A Better R Programming Experience Thanks to Tree-sitter
Davis Vaughan developed an R grammar for the Tree-sitter parsing generator, enhancing the R programming experience. This work builds on contributions from Jim Hester and Kevin Ushey and was recognized at the useR! 2024 conference.
ropensci.org
9 min
4/16/2026
Weave – A language aware merge algorithm based on entities
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.
github.com
4 min
3/4/2026
A Better R Programming Experience Thanks to Tree-sitter
Davis Vaughan developed an R grammar for the Tree-sitter parsing generator, enhancing the R programming experience. This work builds on contributions from Jim Hester and Kevin Ushey and was recognized at the useR! 2024 conference.
ropensci.org
9 min
4/16/2026
Weave – A language aware merge algorithm based on entities
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.
github.com
4 min
3/4/2026
A Better R Programming Experience Thanks to Tree-sitter
Davis Vaughan developed an R grammar for the Tree-sitter parsing generator, enhancing the R programming experience. This work builds on contributions from Jim Hester and Kevin Ushey and was recognized at the useR! 2024 conference.
ropensci.org
9 min
4/16/2026
Weave – A language aware merge algorithm based on entities
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.
github.com
4 min
3/4/2026
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