an improvement at all.
I am completely rebase-pilled. I believe merge commits should be avoided at all costs, every commit should be a fast forward commit, and a unit of work that can be rolled back in isolation. And also all commits should be small. Gitflow is an anti-pattern and should be avoided. Long-running branches are for patch releases, not for feature development.
I don't think this is the future of VCS.
Jujutsu (and Gerrit) solves a real git problem - multiple revisions of a change. That's one that creates pain in git when you have a chain of commits you need to rebase based on feedback.
CRDTs should be able to give you better merge and rebase behaviour. They essentially make rebase and merge commits the same thing - just different views on a commit, and potentially different ways to present the conflict. CRDTs also behave better when commits get merged multiple times in complex graphs - you don’t run into the problem of commits conflicting with themselves.
You should also be able to roll back a single commit or chain of commits in a crdt pretty easily. It’s the same as the undo problem in collaborative editors - you just apply the inverse of the operation right after the change. And this would work with conflicts - say commits X and Y+Z conflict, and you’re in a conflicting state, you could just roll back commit Y which is the problem, while keeping X and Z. And at no point do you need to resolve the conflict first.
All this requires good tooling. But in general, CRDTs can store a superset of the data stored by git. And as a result, they can do all the same things and some new tricks.
In theory, maybe. In practice… last write wins (LWW) is a CFDT operator, so replace every mention of CRDT with LWW and issues will more obvious.
Really though, the problem with merges is not conflicts, it’s when the merged code is wrong but was correct on both sides before the merge. At least a conflict draws your attention.
When I had several large (smart but young) teams merging left and right this would come up and they never checked merged code.
Multiply by x100 for AI slop these days. And I see people merge away when the AI altered tests to suit the broken code.
When you say "unit of work", unit of _which_ work are you referring to? The problem with rebasing is that it takes one set of snapshots and replays them on top of another set, so you end up with two "equivalent" units of work. In fact they're _the same_ indeed -- the tree objects are shared, except that if by "work" you mean changes, Git is going to tell you two different histories, obviously.
This is in contrast with [Pijul](https://pijul.org) where changes are patches and are commutative -- you can apply an entire set and the result is supposed to be equivalent regardless of the order the patches are applied in. Now _that_ is unit of work" I understand can be applied and undone in "isolation".
Everything else is messy, in my eyes, but perhaps it's orderly to other people. I mean it would be nice if a software system defined with code could be expressed with a set of independent patches where each patch is "atomic" and a feature or a fix etc, to the degree it is possible. With Git, that's a near-impossibility _in the graph_ -- sure you can cherry-pick or rebase a set of commits that belong to a feature (normally on a feature branch), but _why_?
By "unit of work", I mean the atomic delta which can, on its own, become part of the deployable state of the software. The thing which has a Change-Id in Gerrit.
The delta is the important thing. Git is deficient in this respect; it doesn't model a delta. Git hashes identify the tip of a tree.
When you rebase, you ought to be rebasing the change, the unit of work, a thing with an identity separate and independent of where it is based from.
And this is something that the jujutsu / Gerrit model fixes.
I used to use rebase much more than merge but have grown to be more nuanced over the years:
Merge commits from main into a feature branch are totally fine and easier to do than rebasing. After your feature branch is complete you can do one final main-to-feature-branch merge and then merge the feature branch into main with a squash commit.
When updating any branch from remote, I always do a pull rebase to avoid merge commits from a simple pull. This works well 99.99% of the time since what I have changed vs what the remote has changed is obvious to me.
When I work on a project with a dev branch I treat feature branches as coming off dev instead of main. In this case I merge dev into feature branches, then merge feature branches into dev via a squash commit, and then merge main into dev and dev into main as the final step. This way I have a few merge commits on dev and main but only when there is something like an emergency fix that happens on main.
The problem with always using a rebase is that you have to reconcile conflicts at every commit along the way instead of just the final result. That can be a lot more work for commits that will never actually be used to run the code and can in fact mess up your history. Think of it like this:
1. You create branch foo off main.
2. You make an emergency commit to main called X.
3. You create commits A, B, and C on foo to do your feature work. The feature is now complete.
4. You rebase foo off main and have to resolve the conflict introduced by X happening before A. Let’s say it conflicts with all three of your commits (A, B, and C).
5. You can now merge foo into main with it being a fast forward commit.
Notice that at no point will you want to run the codebase such that it has commits XA or XAB. You only want to run it as XABC. In fact you won’t even test if your code works in the state XA or XAB so there is little point in having those checkpoints. You care about three states: main before any of this happened since it was deployed like that, main + X since it was deployed like that, and main with XABC since you added a feature. git blame is really the only time you will ever possibly look at commits A and B individually and even then the utility of it is so limited it isn’t worth it.
The reality is that if you only want fast forward commits, chances are you are doing very little to go back and extract code out of old versions a of the codebase. You can tell this by asking yourself: “if I deleted all my git history from main and have just the current state + feature branches off it, will anything bad happen to my production system?” If not, you are not really doing most of what git can do (which is a good thing).
I am now wholly bought into the idea of having a feature branch with (A->B->C) commits is an anti-pattern.
Instead, if the feature doesn't work without the full chain of A+B+C, either the code introduced in A+B is orphaned except by tests and C joins it in; or (and preferably for a feature of any significance), A introduces a feature flag which disables it, and a subsequent commit D removes the feature flag, after it is turned on at a time separate to merge and deploy.
I treat each feature branch as my own personal playground. There should be zero reason for anyone to ever look at it. Sometimes they aren’t even pushed upstream. Otherwise, just work on main with linear history and feature flags and avoid all this complexity that way.
Just like you don’t expect someone else’s local codebase to always be in a fully working state since they are actively working on it, why do you expect their working branch to be in a working state?
I think you're somewhat missing the point - if the code from A and B only works if joined with C, then you should squash them all into one commit so that they can't be separated. If you do that then the problem you're describing goes away since you'll only be rebasing a single commit anyway.
Whether this is valuable is up to you, but IMO I'd say it's better practice than not. People do dumb things with the history and it's harder to do dumb things if the commits are self-contained. Additionally if a feature branch includes multiple commits + merges I'd much rather they squash that into a single commit (or a couple logical commits) instead of keeping what's likely a mess of a history anyway.
That is literally what I advocate you do for the main branch. A feature branch is allowed to have WIP commits that make sense for the developer working on the branch just like uncommitted code might not be self contained because it is WIP. Once the feature is complete, squash it into one commit and merge it into main. There is very little value to those WIP commits (rare case being when you implement algorithm X but then change to Y and later want to experiment with X again).
One downside of squash merging is that when you need to split your work across branches, so that they're different PRs, but one depends on the other, then you have to do a rebase after every single one which had dependencies is merged.
People see that CRDTs have no conflicts and proclaim them as the solution to all problems, not seeing that some problems inherently have conflicts and either can't be represented by CRDTs at all, or that the use of CRDTs resolves conflicts in a way that's worse than if you actually thought about conflict resolution. E.g. that multiplayer text editor that interleaved characters from simultaneous edits.
This is sort of a revival and elaboration of some of Bram’s ideas from Codeville, an earlier effort that dates back to the early 2000s Cambrian explosion of DVCS.
Codeville also used a weave for storage and merge, a concept that originated with SCCS (and thence into Teamware and BitKeeper).
Codeville predates the introduction of CRDTs by almost a decade, and at least on the face of it the two concepts seem like a natural fit.
