So Weave claims AI based development increase git conflict frequency.
Given that most git conflicts are easy to solve by person who didn't involved at changes, even for a person who don't know that programming language, it's natural to let AI handle the git conflicts.
Solving a git conflict is most often a simple text manipulation without needing much of context. I see no problem current AI models can't do it.
At this point, the question is: why keep files as blobs in the first place. If a revision control system stores AST trees instead, all the work is AST-level. One can run SQL-level queries then to see what is changing where. Like
- do any concurrent branches touch this function?
- what new uses did this function accrete recently?
- did we create any actual merge conflicts?
Almost LSP-level querying, involving versions and branches.
Beagle is a revision control system like that [1]
It is quite early stage, but the surprising finding is: instead of being a depository of source code blobs, an SCM can be the hub of all activities. Beagle's architecture is extremely open in the assumption that a lot of things can be built on top of it. Essentially, it is a key-value db, keys are URIs and values are BASON (binary mergeable JSON) [2] Can't be more open than that.
This is the right question. Storing ASTs directly would make all of this native instead of layered on top.
The pragmatic reason weave works at the git layer: adoption. Getting people to switch merge drivers is hard enough, getting them to switch VCS is nearly impossible. So weave parses the three file versions on the fly during merge, extracts entities, resolves per-entity, and writes back a normal file that git stores as a blob. You get entity-level merging without anyone changing their workflow.
But you're pointing at the ceiling of that approach. A VCS that stores ASTs natively could answer "did any concurrent branches touch this function?" as a query, not as a computation. That's a fundamentally different capability. Beagle looks interesting, will dig into the BASON format.
We built something adjacent with sem (https://github.com/ataraxy-labs/sem) which extracts the entity dependency graph from git history. It can answer "what new uses did this function accrete" and "what's the blast radius of this change" but it's still a layer on top of git, not native storage.
Well, if you're programming in C or C++, there may not be a parse tree. Tree-sitter makes a best effort attempt to parse but it can't in general due to the preprocessor.
Great point. C/C++ with macros and preprocessor directives is where tree-sitter's error recovery gets stretched. We support both C and C++ in sem-core(https://github.com/Ataraxy-Labs/sem) but the entity extraction is best-effort for heavily macro'd code. For most application-level C++ it works well, but something like the Linux kernel would be rough. Honestly that's an argument for gritzko's AST-native storage approach where the parser can be more tightly integrated.
I only diff the changed files. Producing blob out of BASON AST is trivial (one scan). Things may get slow for larger files, e.g. tree-sitter C++ parser is 25MB C file, 750KLoC. Takes couple seconds to import it. But it never changes, so no biggie.
There is room for improvement, but that is not a show-stopper so far. I plan round-tripping Linux kernel with full history, must show all the bottlenecks.
P.S. I checked lix. It uses a SQL database. That solves some things, but also creates an impedance mismatch. Must be x10 slow down at least. I use key-value and a custom binary format, so it works nice. Can go one level deeper still, use a custom storage engine, it will be even faster. Git is all custom.
This is exactly a reason why weave stays on top of git instead of replacing storage. Parsing three file versions at merge time is fine (was about 5-67ms). Parsing on every read/write would be a different story. I know about Lix, but will check it out again.
Some context on the validation so far: Elijah Newren, who wrote git's merge-ort (the default merge strategy), reviewed weave and said language-aware content merging is the right approach, that he's been asked about it enough times to be certain there's demand, and that our fallback-to-line-level strategy for unsupported languages is "a very reasonable way to tackle the problem." Taylor Blau from the Git team said he's "really impressed" and connected us with Elijah. The creator of libgit2 starred the repo. Martin von Zweigbergk (creator of jj) has also been excited about the direction. We are also working with GitButler team to integrate it as a research feature.
