deep-search

To map code relationships in a large codebase for refactoring, apply a parallel 3-track search combining exact matches, semantic reasoning, and file-pattern discovery to identify symbols, patterns, and dependencies concurrently.

The best way to search for symbols and patterns across a large repository is running three parallel tracks: exact string matching, semantic reasoning, and file-pattern discovery to maximize coverage.

Yes, you can trace import and dependency graphs using semantic codebase search by analyzing import relationships, interface adoption, and circular references to map the complete code graph during audits or feature discovery.

Yes, parallel codebase search works for dependency tracing and interface adoption analysis by running concurrent tracks that map import relationships and circular references, compiling findings into structured reports with source paths.

You need multi-strategy codebase exploration instead of standard grep when single-method searches cannot reveal hidden dependencies. Combining exact matches, semantic reasoning, and file discovery exposes complex code relationships during audits or feature discovery.