It was always kind of difficult to argue that weaves produced unambiguously better merge results (and more limited conflicts) than the more heuristically driven approaches of git, Mercurial, et al, because the edit histories required to produce test cases were difficult (at least for me) to reason about.
I like that Bram hasn’t let go of the problem, and is still trying out new ideas in the space.
In 2007 Bram said to me that my Causal Tree algorithm is a variant of weave. Which is broadly correct. In these 20 years, the family of weave-class algos grew quite big. In my 2020 article, I devoted the intro to making their family portrait https://arxiv.org/abs/2002.09511 Could have been a separate article.
Note that CRDT isn't "a thing". The CRDT paper provides a way to think about and analyze eventually consistent replication mechanisms. So CRDTs weren't "introduced", only the "CRDT way of discussing replication". Every concrete mechanism described in the CRDT paper is very old, widely used for decades beforehand.
This means that everything that implements eventual consistency (including Git) is using "a CRDT".
While this is technically correct, folks discussing CRDTs in the context of text editing are typically thinking of a fairly specific family of algorithms, in which each character (or line) is assigned an immutable ID drawn from some abstract total order. That is the sense in which the original post uses the term (without mentioning a specific total order).
If you stretch "CRDT" to mean any old eventually consistent thing, almost every Unix tool morphs into one under a loose enough definition. That makes the term much less useful, because practical CRDTs in 2024 usually mean opaque merge semantics, awkward failure modes, and operational complexity that has very little in common with the ancient algorithms people point at when they say "Git is a CRDT too". "Just Git" is doing a lot of work there.
I have a weird hobby: about once a year I go to the theory page [0] in pijul manual and see if they have fixed the TeX formatting yet.
You would think that if a better, more sound model of storing patches is your whole selling point, you would want to make as easy as possible for people who are interested in the project to actually understand it. It is really weird not to care about the first impression that your manual makes on a curious reader.
Currently, I'm about 6 years into the experiment.
Approximately 2 years in (about 4 years ago), I've actually went to the Pijul Nest and reported [1] the issue. I got an explanation on fixing this issue locally, but weirly enough, the fix still wasn't actually implemented on the public version.
I'll report back in about a year with an update on the experiment.
I'm surprised! Pijul has been discussed here on HN many, many times. My impression is that many people here were hoping that Pijul might eventually become a serious Git contender but these days people seem to be more excited about Jujutsu, likely because migration is much easier.
From time to time, I do a 'pijul pull -a' into the pijul source tree, and I get a conflict (no local work on my part). Is there a way to do a tracking update pull? I didn't see one, so I toss the repo and reclone. What works for you in tracking what's going on there?
This thing is really short. https://github.com/bramcohen/manyana/blob/main/manyana.py is 473 lines of dependency-free Python (that file only imports difflib, itertools and inspect) and of that ~240 lines are implementation and the rest are tests.
The joke is there in the name. It is wrong (on purpose): it should be "Mañana". That term means "tomorrow" in your Spanish class, but it can mean "later/future/morning" or even "later this afternoon".
In English, you might think of "procrastination" or "we'll get to it."
In Portuguese, you would say "proxima semana", literally "next week", but it means "we'll get to it" (won't get to it).
It's really impressive what can be done in a few hundred lines of well-thought-out Python without resorting to brutal hacks. People complain about left-pad incidents etc. in the JS world but I honestly feel like the Python ecosystem could do with more, smaller packages on balance. They just have to be put forward by responsible people who aren't trying to make a point or inflate artificial metrics.
I bet you can make a small, beautiful implementation of this algorithm in most languages. Most algorithms - even ones that take generations of researchers to figure out - end up tiny in practice if you put the work in to understand them properly and program them in a beautiful way. Transformers are the same. Genius idea. But a very small amount of code to implement.
This is an implementation of FugueMax (Weidner and Kleppmann) done using a bunch of tricks from Yjs (Jahns). There’s generations of ideas here, by lots of incredibly smart people. And it turns out you can code the whole thing up in 250 lines of readable typescript. Again with no dependencies.
I think something like this needs to be born out of analysis of gradations of scales of teams using version control systems.
- What kind of problems do 1 person, 10 person, 100 person, 1k (etc) teams really run into with managing merge conflicts?
- What do teams of 1, 10, 100, 1k, etc care the most about?
- How does the modern "agent explosion" potentially affect this?
For example, my experience working in the 1-100 regime tells me that, for the most part, the kind of merge conflict being presented here is resolved by assigning subtrees of code to specific teams. For the large part, merge conflicts don't happen, because teams coordinate (in sprints) to make orthogonal changes, and long-running stale branches are discouraged.
However, if we start to mix in agents, a 100 person team could quickly jump into a 1000 person team, esp if each person is using subagents making micro commits.
It's an interesting idea definitely, but without real-world data, it kind of feels like this is just delivering a solution without a clear problem to assign it to. Like, yes merge-conflicts are a bummer, but they happen infrequently enough that it doesn't break your heart.
> How does the modern "agent explosion" potentially affect this?
This changes everything. Agents don't really care what versioning software is used. They can probably figure out whatever you are using. But they'll likely assume it's something standard (i.e. Git) so the easiest is to not get too adventurous. Also, the reasons to use something else mostly boil down to user friendliness and new merge strategies. However, lately I just tell codex to pull and deal with merge conflicts. It's not something I have to do manually anymore. That removes a key reason for me to be experimenting with alternative version control systems. It's not that big of a problem anymore.
Git was actually designed for massive teams (the Linux kernel) but you have to be a bit disciplined using it in a way that many users in smaller teams just aren't. With agentic coding tools, you can just codify what you want to happen in guardrails and skills. Including how to deal with version control and what process to follow.
Where more advanced merge strategies could be helpful is the type of large scale refactoring that are now much easier with agentic coding tools. But doing that in repositories with lots of developers working on other changes is not something that should happen very often. And certainly not without a lot of planning and coordination probably.
Team scale doesn't tend to impact this that much, since as teams grow they naturally specialize in parts of the codebase. Shared libs can be hotspots, I've heard horror stories at large orgs about this sort of thing, though usually those shared libs have strong gatekeeping that makes the problem more one of functionality living where it shouldn't to avoid gatekeeping than a shared lib blowing up due to bad change set merges.
My advice to young developers is always to spend some extra time to learn the details of Git, because it is the technology that has the highest chance to be around for a few more decades. VCS used to suck really hard, and everyone was hoping for a "bearable" solution. Git finally provided this, and it has been "good enough" since then. The entire developer world is now relying on it, so I just do not see the slightest chance that it will be replaced, because the hurdle is just too high and the suffering not enough. I still hope though that a git compatible, slightly more approachable VCS like Jujutsu will become the standard, but even then your Git knowledge will not be wasted.
What CRDT's solve is conflicts at the system level. Not at the semantic level. 2 or more engineers setting a var to a different value cannot be handled by a CRDT.
Engineer A intended value = 1
Engineer B intended value = 2
CRDT picks 2
The outcome could be semantically wrong. It doesn't reflect the intent.
I think the primary issue with git and every other version control is the terrible names for everything. pull, push, merge, fast forward, stash, squash, rebase, theirs, ours, origin, upstream and that's just a subset. And the GUI's. They're all very confusing even to engineers who have been doing this for a decade. On top of this, conflict resolution is confusing because you don't have any prior warnings.