The part that's been keeping me up at night: this becomes critical infrastructure for multi-agent coding. When multiple agents write code in parallel (Cursor, Claude Code, Codex all ship this now), they create worktrees for isolation. But when those branches merge back, git's line-level merge breaks on cases where two agents added different functions to the same file. weave resolves these cleanly because it knows they're separate entities. 31/31 vs git's 15/31 on our benchmark.
Weave also ships as an MCP server with 14 tools, so agents can claim entities before editing, check who's touching what, and detect conflicts before they happen.
Does this actually matter for multi-agent use cases? Surely people that are using swarms of AI agents to write code are just letting them resolve merge conflicts.
So that you don't feel that I am biased about my thing but just giving more context that it's not just me, its actually people saying on twitter how often the merging breaks when you are running production level code and often merging different branches.
Those users all work for companies that sell AI tools. And the first one literally says they let AI fix merge conflicts. The second one is in a thread advocating for 0 code review (which this can’t guarantee) (and also ew). The third is also saying to just have another bot handle merging.
Thanks a lot for the fair criticism, Appreciate it! You're right that those links aren't the strongest evidence. The real argument isn't "people are complaining on twitter." It's just much simpler when two agents add different functions to the same file, where git creates a conflict that doesn't need to exist. Weave just knows they're separate entities and merges cleanly. Whether you let AI resolve the false conflict or avoid it entirely is a design choice, we think avoiding it is better.
It’s your GitHub profile. It looks suspiciously just like the other 10 GitHub users that have been spamming AI generated issues and PRs for the last 2 weeks. They always go quiet eventually. I suspect because they are violating GitHub’s ToS, but maybe they just run out of free tokens.
Thanks again for criticising, so tackling each of your comment:
GitHub’s ToS, because you suspect, so I can help you understand them.
> What violates it:
1. Automated Bulk issues/PRs, that we don't own
2. Fake Stars or Engagement Farming
3. Using Bot Accounts.
We own the repo, there's not even a single fake star, I don't even know how to create a bot account lol.
> Scenario when we run out of free tokens.
Open AI and Anthropic have been sponsoring my company with credits, because I am trying to architect new software post agi world, so if I run out I will ask them for more tokens.
And you are opening issues on projects trying to get them to adopt your product. Seems like spam to me. How much are you willing to spend maintaining this project if those free tokens go away?
When you're just a normal guy genuinely trying to build something great and there's nobody who believes in you yet, the only thing you can do is go to projects you admire and ask "would this help you?" Patrick Collison did the same thing early on, literally taking people's laptops to install Stripe.
How does it compare to https://mergiraf.org/ ? I've had good experience with it so far, although I rarely even need it.
It's also based on treesitter, but probably otherwise a more baseline algorithm. I wonder if that "entity-awareness" actually then brings something to the table in addition to the AST.
edit: man, I tried searching this thread for mention of the tool for a few times, but apparently its name is not mergigraf
I've been using mergiraf for ~6 months and tried to use it to resolve a conflict from multiple Claude instances editing a large bash script. Sadly neither support bash out of the box, which makes me suspect that classic merge is better in this/some cases...
Will try adding the bash grammar to mergiraf or weave next time
The key difference: mergiraf matches individual AST nodes (GumTree + PCS triples). Weave matches entities (functions, classes, methods) as whole units. Simpler, faster, and conflicts are readable ("conflict in validate_token" instead of a tree of node triples).
The other big gap: weave ships as an MCP server with 14 tools for agent coordination. Agents can claim entities before editing and detect conflicts before they merge. That's the piece mergiraf doesn't have.
On bash: weave falls back to line-level for unsupported languages, so it'll work as well as git does there.
Adding a bash tree-sitter grammar would unlock entity-level merge for it. But I can work on it tonight, if you want it urgently.
C# is supported! It goes through sem-core's(the underlying library for parsing we use in Weave) tree-sitter-c-sharp plugin. Classes, methods, interfaces, enums, structs are all extracted with it. Let me know if you hit anything.
