searching-code

Semantic codebase search traces authentication flows by running 8 parallel searches across multiple hypotheses and using 4 reasoning turns to understand causal relationships across files. It returns ranked results with file paths, line numbers, and contextual snippets.

Exploring large repositories is best handled by performing 8 parallel searches per query to explore multiple hypotheses simultaneously. This approach generates ranked results with file paths and line numbers, enabling efficient cross-file code understanding in very large repos.

Yes, you can use WarpGrep for cross-file code understanding in very large repos. It performs intelligent, semantically-guided searches using 8 parallel queries and 4 reasoning turns to trace causal relationships and produce ranked results with contextual snippets.

To search a codebase and locate implementations, formulate your code question and run a semantically-guided search. The system executes 8 parallel searches to explore multiple hypotheses, providing ranked results with specific file paths and line numbers.

Yes, semantic code search requires access to the repository path to perform intelligent, semantically-guided exploration. Once provided, it uses 8 parallel searches and 4 reasoning turns to deliver ranked results with contextual snippets for large repositories.