It would be incredibly useful if before you were about to edit a file, the version control system would warn you that someone else has made changes to it already or are actively working on it. In large teams, this sort of automation would reduce conflicts, as long as humans agree to not touch the same file. This would also reduce the amount of quality regressions that result from bad conflict resolutions.
Shameless self plug: I am trying to solve both issues with a simpler UI around git that automates some of this and it's free. https://www.satishmaha.com/BetterGit
The crdt library knows that value is in conflict, and it decides what to do about it. Most CRDTs are built for realtime collab editing, where picking an answer is an acceptable choice. But the crdt can instead add conflict marks and make the user decide.
Conflicts are harder for a crdt library to deal with - because you need to keep merging and growing a conflict range. And do that in a way that converges no matter the order of operations you visit. But it’s a very tractable problem - someone’s just gotta figure out the semantics of conflicts in a consistent way and code it up. And put a decent UI on top.
For that you need a very centralized VCS, not a decentralized one. Perforce allows you to lock a file so everybody else cannot make edits to it. If they implemented more fine-grained locking within files, or added warnings to other users trying to check them out for edits, they'd be just where you want a VCS to be.
How, or better yet, why would Git warn you about a potential conflict beforehand, when the use case is that everyone has a local clone of the repo and might be driving it towards different directions? You are just supposed to pull commits from someone's local branch or push towards one, hence the wording. The fact that it makes sense to cooperate and work on the same direction, to avoid friction and pain, is just a natural accident that grows from the humans using it, but is not something ingrained in the design of the tool.
We're collectively just using Git for the silliest and simplest subset of its possibilities -a VCS with a central source of truth-, while bearing the burden of complexity that comes with a tool designed for distributed workloads.
I haven't used them, but doesn't SVN or Mercurial do something like this? It blocks people from working on a file by locking them, the problem is that in large teams there are legitimate reasons for multiple people to be working on the same files, especially something like a large i18n file or whatever.
> It would be incredibly useful if before you were about to edit a file, the version control system would warn you that someone else has made changes to it already or are actively working on it. In large teams, this sort of automation would reduce conflicts, as long as humans agree to not touch the same file. This would also reduce the amount of quality regressions that result from bad conflict resolutions.
Bringing me back to my VSS days (and I'd much rather you didn't)
well, the mismatch here is widened by the fact that almost everyone it seems uses git with a central, prominent, visible, remote repository. Where as git was developed with the a true distributed vision. Now sure that truely distributed thing only becomes final when it reaches some 'central' repo, but it's quite a big different than we all do.
I'm confused about what this solves. They give the example of someone editing a function and someone deleting the same function and claim that the merge never fails and then go on to demonstrate that indeed rightly the merges still fails. There are still merge markers in the sources. What is the improvement exactly?
Yeah, the author fails to present his case even in the intro
> A CRDT merge always succeeds by definition, so there are no conflicts in the traditional sense — the key insight is that changes should be flagged as conflicting when they touch each other, giving you informative conflict presentation on top of a system which never actually fails. This project works that out.
It has clear contradiction.
Crdt always succeed by definition, no conflicts in traditional sense so (rephrasing) conflicting changes are marked as conflicted. Emm, like in any other source control?
In fact, after rereading that intro while writing that answer I start suspect at least smell of an ai writing.
The benefit of using a crdt for this is that you can get better merge semantics. Rebase and merge become the same thing. Commits can’t somehow conflict with themselves. You can have the system handle 2 non conflicting changes on the same line of code if you want. You can keep the system in a conflict state and add more changes if you want to. Or undo just a single commit from a long time ago. And you can put non text data in an crdt and have all the same merge and branching functionality.
Disagree. We all are — or should be — Linux kernel developers. What's more, we should align to a specific and singular VCS worldview informed by BitKeeper, which no longer exists, whether or not we used it. Therefore Git. Thank you for your attention to this matter!
Interesting idea. While conflicts can be improved, I personally don't see it as a critical challenge with VCS.
What I do think is the critical challenge (particularly with Git) is scalability.
Size of repository & rate of change of repositories are starting to push limits of git, and I think this needs revisited across the server, client & wire protocols.
What exactly, I don't know. :). But I do know that in my current role (mid-size well-known tech company) is hitting these limits today.
Bram Cohen is awesome, but this feels a little bare. I've put much more thought into version control ([1]), including the use of CRDTs (search for "# History Model" and read through the "Implementing CRDTs" section).
That's worth making a separate post! (and I recommend rendering it to HTML)
But "bare" is part of the value of Cohen's post, I think. When you want to publicize a paradigm shift, it helps to make it in small, digestible chunks.
This is cool and i keep thinking about CRDTs as a baseline for version control, but CRDTs has some major issues, mainly the fact that most of them are strict and "magic" in the way they actually converge(like the joke: CRDTs always converge, but to what).
i didn't read if he's using some special CRDT that might solve for that, but i think that for agentic work especially this is very interesting
This seems like an excellent idea. I'm sure a lot of us have been idly wondering why CRDTs aren't used for VCS for some time, so it's really cool to see someone take a stab at it! We really do need an improvement over git; the question is how to overcome network effects.
This is actually a very interesting moment to potentially overcome network effects, because more and more code is going to be written by agents. If a crdt approach is measurably better for merging by agent swarms then there is incentive to make the switch. It also much easier to get an agent to change its workflow than a human. The only tricky part is how much git usage is in the training set so some careful thought would need to be given to create a compatibility layer in the tooling to help agents along.
Overcoming network effects cannot be the goal; otherwise, work will never get done.
The goal should be to build a full spec and then build a code forge and ecosystem around this. If it’s truly great, adoption will come. Microsoft doing a terrible job with GitHub is great for new solutions.
Well over half of all people can’t tell you the difference between git and Github. The latter being owned by a corporation that needs the network effect to keep existing.
starts with “based on the fundamentally sound approach of using CRDTs for version control”. How on earth is crdt a sound base for a version control system? This makes no sense fundamentally, you need to reach a consistent state that is what you intended not what some crdt decided and jj shows you can do that also without blocking on merges but with first level conflicts that need to be resolved. ai and language aware merge drivers are helping so much here i really wonder if the world these “replace version control” projects were made for still exists at all.
> ai and language aware merge drivers are helping so much here i really wonder if the world these “replace version control” projects were made for still exists at all.
I really wonder what kinds of magical AI you're using, because in my experience, Claude Code chokes and chokes hard on complex rebases/merge conflicts to the point that I couldn't trust it anymore.
But the presentation does not show how it resolves conflicts. For the first example, Git has the 3 way-merge that shows the same kind of info. And a conflict is not only to show that two people have worked on a file. More often than not, it highlight a semantic changes that happened differently in two instances and it's a nice signal to pay attention to this area. But a lot of people takes merge conflicts as some kind of nuisance that prevents them from doing their job (more often due to the opinion that their version is the only good one).
See vim-mergetool[1]. I use it to manage merge conflicts and it's quite intuitive. I've resolved conflicts that other people didn't even want to touch.
I recently found a project called sem[1] that does git diffs but is aware of the language itself, giving feedback like "function validateToken added", "variable xyzzy removed", ...
i think that's where version control is going. especially useful with agents and CI
You can think of the semantics (i.e., specification) of any CRDT as a function that inputs the operation history DAG and outputs the resulting user-facing state. However, algorithms and implementations usually have a more programmatic description, like "here is a function `(internal state, new operation) -> new internal state`", both for efficiency (update speed; storing less info than the full history) and because DAGs are hard to reason about. But you do see the function-of-history approach in the paper "Pure Operation-Based Replicated Data Types" [1].