Haha, thanks for the feedback, yeah multi agent workflows were especially kept in mind when designing this! So I hope it helps, I am always here for feedback and feature requests.
If both sides refactor the same function into multiple smaller ones (extract method) or rename it, can Weave detect that as a structural refactor, or does it become “delete + add”? Any heuristics beyond name matching?
Yes, weave detects renames via structural_hash (AST-normalized hash that ignores identifier names). If both sides rename the same function, it matches by structure and merges cleanly.
Thanks a lot, I will test it out as you said, in the mean time, could you also open up an issue on the repo, so that it helps me and others to track the issue.
Swift isn't supported yet but adding a new language is straightforward since we use tree-sitter. There's already a tree-sitter-swift grammar. Would happily accept a PR for it, if you are down for it.
I tried this with the kind of merge conflict I'd expect it to solve automatically, and it didn't. Is it supposed to work while rebasing, or is it strictly for merges?
Thanks for trying it! Would love to know what the merge conflict looked like, if you can share the repo or a minimal repro, I'll dig into why it didn't resolve. That kind of feedback is exactly what helps us improve.
We got asked this on the X thread too, when we went viral here https://x.com/rs545837/status/2021020365376671820. Your git doesn't change at all. Weave plugs in through git's merge driver interface (.gitattributes), so git still handles everything, it just calls weave for the content merge step instead of its default line-level algorithm. All your git commands, workflow, and history stay exactly the same.
For diffing arbitrary files outside git, we built sem (https://github.com/ataraxy-labs/sem) which does entity-level diffs. sem diff file1.py file2.py shows you which functions changed, were added, or deleted rather than line-level changes
I meant when they each work on a separate branch and merge back, you get
the similar kinds of conflicts, where a bunch of them should not even be a conflict, so weave is trying to solve it.
The entity-level approach is a meaningful step up from line-based merging. Anyone who has dealt with a merge conflict where git splits a function signature across conflict markers knows how much context is lost at the line level. Curious how this handles languages with significant whitespace like Python, where indentation changes can shift the semantic meaning of entire blocks.
I think for Python entity-level merging has to treat indentation as structural rather than cosmetic, because a shifted indent can change which block a statement belongs to. In my experience the pragmatic approach is to parse into an AST with a tolerant parser like parso or tree-sitter, perform a 3-way AST merge that matches functions and classes by name and signature, then reserialize while preserving comment and whitespace spans. The practical tradeoff is that conflicted code is often syntactically invalid, so you need error tolerant recovery or a token-level fallback that normalizes INDENT and DEDENT tokens and runs an LCS style merge on tokens when AST matching fails. I've found combining node-matching heuristics with a lightweight reindent pass cuts down the number of manual fixes, but you still get a few gnarly cases when someone renamed a symbol and moved its body in the same commit.
Thanks for commenting, Good question. Python was one of the trickier ones to get right. Tree-sitter parses the full AST including indentation structure, so weave knows that an indented block belongs to its parent class or function. When merging, it matches entities by name and reconstructs with the original indentation preserved.
We also handle Python class merge specifically: if both sides add different methods to the same class, weave merges them as separate inner entities rather than treating the whole class as one conflicting block. The indentation is derived from the AST structure, not from line diffing, so it can't accidentally shift a method out of its class scope.
Dude, I tried this for a huge merge conflict and was able to auto resolve so much and came across sem for giving my agents context on what changed for reviewing some code and surprisingly, I feel git is done for good. Much less tokens, and much more accurate, I can see something big out of this, things like weave come once in a century
Yup he works at Plane, and he used weave in merge conflicts there which helped him, he just told about it. He has been contributing and using weave since then.
Haha appreciate the love man! Still early days but the fact that entity-level context cuts tokens that much validates the whole thesis. Glad it's working for you, keep the feedback coming.
So Weave claims AI based development increase git conflict frequency.
