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Weave – A language aware merge algorithm based on entities

GitHub - Ataraxy-Labs/weave: Entity-level semantic merge driver for Git. Resolves conflicts that git can't by understanding code structure via tree-sitter. 31/31 clean merges vs git's 15/31.

github.com

March 4, 2026

4 min read

Summary

Weave is an entity-level semantic merge driver for Git that resolves conflicts by understanding code structure using tree-sitter. It achieves 31 out of 31 clean merges, compared to Git's 15 out of 31.

Key Takeaways

  • Weave utilizes entity-level semantic merging to resolve conflicts in Git by understanding code structure through tree-sitter, resulting in 31 out of 31 clean merges compared to Git's 15 out of 31.
  • Weave auto-resolves conflicts when different entities are changed, while Git produces false conflicts on independent changes within the same file.
  • In tests across major open-source repositories, Weave showed zero regressions and successfully resolved conflicts that Git could not, with a human match rate of up to 64%.
  • Weave provides detailed context for real conflicts, indicating the specific entity and nature of the conflict, enhancing clarity for developers.

Community Sentiment

Mixed

Positives

  • The language-aware content merging approach has garnered positive feedback from key figures in the Git community, indicating strong demand and potential for broader adoption.
  • The ability to run AST-level queries could revolutionize how developers understand changes across branches, enhancing collaboration and reducing merge conflicts.

Concerns

  • Concerns were raised about Weave's ability to detect structural refactors, which could limit its effectiveness in handling complex code changes.
  • Initial testing revealed that Weave did not resolve expected merge conflicts, raising questions about its reliability in practical scenarios.
Read original article

Source

github.com

Published

March 4, 2026

Reading Time

4 minutes

Relevance Score

57/100

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