There are many ways to instantiate a CRDT, and a trivial one would be "last write wins" over the whole source tree state. LWW is obviously not what you'd want for source version control. It is "correct" per its own definition, but it is not useful.
Anyone saying "CRDTs solve this" without elaborating on the specifics of their CRDT is not saying very much at all.
I think there are still strong advantages to the centralized locking style of collaboration. The challenge is that it seems to work best in a setting where everyone is in the same physical location while they are working. You can break a lock in 30 seconds with your voice. Locking across time zones and date lines is a nonstarter by comparison.
I don't quite understand how CRDTs should help with merges. The difficult thing about merges is not that two changes touch the same part of the code; the difficult thing is that two changes can touch different parts of the code and still break each other - right?
Eh. It's a matter of visible pain vs invisible pain.
Developers are quite familiar with Merge Conflicts and the confusing UI that git (and SVN before it, in my experience) gives you about them. The "ours vs theirs" nomenclature which doesn't help, etc. This is something that VCSs can improve on, QED this post.
Vs the scenario you're describing (what I call Logical Conflicts), where two changes touching different parts of the code (so it doesn't emerge as a Merge Conflict) but still breaking each other. Like one change adding a function call in one file but another change changing the API in a different file.
These are painful in a different way, and not something that a simple text-based version control (which is all of the big ones) can even see.
doesn't the side by side view in github diff solve this?
conflict free merging sounds cool, but doesn't that just mean that that a human review step is replaced by "changes become intervals rather than collections of lines" and "last set of intervals always wins"? seems like it makes sense when the conflicts are resolved instantaneously during live editing but does it still make sense with one shot code merges over long intervals of time? today's systems are "get the patch right" and then "get the merge right"... can automatic intervalization be trusted?
edit: actually really interesting if you think about it. crdts have been proven with character at a time edits and use of the mouse select tool.... these are inherently intervalized (select) or easy (character at a time). how does it work for larger patches can have loads of small edits?
My issue with git is handling non-text files, which is a common issue with game development. git-lfs is okay but it has some tricky quirks, and you end up with lots of bloat, and you can't merge. I don't really have an answer to how to improve it, but it would be nice if there was some innovation in that area too.
Improving on "git not handling non-text files" is a semantic understanding aka parse step in between the file write.
Take a docx, write the file, parse it into entities e.g. paragraph, table, etc. and track changes on those entities instead of the binary blob. You can apply the same logic to files used in game development.
The hard part is making this fast enough. But I am working on this with lix [0].
Totally agree. After trying to flesh out Unreal's git plugin, it really shows how far from ideal git really is.
Partial checkouts are awkward at best, LFS locks are somehow still buggy and the CLI doesn't support batched updates. Checking the status of a remote branch vs your local (to prevent conflicts) is at best a naive polling.
Better rebase would be a nice to have but there's still so much left to improve for trunk based dev.
Has there ever been a consideration for the git file format to allow storage of binary blobs uncompressed?
When I was screwing around with the Git file format, tricks I would use to save space like hard-linking or memory-mapping couldn't work, because data is always stored compressed after a header.
A general copy-on-write approach to save checkout space is presumably impossible, but I wonder what other people have traveled down similar paths have concluded.
What strategies would you like to use to diff the binaries? Or else how are you going to avoid bloat?
Is it actually okay to try to merge changes to binaries? If two people modify, say, different regions of an image file (even in PNG or another lossless compression format), the sum of the visual changes isn't necessarily equal to the sum of the byte-level changes.
I really think something like Xet is a better idea to augment Git than LFS, though it seems to pretty much only be used by HuggingFace for ML model storage, and I think their git plugin was deprecated? Too bad if it ends up only serving the HuggingFace niche.
Jujutsu honestly is the future IMO, it already does what you have outlined but solved in a different way with merges, it'll let you merge but outline you have conflicts that need to be resolved for instance.
It's been amazing watching it grow over the last few years.
You can be messy. The lack of an explicit staging area doesn't restrict that. `jj commit` gives the same mental model for "I want to commit 2 files from the 5 I've changed".
But you do have the op log, giving you a full copy of the log (incl. the contents of the workspace) at every operation, so you can get out of such mistakes with some finagling.
You can choose to have a workflow where you're never directly editing any commit to "gain back autonomy" of the working copy; and if you really want to, with some scripting, you can even emulate a staging area with a specially-formatted commit below the working copy commit.
A suggestion : is there any info to provide in diffs that is faster to parse than "left" and "right" ? Can the system have enough data to print "bob@foo.bar changed this" ?
This is a really interesting and well thought out idea, especially the way it turns conflicts into something informative instead of blocking. The improved conflict display alone makes it much easier to understand what actually happened. I think using CRDTs to guarantee merges always succeed while still keeping useful history feels like a strong direction for version control. Looks like a solid concept!
It sounds interesting but the main selling point doesn’t really reasonate:
If you haven’t resolved conflicts then it probably doesn’t compile and of course tests won’t pass, so I don’t see any point in publishing that change? Maybe the commit is useful as a temporary state locally, but that seems of limited use?
Nowadays I’d ask a coding agent to figure out how to rebase a local branch to the latest published version before sending a pull request.
This is a reasonable reaction — pretty sure I felt the same way when I heard about jujutsu's first-class conflicts[0] — but it turns out to be really useful not to be stuck inside an aberrant state while conflicts are in the process of being resolved.
In case the name doesn't jump out at you, this is Bram Cohen, inventory of Bittorrent. And Chia proof-of-storage (probably better descriptions available) cryptocurrency. https://en.wikipedia.org/wiki/Bram_Cohen
It's not the same as capturing it, but I would also note that there are a wide wide variety of ways to get 3-way merges / 3 way diffs from git too. One semi-recent submission (2022 discussing a 2017) discussed diff3 and has some excellent comments (https://news.ycombinator.com/item?id=31075608), including a fantastic incredibly wide ranging round up of merge tools (https://www.eseth.org/2020/mergetools.html).
Do I have it right that it’s basically timestamp based, except not based on our clocks but one it manages itself?
So as long as all updates have been sent to the server from all clients, it will know what “time” each character changed and be able to merge automatically.
Can we stop using line-oriented diffs in favor of AST-oriented diffs?
Is it just lack of tooling, or is there something fundamentally better about line-oriented diffs that I’m missing? For the purpose of this question I’m considering line-oriented as a special case of AST-oriented where the AST is a list of lines (anticipating the response of how not all changes are syntactically meaningful or correct).
Outside of the merit of the idea itself, I thought I was going to look at a repository at least as complete as Linus when he released git after 3 weeks, especially with the tooling we had today.
Slightly disappointed to see that it is a 470 line python file being touted as "future of version control". Plenty of things are good enough in 470 lines of python, even a merge conflict resolver on top of git - but it looks like it didn't want anything to do with git.
Prototyping is almost free these days, so not sure why we only have the barest of POC here.
Nobody should have these types of problems in the age of AI agents. This kind of clean up and grunt work is perfect for AI agents. We don’t need new abstractions.
I remember I met Bram Cohen (of Bittorent fame!) around 15 years ago. Around that time is when I had started building web-based distributed collaborative systems, starting with Qbix.com and then spun off a company to build blockchain-based smart contracts through Intercoin.org etc.