Given that most git conflicts are easy to solve by person who didn't involved at changes, even for a person who don't know that programming language, it's natural to let AI handle the git conflicts.
Solving a git conflict is most often a simple text manipulation without needing much of context. I see no problem current AI models can't do it.
At this point, the question is: why keep files as blobs in the first place. If a revision control system stores AST trees instead, all the work is AST-level. One can run SQL-level queries then to see what is changing where. Like
Almost LSP-level querying, involving versions and branches. Beagle is a revision control system like that [1]It is quite early stage, but the surprising finding is: instead of being a depository of source code blobs, an SCM can be the hub of all activities. Beagle's architecture is extremely open in the assumption that a lot of things can be built on top of it. Essentially, it is a key-value db, keys are URIs and values are BASON (binary mergeable JSON) [2] Can't be more open than that.
[1]: https://github.com/gritzko/librdx/tree/master/be
[2]: https://github.com/gritzko/librdx/blob/master/be/STORE.md
This is the right question. Storing ASTs directly would make all of this native instead of layered on top.
The pragmatic reason weave works at the git layer: adoption. Getting people to switch merge drivers is hard enough, getting them to switch VCS is nearly impossible. So weave parses the three file versions on the fly during merge, extracts entities, resolves per-entity, and writes back a normal file that git stores as a blob. You get entity-level merging without anyone changing their workflow.
But you're pointing at the ceiling of that approach. A VCS that stores ASTs natively could answer "did any concurrent branches touch this function?" as a query, not as a computation. That's a fundamentally different capability. Beagle looks interesting, will dig into the BASON format.
We built something adjacent with sem (https://github.com/ataraxy-labs/sem) which extracts the entity dependency graph from git history. It can answer "what new uses did this function accrete" and "what's the blast radius of this change" but it's still a layer on top of git, not native storage.
This sounds like an AI generated self promo slop made for reddit, did you accidentally paste it into a wrong website?
No it was meant to be here, I don't like reddit as much as I love HN.
If you don't understand what's being talked about, maybe best to stay quiet
Well, if you're programming in C or C++, there may not be a parse tree. Tree-sitter makes a best effort attempt to parse but it can't in general due to the preprocessor.
Great point. C/C++ with macros and preprocessor directives is where tree-sitter's error recovery gets stretched. We support both C and C++ in sem-core(https://github.com/Ataraxy-Labs/sem) but the entity extraction is best-effort for heavily macro'd code. For most application-level C++ it works well, but something like the Linux kernel would be rough. Honestly that's an argument for gritzko's AST-native storage approach where the parser can be more tightly integrated.
How do you get blob file writes fast?
I built lix [0] which stores AST’s instead of blobs.
Direct AST writing works for apps that are “ast aware”. And I can confirm, it works great.
But, the all software just writes bytes atm.
The binary -> parse -> diff is too slow.
The parse and diff step need to get out of the hot path. That semi defeats the idea of a VCS that stores ASTs though.
[0] https://github.com/opral/lix
I only diff the changed files. Producing blob out of BASON AST is trivial (one scan). Things may get slow for larger files, e.g. tree-sitter C++ parser is 25MB C file, 750KLoC. Takes couple seconds to import it. But it never changes, so no biggie.
There is room for improvement, but that is not a show-stopper so far. I plan round-tripping Linux kernel with full history, must show all the bottlenecks.
P.S. I checked lix. It uses a SQL database. That solves some things, but also creates an impedance mismatch. Must be x10 slow down at least. I use key-value and a custom binary format, so it works nice. Can go one level deeper still, use a custom storage engine, it will be even faster. Git is all custom.
This is exactly a reason why weave stays on top of git instead of replacing storage. Parsing three file versions at merge time is fine (was about 5-67ms). Parsing on every read/write would be a different story. I know about Lix, but will check it out again.
Well, I'll be diving in. Thank you for sharing. Same for Weave.
