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Semantic code analysis identifies and resolves symbol references across a codebase using AST parsing, enabling scope-aware go-to-definition, accurate find-usages, and cross-file impact analysis while eliminating text-based search false positives.

Cross-file impact analysis is performed by applying AST-based semantic analysis to trace symbol references, including tracking re-exports for TS/JS, which reveals the full architecture graph and read-only dependency health signals.

Yes, AST-based semantic analysis supports Python and Ruby codebases alongside TypeScript and JavaScript. It performs symbol lookup, find-usages, and architecture graph visualization within a read-only framework across these four languages.

Text-based search returns false positives because it matches string literals without understanding code scope or structure. AST-based semantic analysis resolves this by parsing the syntax tree to perform scope-aware symbol resolution and accurate cross-file reference tracking.

Yes, you can visualize software architecture and dependencies. The analysis generates a read-only architecture graph that reports dependencies and health signals by resolving cross-file symbol references and re-exports across the project.

To locate a symbol definition and trace its usages, apply AST-based semantic analysis to perform scope-aware go-to-definition and find-usages. This accurately tracks cross-file references and re-exports without modifying the read-only codebase.