Anyway, I wanted to suggest a radical idea based on my experience:
Merges are the wrong primitive.
What organizations (whethr centralized or distributed projects) might actually need is:
1) Graph Database - of Streams and Relations
2) Governance per Stream - eg ACLs
A code base should be automatically turned into a graph database (functions calling other functions, accessing configs etc) so we know exactly what affects what.
The concept of what is “too near” each other mentioned in the article is not necessarily what leads to conflicts. Conflicts actually happen due to conflicting graph topology and propagating changes.
People should be able to clone some stream (with permission) and each stream (node in the graph) can be versioned.
Forking should happen into workspaces. Workspaces can be GOVERNED. Publishing some version of a stream just means relating it to your stream. Some people might publish one version, others another.
Rebasing is a first-class primitive, rather than a form of merging. A merge is an extremely privileged operation from a governance point of view, where some actor can just “push” (or “merge”) thousands of commits. The more commits, the more chance of conflicts.
The same problem occurs with CRDTs. I like CRDTs, but reconciling a big netsplit will result in merging strategies that create lots of unintended semantic side effects.
Instead, what if each individual stream was guarded by policies, there was a rate limit of changes, and people / AIs rejected most proposals. But occasionally they allow it with M of N sign offs.
Think of chatgpt chats that are used to modify evolving artifacts. People and bots working together. The artifacts are streams. And yes, this can even be done for codebases. It isnt about how “near” things are in a file. Rather it is about whether there is a conflict on a graph. When I modify a specific function or variable, the system knows all of its callers downstream. This is true for many other things besides coding too. We can also have AI workflows running 24/7 to try out experiments as a swarm in sandboxes, generate tests and commit the results that pass. But ultimately, each organization determines whether they want to rebase their stream relations to the next version of something or not.
PS: if anyone is interested in this kind of stuff, feel free to schedule a calendly meeting w me on that site. I just got started recently, but I’m dogfooding my own setup and using AI swarms which accelerates the work tremendously.
Something like base, that is "common base", looks far more apt to my mind. In the same vein, endogenous/exogenous would be far more precise, or at least aligned with the concern at stake. Maybe "local/alien" might be a less pompous vocabulary to convey the same idea.
Why not show the names of the branch + short Id (and when is not direct name, at least "this is from NAME")
ours means what is in my local codebase.
theirs means what is being merged into my local codebase.
I find it best to avoid merge conflicts than to try to resolve them. Strategies that keep branches short lived and frequently merging main into them helps a lot.
What if I'm rebasing a branch onto another? Is "ours" the branch being rebased, or the other one? Or if I'm applying a stash?
Just checkout the branch you are merging/rebasing into before doing it.
> Or if I'm applying a stash?
The stash is in that case effectively a remote branch you are merging into your local codebase. ours is your local, theirs is the stash.
As a bonus I can then also merge the feature branch into main as a squash commit, ditching the history of a feature branch for one large commit that implements the feature. There is no point in having half implemented and/or buggy commits from the feature branch clogging up my main history. Nobody should ever need to revert main to that state and if I really really need to look at that particular code commit I can still find it in the feature branch history.
i have a branch and i want to merge that branch into main.
is ours the branch and main theirs? or is ours main, and the branch theirs?
Not a problem if you are a purist on linear history.
I suspect that this could be because the rebase command is implemented as a serie of merges/cherry-picks from the target branch.
But "ours"/"theirs" still keeps tripping me up.
That answer is "It depends on the context"
> The reason the "ours" and "theirs" notions get swapped around during rebase is that rebase works by doing a series of cherry-picks, into an anonymous branch (detached HEAD mode). The target branch is the anonymous branch, and the merge-from branch is your original (pre-rebase) branch: so "--ours" means the anonymous one rebase is building while "--theirs" means "our branch being rebased".[0]
[0] https://stackoverflow.com/questions/25576415/what-is-the-pre...
What you really need is the ability to diff the base and "ours" or "theirs". I've found most different UIs can't do this. VSCode can, but it's difficult to get to.
I haven't tried p4merge though - if it can do that I'm sold!
For some reason, when it comes to this subject, most people don't think about the problem as much as they think they've thought about it.
I recently listened to an episode on a well-liked and respected podcast featuring a guest there to talk about version control systems—including their own new one they were there to promote—and what factors make their industry different from other subfields of software development, and why a new approach to version control was needed. They came across as thoughtful but exasperated with the status quo and brought up issues worthy of consideration while mostly sticking to high-level claims. But after something like a half hour or 45 minutes into the episode, as they were preparing to descend from the high level and get into the nitty gritty of their new VCS, they made an offhand comment contrasting its abilities with Git's, referencing Git's approach/design wrt how it "stores diffs" between revisions of a file. I was bowled over.
For someone to be in that position and not have done even a cursory amount of research before embarking on a months (years) long project to design, implement, and then go on the talk circuit to present their VCS really highlighted that the familiar strain of NIH is still alive, even in the current era where it's become a norm for people to be downright resistant to writing a couple dozen lines of code themselves if there is no existing package to import from NPM/Cargo/PyPI/whatever that purports to solve the problem.
Perhaps the value of doing it on SCM level is that it can remember what you did. Git has some not-so-nice edge cases.
I also use the merge tool of JetBrains IDEs such as IntelliJ IDEA (https://www.jetbrains.com/help/idea/resolve-conflicts.html#r...) when working in those IDEs. It uses a three-pane view, not a four-pane view, but there is a menu that allows you to easily open a comparison between any two of the four versions of the file in a new window, so I find it similarly efficient.
No matter the tool, merges should always be presented like that. It's the only presentation that makes sense.
Addendum: I've since long disabled it. A and B changes are enough for me, especially as I rebase instead of merging.
You misunderstand what is being proposed.
Using CRDTs to calculate the results of a merge does not require being allowed to commit the results of that calculation, and doesn't even require that you be able to physically realize the results in the files in your working copy.
.
Consider for example if you want to track and merge scalar values. Maybe file names if you track renames, maybe file properties if you're not just using a text listing (ie .gitattributes) for that, maybe file content hash to decide whether to actually bother running a line-based merge.
One approach is to use what Wikipedia says is called an OR-set[1], with the restriction that a commit can only have a single unique value; if it was previously in the set then it keeps all the same tags, if it wasn't then it gets a new tag.
That restriction is where the necessity of conflict resolution comes in. It doesn't have to be part of the underlying algorithms, just the interface with the outside world.
[1] https://en.wikipedia.org/wiki/Conflict-free_replicated_data_...
I assume the proposed system addresses it somehow but I don't see it in my quick read of this.
the key insight is that changes should be flagged as conflicting when they touch each other, giving you informative conflict presentation on top of a system which never actually fails.
The big red block seems the same as "flagged", unless I'm misunderstanding something
FWIW I've struggled to get AI tools to handle merge conflicts well (especially rebase) for the same underlying reason.
I realized recently that I've subconsciously routed-around merge conflicts as much as possible. My process has just subtly altered to make them less likely. To the point of which seeing a 3-way merge feels jarring. It's really only taking on AI tools that bought this to my attention.
Technically you could include conflict markers in your commits but I don't think people like that very much
True but it is not valid syntax. Like, you mean with the conflict lines?
In the example in the article, the inserted line from the right change is floating because the function it was in from the left has been deleted. That's the state of the file, it has the line that has been inserted and it does not have the lines that were deleted, it contains both conflicting changes.