Awesome, let me know how it goes. Happy to help if you hit any rough edges.
Some context on the validation so far: Elijah Newren, who wrote git's merge-ort (the default merge strategy), reviewed weave and said language-aware content merging is the right approach, that he's been asked about it enough times to be certain there's demand, and that our fallback-to-line-level strategy for unsupported languages is "a very reasonable way to tackle the problem." Taylor Blau from the Git team said he's "really impressed" and connected us with Elijah. The creator of libgit2 starred the repo. Martin von Zweigbergk (creator of jj) has also been excited about the direction. We are also working with GitButler team to integrate it as a research feature.
The part that's been keeping me up at night: this becomes critical infrastructure for multi-agent coding. When multiple agents write code in parallel (Cursor, Claude Code, Codex all ship this now), they create worktrees for isolation. But when those branches merge back, git's line-level merge breaks on cases where two agents added different functions to the same file. weave resolves these cleanly because it knows they're separate entities. 31/31 vs git's 15/31 on our benchmark.
Weave also ships as an MCP server with 14 tools, so agents can claim entities before editing, check who's touching what, and detect conflicts before they happen.
Congrats on getting acknowledged by people with credibility.
I also think that this approach has a lot of potential. Keep up the good work sir.
Thanks a lot! Appreciate it.
Does this actually matter for multi-agent use cases? Surely people that are using swarms of AI agents to write code are just letting them resolve merge conflicts.
So that you don't feel that I am biased about my thing but just giving more context that it's not just me, its actually people saying on twitter how often the merging breaks when you are running production level code and often merging different branches.
https://x.com/agent_wrapper/status/2026937132649247118 https://x.com/omega_memory/status/2028844143867228241 https://x.com/vincentmvdm/status/2027027874134343717
Those users all work for companies that sell AI tools. And the first one literally says they let AI fix merge conflicts. The second one is in a thread advocating for 0 code review (which this can’t guarantee) (and also ew). The third is also saying to just have another bot handle merging.
Thanks a lot for the fair criticism, Appreciate it! You're right that those links aren't the strongest evidence. The real argument isn't "people are complaining on twitter." It's just much simpler when two agents add different functions to the same file, where git creates a conflict that doesn't need to exist. Weave just knows they're separate entities and merges cleanly. Whether you let AI resolve the false conflict or avoid it entirely is a design choice, we think avoiding it is better.
Dear god, it’s bots all the way down.
What do you mean?
It’s your GitHub profile. It looks suspiciously just like the other 10 GitHub users that have been spamming AI generated issues and PRs for the last 2 weeks. They always go quiet eventually. I suspect because they are violating GitHub’s ToS, but maybe they just run out of free tokens.
Thanks again for criticising, so tackling each of your comment:
GitHub’s ToS, because you suspect, so I can help you understand them.
> What violates it:
We own the repo, there's not even a single fake star, I don't even know how to create a bot account lol.> Scenario when we run out of free tokens.
Open AI and Anthropic have been sponsoring my company with credits, because I am trying to architect new software post agi world, so if I run out I will ask them for more tokens.
And you are opening issues on projects trying to get them to adopt your product. Seems like spam to me. How much are you willing to spend maintaining this project if those free tokens go away?
When you're just a normal guy genuinely trying to build something great and there's nobody who believes in you yet, the only thing you can do is go to projects you admire and ask "would this help you?" Patrick Collison did the same thing early on, literally taking people's laptops to install Stripe.
https://github.com/Ataraxy-Labs/weave/pull/11
Dude did you just call me AI generated haha, i've been actively using weave for a gui I've been building for blazingly fast diffs
https://x.com/Palanikannan_M/status/2022190215021126004
So whenever I run into bugs I patched locally in my clone, I try to let the clanker raise a pr upstream, insane how easy things are now.
I think you accidentally switched accounts.
