code-explore

Semantic code exploration uses Tree-Sitter AST parsing and Repomix to automatically extract functions, classes, imports, and usage patterns across your entire codebase. Instead of manual grep commands, you get structured results with file:line references, eliminating false positives from comments or strings.

Yes. Tree-Sitter find_usage traces all references to a symbol—like CopyWorker—across multiple files instantly, returning exact locations with line numbers. This replaces time-consuming manual searching with language-aware semantic analysis.

Tree-Sitter performs Abstract Syntax Tree parsing to understand code structure semantically, eliminating false matches in comments, strings, or unrelated contexts. Grep searches text literally and lacks language awareness, leading to incomplete or incorrect results on complex codebases.

Use tree-sitter analyze_project to generate a structured summary of your codebase organization, including functions, classes, imports, and complexity metrics. This provides instant insights into your project architecture without token-inefficient manual exploration.

Repomix is built for large-project efficiency with token optimization and built-in security validation. It packages entire codebases for pattern matching while managing token consumption, making it suitable for exploration at scale without exhausting context windows.

Yes. Repomix enables efficient pattern and idiom matching across entire codebases by semantically packaging code structure. Combined with Tree-Sitter's AST awareness, you can search for architectural patterns and structural information precisely.