So in that example you indeed must resolve it if you want your program to compile, because the changes together produce something that does not function. But there is no state about the conflict being stored in the file.
Because of that, I think it is worse than “but it is not valid syntax”; it’s “but it may not be valid syntax”. A merge may create a result that compiles but that neither of the parties involved intended to write.
It'll fire on merge issues that aren't code problems under a smarter merge, while also missing all the things that merge OK but introduce deeper issues.
Post-merge syntax checks are better for that purpose.
And imminently: agent-based sanity-checks of preserved intent – operating on a logically-whole result file, without merge-tool cruft. Perhaps at higher intensity when line-overlaps – or even more-meaningful hints of cross-purposes – are present.
That has not been my experience at all. The changes you introduced is your responsibility. If you synchronizes your working tree to the source of truth, you need to evaluate your patch again whether it introduces conflict or not. In this case a conflict is a nice signal to know where someone has interacted with files you've touched and possibly change their semantics. The pros are substantial, and it's quite easy to resolve conflicts that's only due to syntastic changes (whitespace, formatting, equivalent statement,...)
Sure, that works – like having one (rare, expensive) savant engineer apply & review everything in a linear canonical order. But that's not as competitive & scalable as flows more tolerant of many independent coders/agents.
That canonical version is altered following a process and almost every project agrees that changes should be proposed against it. Even with independent agents, there should be a way to ensure consensus and decides the final version. And that problem is a very hard one.
In the general case, such commits cannot be considered the same — consider a commit which flips a boolean that one branch had flipped in another file. But there are common cases where the commits should be considered equivalent, such as many rebased branches. Can the CRDT approach help with e.g. deciding that `git branch -d BRANCH` should succeed when a rebased version of BRANCH has been merged?
The semantic problem with conflicts exists either way. You get a consistent outcome and a slightly better description of the conflict, but in a way that possibly interleaves changes, which I don't think is an improvement at all.
I am completely rebase-pilled. I believe merge commits should be avoided at all costs, every commit should be a fast forward commit, and a unit of work that can be rolled back in isolation. And also all commits should be small. Gitflow is an anti-pattern and should be avoided. Long-running branches are for patch releases, not for feature development.
I don't think this is the future of VCS.
Jujutsu (and Gerrit) solves a real git problem - multiple revisions of a change. That's one that creates pain in git when you have a chain of commits you need to rebase based on feedback.
You should also be able to roll back a single commit or chain of commits in a crdt pretty easily. It’s the same as the undo problem in collaborative editors - you just apply the inverse of the operation right after the change. And this would work with conflicts - say commits X and Y+Z conflict, and you’re in a conflicting state, you could just roll back commit Y which is the problem, while keeping X and Z. And at no point do you need to resolve the conflict first.
All this requires good tooling. But in general, CRDTs can store a superset of the data stored by git. And as a result, they can do all the same things and some new tricks.
Really though, the problem with merges is not conflicts, it’s when the merged code is wrong but was correct on both sides before the merge. At least a conflict draws your attention.
When I had several large (smart but young) teams merging left and right this would come up and they never checked merged code.
Multiply by x100 for AI slop these days. And I see people merge away when the AI altered tests to suit the broken code.
This is in contrast with [Pijul](https://pijul.org) where changes are patches and are commutative -- you can apply an entire set and the result is supposed to be equivalent regardless of the order the patches are applied in. Now _that_ is unit of work" I understand can be applied and undone in "isolation".
Everything else is messy, in my eyes, but perhaps it's orderly to other people. I mean it would be nice if a software system defined with code could be expressed with a set of independent patches where each patch is "atomic" and a feature or a fix etc, to the degree it is possible. With Git, that's a near-impossibility _in the graph_ -- sure you can cherry-pick or rebase a set of commits that belong to a feature (normally on a feature branch), but _why_?
The delta is the important thing. Git is deficient in this respect; it doesn't model a delta. Git hashes identify the tip of a tree.
When you rebase, you ought to be rebasing the change, the unit of work, a thing with an identity separate and independent of where it is based from.
And this is something that the jujutsu / Gerrit model fixes.
Merge commits from main into a feature branch are totally fine and easier to do than rebasing. After your feature branch is complete you can do one final main-to-feature-branch merge and then merge the feature branch into main with a squash commit.
When updating any branch from remote, I always do a pull rebase to avoid merge commits from a simple pull. This works well 99.99% of the time since what I have changed vs what the remote has changed is obvious to me.
When I work on a project with a dev branch I treat feature branches as coming off dev instead of main. In this case I merge dev into feature branches, then merge feature branches into dev via a squash commit, and then merge main into dev and dev into main as the final step. This way I have a few merge commits on dev and main but only when there is something like an emergency fix that happens on main.
The problem with always using a rebase is that you have to reconcile conflicts at every commit along the way instead of just the final result. That can be a lot more work for commits that will never actually be used to run the code and can in fact mess up your history. Think of it like this:
1. You create branch foo off main.
2. You make an emergency commit to main called X.
3. You create commits A, B, and C on foo to do your feature work. The feature is now complete.
4. You rebase foo off main and have to resolve the conflict introduced by X happening before A. Let’s say it conflicts with all three of your commits (A, B, and C).
5. You can now merge foo into main with it being a fast forward commit.
Notice that at no point will you want to run the codebase such that it has commits XA or XAB. You only want to run it as XABC. In fact you won’t even test if your code works in the state XA or XAB so there is little point in having those checkpoints. You care about three states: main before any of this happened since it was deployed like that, main + X since it was deployed like that, and main with XABC since you added a feature. git blame is really the only time you will ever possibly look at commits A and B individually and even then the utility of it is so limited it isn’t worth it.
The reality is that if you only want fast forward commits, chances are you are doing very little to go back and extract code out of old versions a of the codebase. You can tell this by asking yourself: “if I deleted all my git history from main and have just the current state + feature branches off it, will anything bad happen to my production system?” If not, you are not really doing most of what git can do (which is a good thing).
Instead, if the feature doesn't work without the full chain of A+B+C, either the code introduced in A+B is orphaned except by tests and C joins it in; or (and preferably for a feature of any significance), A introduces a feature flag which disables it, and a subsequent commit D removes the feature flag, after it is turned on at a time separate to merge and deploy.
Just like you don’t expect someone else’s local codebase to always be in a fully working state since they are actively working on it, why do you expect their working branch to be in a working state?
Whether this is valuable is up to you, but IMO I'd say it's better practice than not. People do dumb things with the history and it's harder to do dumb things if the commits are self-contained. Additionally if a feature branch includes multiple commits + merges I'd much rather they squash that into a single commit (or a couple logical commits) instead of keeping what's likely a mess of a history anyway.
Codeville also used a weave for storage and merge, a concept that originated with SCCS (and thence into Teamware and BitKeeper).
Codeville predates the introduction of CRDTs by almost a decade, and at least on the face of it the two concepts seem like a natural fit.
It was always kind of difficult to argue that weaves produced unambiguously better merge results (and more limited conflicts) than the more heuristically driven approaches of git, Mercurial, et al, because the edit histories required to produce test cases were difficult (at least for me) to reason about.
I like that Bram hasn’t let go of the problem, and is still trying out new ideas in the space.
This means that everything that implements eventual consistency (including Git) is using "a CRDT".
Jujutsi (jj) does that. And it’s git compatible.
> ... CRDTs for version control, which is long overdue but hasn’t happened yet
Pijul happened and it has hundreds - perhaps thousands - of hours of real expert developer's toil put in it.