Nope that's other user, he has been working with me on weave, check the PRs that you are calling AI generated.
How does it compare to https://mergiraf.org/ ? I've had good experience with it so far, although I rarely even need it.
It's also based on treesitter, but probably otherwise a more baseline algorithm. I wonder if that "entity-awareness" actually then brings something to the table in addition to the AST.
edit: man, I tried searching this thread for mention of the tool for a few times, but apparently its name is not mergigraf
Actually tackled it here: https://x.com/rs545837/status/2021423280410988580
Cheers,
I think it would be interesting to include it in the comparison table, as I think it could be viewed as a base line language-aware merge tool.
what kind of compariosn table are you looking for? I actually added that on the website https://ataraxy-labs.github.io/weave/
Interesting that Weave tries to solve Mergiref's shortcomings (also Tree-sitter based):
> git merges lines. mergiraf merges tree nodes. weave merges entities. [1]
I've been using mergiraf for ~6 months and tried to use it to resolve a conflict from multiple Claude instances editing a large bash script. Sadly neither support bash out of the box, which makes me suspect that classic merge is better in this/some cases...
Will try adding the bash grammar to mergiraf or weave next time
[1] https://ataraxy-labs.github.io/weave/
Hey, author here. This comparison came up a lot when weave went viral on X (https://x.com/rs545837/status/2021020365376671820).
The key difference: mergiraf matches individual AST nodes (GumTree + PCS triples). Weave matches entities (functions, classes, methods) as whole units. Simpler, faster, and conflicts are readable ("conflict in validate_token" instead of a tree of node triples).
The other big gap: weave ships as an MCP server with 14 tools for agent coordination. Agents can claim entities before editing and detect conflicts before they merge. That's the piece mergiraf doesn't have.
On bash: weave falls back to line-level for unsupported languages, so it'll work as well as git does there.
Adding a bash tree-sitter grammar would unlock entity-level merge for it. But I can work on it tonight, if you want it urgently.
Cheers,
No C#?
C# is supported! It goes through sem-core's(the underlying library for parsing we use in Weave) tree-sitter-c-sharp plugin. Classes, methods, interfaces, enums, structs are all extracted with it. Let me know if you hit anything.
Website: https://ataraxy-labs.github.io/weave/
I haven't tried it but this sounds like it would be really valuable to me.
Haha, thanks for the feedback, yeah multi agent workflows were especially kept in mind when designing this! So I hope it helps, I am always here for feedback and feature requests.
If both sides refactor the same function into multiple smaller ones (extract method) or rename it, can Weave detect that as a structural refactor, or does it become “delete + add”? Any heuristics beyond name matching?
Yes, weave detects renames via structural_hash (AST-normalized hash that ignores identifier names). If both sides rename the same function, it matches by structure and merges cleanly.
This will not work for refactors. In fact, any other change will break the hash. I know because I used this approach for quite some time.
Thanks a lot, I will test it out as you said, in the mean time, could you also open up an issue on the repo, so that it helps me and others to track the issue.
I will ask Claude to open it, thanks!
Thanks, lemme know how it goes, I will review and we can discuss over the issue.
Awesome, I've been wanting this for a long time! Any chance of Swift being supported?
Swift isn't supported yet but adding a new language is straightforward since we use tree-sitter. There's already a tree-sitter-swift grammar. Would happily accept a PR for it, if you are down for it.
I tried this with the kind of merge conflict I'd expect it to solve automatically, and it didn't. Is it supposed to work while rebasing, or is it strictly for merges?
Thanks for trying it! Would love to know what the merge conflict looked like, if you can share the repo or a minimal repro, I'll dig into why it didn't resolve. That kind of feedback is exactly what helps us improve.
It’s described as a “merge driver for Git”. Is it usable independently of git? Can I use it to diff arbitrary files?
