Semantic code grouping analyzes what files do and clusters related changes into understandable layers. A group might represent data access, interface behavior, configuration or another functional part of the change.
The grouping helps reviewers reason about intent across a large diff, but inferred relationships can be wrong. Every group should link back to the actual files and changes that support it.
ELI5
Semantic code grouping organizes changed files by what they do instead of only where they appear in a folder or diff. It can group changes into areas such as data access, interface behavior, tests, or configuration.
For example, a pull request touching 40 files can be shown as several functional groups that explain the architecture of the change. Reviewers should still be able to open the real files because the AI can misunderstand how two changes are related.
How is semantic grouping different from grouping by folder?
Folder grouping uses file location, while semantic grouping uses inferred function, dependencies and the role each change plays.
Why is semantic code grouping useful?
It breaks a large pull request into coherent parts that reviewers can inspect as a sequence of related decisions.