Not that Bram is not one of those, but the post reads like you all know what.
You would think that if a better, more sound model of storing patches is your whole selling point, you would want to make as easy as possible for people who are interested in the project to actually understand it. It is really weird not to care about the first impression that your manual makes on a curious reader.
Currently, I'm about 6 years into the experiment.
Approximately 2 years in (about 4 years ago), I've actually went to the Pijul Nest and reported [1] the issue. I got an explanation on fixing this issue locally, but weirly enough, the fix still wasn't actually implemented on the public version.
I'll report back in about a year with an update on the experiment.
[0] https://pijul.org/manual/theory.html
[1] https://nest.pijul.com/pijul/manual/discussions/46
On the contrary, I think this is an all-too-familiar pitfall for the, er... technically minded.
"I've implemented it in the code. My work here is done. The rest is window dressing."
... and of course it is, because Pijul uses Pijul for development, not Git and GitHub!
I'm surprised! Pijul has been discussed here on HN many, many times. My impression is that many people here were hoping that Pijul might eventually become a serious Git contender but these days people seem to be more excited about Jujutsu, likely because migration is much easier.
From time to time, I do a 'pijul pull -a' into the pijul source tree, and I get a conflict (no local work on my part). Is there a way to do a tracking update pull? I didn't see one, so I toss the repo and reclone. What works for you in tracking what's going on there?
In English, you might think of "procrastination" or "we'll get to it."
In Portuguese, you would say "proxima semana", literally "next week", but it means "we'll get to it" (won't get to it).
This is an implementation of FugueMax (Weidner and Kleppmann) done using a bunch of tricks from Yjs (Jahns). There’s generations of ideas here, by lots of incredibly smart people. And it turns out you can code the whole thing up in 250 lines of readable typescript. Again with no dependencies.
https://github.com/josephg/crdt-from-scratch/blob/master/crd...
- What kind of problems do 1 person, 10 person, 100 person, 1k (etc) teams really run into with managing merge conflicts?
- What do teams of 1, 10, 100, 1k, etc care the most about?
- How does the modern "agent explosion" potentially affect this?
For example, my experience working in the 1-100 regime tells me that, for the most part, the kind of merge conflict being presented here is resolved by assigning subtrees of code to specific teams. For the large part, merge conflicts don't happen, because teams coordinate (in sprints) to make orthogonal changes, and long-running stale branches are discouraged.
However, if we start to mix in agents, a 100 person team could quickly jump into a 1000 person team, esp if each person is using subagents making micro commits.
It's an interesting idea definitely, but without real-world data, it kind of feels like this is just delivering a solution without a clear problem to assign it to. Like, yes merge-conflicts are a bummer, but they happen infrequently enough that it doesn't break your heart.
This changes everything. Agents don't really care what versioning software is used. They can probably figure out whatever you are using. But they'll likely assume it's something standard (i.e. Git) so the easiest is to not get too adventurous. Also, the reasons to use something else mostly boil down to user friendliness and new merge strategies. However, lately I just tell codex to pull and deal with merge conflicts. It's not something I have to do manually anymore. That removes a key reason for me to be experimenting with alternative version control systems. It's not that big of a problem anymore.
Git was actually designed for massive teams (the Linux kernel) but you have to be a bit disciplined using it in a way that many users in smaller teams just aren't. With agentic coding tools, you can just codify what you want to happen in guardrails and skills. Including how to deal with version control and what process to follow.
Where more advanced merge strategies could be helpful is the type of large scale refactoring that are now much easier with agentic coding tools. But doing that in repositories with lots of developers working on other changes is not something that should happen very often. And certainly not without a lot of planning and coordination probably.
> What do teams of 1, 10, 100, 1k, etc care the most about?
Oh god no! That would be about the worst way to do it.
Just make it conceptually sound.
Engineer A intended value = 1
Engineer B intended value = 2
CRDT picks 2
The outcome could be semantically wrong. It doesn't reflect the intent.
I think the primary issue with git and every other version control is the terrible names for everything. pull, push, merge, fast forward, stash, squash, rebase, theirs, ours, origin, upstream and that's just a subset. And the GUI's. They're all very confusing even to engineers who have been doing this for a decade. On top of this, conflict resolution is confusing because you don't have any prior warnings.
It would be incredibly useful if before you were about to edit a file, the version control system would warn you that someone else has made changes to it already or are actively working on it. In large teams, this sort of automation would reduce conflicts, as long as humans agree to not touch the same file. This would also reduce the amount of quality regressions that result from bad conflict resolutions.
Shameless self plug: I am trying to solve both issues with a simpler UI around git that automates some of this and it's free. https://www.satishmaha.com/BetterGit
They don’t have to.
The crdt library knows that value is in conflict, and it decides what to do about it. Most CRDTs are built for realtime collab editing, where picking an answer is an acceptable choice. But the crdt can instead add conflict marks and make the user decide.
Conflicts are harder for a crdt library to deal with - because you need to keep merging and growing a conflict range. And do that in a way that converges no matter the order of operations you visit. But it’s a very tractable problem - someone’s just gotta figure out the semantics of conflicts in a consistent way and code it up. And put a decent UI on top.
How, or better yet, why would Git warn you about a potential conflict beforehand, when the use case is that everyone has a local clone of the repo and might be driving it towards different directions? You are just supposed to pull commits from someone's local branch or push towards one, hence the wording. The fact that it makes sense to cooperate and work on the same direction, to avoid friction and pain, is just a natural accident that grows from the humans using it, but is not something ingrained in the design of the tool.
We're collectively just using Git for the silliest and simplest subset of its possibilities -a VCS with a central source of truth-, while bearing the burden of complexity that comes with a tool designed for distributed workloads.
Bringing me back to my VSS days (and I'd much rather you didn't)
> A CRDT merge always succeeds by definition, so there are no conflicts in the traditional sense — the key insight is that changes should be flagged as conflicting when they touch each other, giving you informative conflict presentation on top of a system which never actually fails. This project works that out.
It has clear contradiction. Crdt always succeed by definition, no conflicts in traditional sense so (rephrasing) conflicting changes are marked as conflicted. Emm, like in any other source control?
In fact, after rereading that intro while writing that answer I start suspect at least smell of an ai writing.
> The code in this project was written artisanally. This README was not.
What I do think is the critical challenge (particularly with Git) is scalability.
Size of repository & rate of change of repositories are starting to push limits of git, and I think this needs revisited across the server, client & wire protocols.
What exactly, I don't know. :). But I do know that in my current role (mid-size well-known tech company) is hitting these limits today.
Is it because of a monorepo?
[1]: https://gavinhoward.com/uploads/designs/yore.md
But "bare" is part of the value of Cohen's post, I think. When you want to publicize a paradigm shift, it helps to make it in small, digestible chunks.
It’s an awesome weekend project, you can have fun visualizing commits in different ways (I’m experimenting with shaders), and importantly:
This is the way forward. So much software is a wrapper around S3 etc. now is your chance to make your own toolset.
I imagine this appeals more to DIYer types (I use Pulsar IDE lol)
The goal should be to build a full spec and then build a code forge and ecosystem around this. If it’s truly great, adoption will come. Microsoft doing a terrible job with GitHub is great for new solutions.
I really wonder what kinds of magical AI you're using, because in my experience, Claude Code chokes and chokes hard on complex rebases/merge conflicts to the point that I couldn't trust it anymore.