We got asked this on the X thread too, when we went viral here https://x.com/rs545837/status/2021020365376671820. Your git doesn't change at all. Weave plugs in through git's merge driver interface (.gitattributes), so git still handles everything, it just calls weave for the content merge step instead of its default line-level algorithm. All your git commands, workflow, and history stay exactly the same.
For diffing arbitrary files outside git, we built sem (https://github.com/ataraxy-labs/sem) which does entity-level diffs. sem diff file1.py file2.py shows you which functions changed, were added, or deleted rather than line-level changes
Very cool, would love to see Ruby support added.
Thanks for the request, our team is already working on it, and infact we were going to ship ruby tonight!
Cheers,
Nice, thanks for the Ruby support!
Of course!
> This happens constantly when multiple AI agents work on the same codebase
What?
Is the idea of "multiple agents" of flesh and blood writing code that far fetched now?
I meant when they each work on a separate branch and merge back, you get the similar kinds of conflicts, where a bunch of them should not even be a conflict, so weave is trying to solve it.
The entity-level approach is a meaningful step up from line-based merging. Anyone who has dealt with a merge conflict where git splits a function signature across conflict markers knows how much context is lost at the line level. Curious how this handles languages with significant whitespace like Python, where indentation changes can shift the semantic meaning of entire blocks.
I think for Python entity-level merging has to treat indentation as structural rather than cosmetic, because a shifted indent can change which block a statement belongs to. In my experience the pragmatic approach is to parse into an AST with a tolerant parser like parso or tree-sitter, perform a 3-way AST merge that matches functions and classes by name and signature, then reserialize while preserving comment and whitespace spans. The practical tradeoff is that conflicted code is often syntactically invalid, so you need error tolerant recovery or a token-level fallback that normalizes INDENT and DEDENT tokens and runs an LCS style merge on tokens when AST matching fails. I've found combining node-matching heuristics with a lightweight reindent pass cuts down the number of manual fixes, but you still get a few gnarly cases when someone renamed a symbol and moved its body in the same commit.
Really appreciate the detail here, this is clearly hard-won experience. I agree that indentation is structural in Python.
Thanks for commenting, Good question. Python was one of the trickier ones to get right. Tree-sitter parses the full AST including indentation structure, so weave knows that an indented block belongs to its parent class or function. When merging, it matches entities by name and reconstructs with the original indentation preserved.
We also handle Python class merge specifically: if both sides add different methods to the same class, weave merges them as separate inner entities rather than treating the whole class as one conflicting block. The indentation is derived from the AST structure, not from line diffing, so it can't accidentally shift a method out of its class scope.
Dude, I tried this for a huge merge conflict and was able to auto resolve so much and came across sem for giving my agents context on what changed for reviewing some code and surprisingly, I feel git is done for good. Much less tokens, and much more accurate, I can see something big out of this, things like weave come once in a century
You have write access to this git repo as a first time contributor. You are likely the owner of this repo as well.
You made a pull request not from your own fork, but from a separate branch, https://github.com/Ataraxy-Labs/weave/pull/9
He also was pushing code to a branch on the same repo three weeks ago: https://github.com/Ataraxy-Labs/weave/commits/fix/utf8-panic... but is acting in this post like he just discovered the project.
Yup he works at Plane, and he used weave in merge conflicts there which helped him, he just told about it. He has been contributing and using weave since then.
Yeah he is the other contributor to the repo.
Haha appreciate the love man! Still early days but the fact that entity-level context cuts tokens that much validates the whole thesis. Glad it's working for you, keep the feedback coming.
>I feel git is done for good
I'm either not understanding your comment or not understanding the project. Isn't this built on top of git?
I think he was just being sarcastic, git's so amazing it can never be done for good. Yeah it's just a merge driver that will sit on top of git.
Are agents any good with it?
Yes I designed it for agents especially, there's also weave mcp that I built that you can checkout.
The good part is that this research extends really good for code review because tracking entities is more semantically rich than lines.