[1]: https://github.com/samoshkin/vim-mergetool
i think that's where version control is going. especially useful with agents and CI
[1] https://ataraxy-labs.github.io/sem/
Well, isn't that what the CRDT does in its own data structure ?
Also keep in mind that syntactic correctness doesn't mean functional correctness.
[1] https://arxiv.org/abs/1710.04469
There are many ways to instantiate a CRDT, and a trivial one would be "last write wins" over the whole source tree state. LWW is obviously not what you'd want for source version control. It is "correct" per its own definition, but it is not useful.
Anyone saying "CRDTs solve this" without elaborating on the specifics of their CRDT is not saying very much at all.
Are people really merging that often? What is being merged? Doc fixes?
Funny, there was just a post a couple of days ago how this is false.
https://news.ycombinator.com/item?id=47359712
Developers are quite familiar with Merge Conflicts and the confusing UI that git (and SVN before it, in my experience) gives you about them. The "ours vs theirs" nomenclature which doesn't help, etc. This is something that VCSs can improve on, QED this post.
Vs the scenario you're describing (what I call Logical Conflicts), where two changes touching different parts of the code (so it doesn't emerge as a Merge Conflict) but still breaking each other. Like one change adding a function call in one file but another change changing the API in a different file.
These are painful in a different way, and not something that a simple text-based version control (which is all of the big ones) can even see.
Indeed, CRDTs do not help with Logical Conflicts.
conflict free merging sounds cool, but doesn't that just mean that that a human review step is replaced by "changes become intervals rather than collections of lines" and "last set of intervals always wins"? seems like it makes sense when the conflicts are resolved instantaneously during live editing but does it still make sense with one shot code merges over long intervals of time? today's systems are "get the patch right" and then "get the merge right"... can automatic intervalization be trusted?
edit: actually really interesting if you think about it. crdts have been proven with character at a time edits and use of the mouse select tool.... these are inherently intervalized (select) or easy (character at a time). how does it work for larger patches can have loads of small edits?
Take a docx, write the file, parse it into entities e.g. paragraph, table, etc. and track changes on those entities instead of the binary blob. You can apply the same logic to files used in game development.
The hard part is making this fast enough. But I am working on this with lix [0].
[0] https://github.com/opral/lix
Started with the machine learning use case for datasets and model weights but seeing a lot of traction in gaming as well.
Always open for feedback and ideas to improve if you want to take it for a spin!
Partial checkouts are awkward at best, LFS locks are somehow still buggy and the CLI doesn't support batched updates. Checking the status of a remote branch vs your local (to prevent conflicts) is at best a naive polling.
Better rebase would be a nice to have but there's still so much left to improve for trunk based dev.
When I was screwing around with the Git file format, tricks I would use to save space like hard-linking or memory-mapping couldn't work, because data is always stored compressed after a header.
A general copy-on-write approach to save checkout space is presumably impossible, but I wonder what other people have traveled down similar paths have concluded.
Is it actually okay to try to merge changes to binaries? If two people modify, say, different regions of an image file (even in PNG or another lossless compression format), the sum of the visual changes isn't necessarily equal to the sum of the byte-level changes.
It's been amazing watching it grow over the last few years.
You can choose to have a workflow where you're never directly editing any commit to "gain back autonomy" of the working copy; and if you really want to, with some scripting, you can even emulate a staging area with a specially-formatted commit below the working copy commit.
I recently built Artifact: https://www.paganartifact.com/benny/artifact
Mirror: https://github.com/bennyschmidt/artifact
In case anyone was curious what a full rewrite of git would look like in Node!
The main difference is that on the server I only store deltas, not files, and the repo is “built”.
But yeah full alternative to git with familiar commands, and a hub to go with it.
If you haven’t resolved conflicts then it probably doesn’t compile and of course tests won’t pass, so I don’t see any point in publishing that change? Maybe the commit is useful as a temporary state locally, but that seems of limited use?
Nowadays I’d ask a coding agent to figure out how to rebase a local branch to the latest published version before sending a pull request.
[0]: https://docs.jj-vcs.dev/latest/conflicts/
IE if I change something in my data model, that change & context could be surfaced with agentic tooling.
It's not the same as capturing it, but I would also note that there are a wide wide variety of ways to get 3-way merges / 3 way diffs from git too. One semi-recent submission (2022 discussing a 2017) discussed diff3 and has some excellent comments (https://news.ycombinator.com/item?id=31075608), including a fantastic incredibly wide ranging round up of merge tools (https://www.eseth.org/2020/mergetools.html).
However/alas git 2.35's (2022) fabulous zdiff3 doesn't seems to have any big discussions. Other links welcome but perhaps https://neg4n.dev/blog/understanding-zealous-diff3-style-git...? It works excellently for me; enthusiastically recommended!
So as long as all updates have been sent to the server from all clients, it will know what “time” each character changed and be able to merge automatically.
Is that it basically?
Is it just lack of tooling, or is there something fundamentally better about line-oriented diffs that I’m missing? For the purpose of this question I’m considering line-oriented as a special case of AST-oriented where the AST is a list of lines (anticipating the response of how not all changes are syntactically meaningful or correct).
Slightly disappointed to see that it is a 470 line python file being touted as "future of version control". Plenty of things are good enough in 470 lines of python, even a merge conflict resolver on top of git - but it looks like it didn't want anything to do with git.
Prototyping is almost free these days, so not sure why we only have the barest of POC here.
Anyway, I wanted to suggest a radical idea based on my experience:
Merges are the wrong primitive.
What organizations (whethr centralized or distributed projects) might actually need is:
1) Graph Database - of Streams and Relations
2) Governance per Stream - eg ACLs
A code base should be automatically turned into a graph database (functions calling other functions, accessing configs etc) so we know exactly what affects what.
The concept of what is “too near” each other mentioned in the article is not necessarily what leads to conflicts. Conflicts actually happen due to conflicting graph topology and propagating changes.
People should be able to clone some stream (with permission) and each stream (node in the graph) can be versioned.
Forking should happen into workspaces. Workspaces can be GOVERNED. Publishing some version of a stream just means relating it to your stream. Some people might publish one version, others another.
Rebasing is a first-class primitive, rather than a form of merging. A merge is an extremely privileged operation from a governance point of view, where some actor can just “push” (or “merge”) thousands of commits. The more commits, the more chance of conflicts.
The same problem occurs with CRDTs. I like CRDTs, but reconciling a big netsplit will result in merging strategies that create lots of unintended semantic side effects.
Instead, what if each individual stream was guarded by policies, there was a rate limit of changes, and people / AIs rejected most proposals. But occasionally they allow it with M of N sign offs.
Think of chatgpt chats that are used to modify evolving artifacts. People and bots working together. The artifacts are streams. And yes, this can even be done for codebases. It isnt about how “near” things are in a file. Rather it is about whether there is a conflict on a graph. When I modify a specific function or variable, the system knows all of its callers downstream. This is true for many other things besides coding too. We can also have AI workflows running 24/7 to try out experiments as a swarm in sandboxes, generate tests and commit the results that pass. But ultimately, each organization determines whether they want to rebase their stream relations to the next version of something or not.
That is what I’m building now with https://safebots.ai
PS: if anyone is interested in this kind of stuff, feel free to schedule a calendly meeting w me on that site. I just got started recently, but I’m dogfooding my own setup and using AI swarms which accelerates the work tremendously.