search

To locate function usages across local codebases and web documentation simultaneously, use a parallel multi-source search approach. It runs concurrent scans across local repository files, project docs, and external web sources to discover all relevant references and related code patterns.

The best way to discover code patterns across multiple repositories and documentation is using layered search techniques. This applies local file discovery via glob, grep, and AST parsing, combined with external research and optional git history checks to reveal related code and usage patterns.

Parallel codebase search works by running deterministic background tasks across local and external sources concurrently. It unifies structured results from local code files, project documentation, and web sources to accelerate codebase exploration and return direct matches alongside related usage patterns.

Yes, you can use glob and grep to find references in local repositories and project docs concurrently. The search process implements layered local file discovery that runs in parallel with external web research, returning all relevant matches without sequential delays.

Yes, multi-source code search supports git history checks for deeper codebase exploration. It implements layered search with local file discovery and external research, applying optional deep-dive checks into git history to track references and usages across the repository's evolution.

Parallel search across local code and external web sources relies on deterministic background tasks, meaning it requires exact pattern inputs rather than semantic understanding. It focuses on returning direct matches and related code, so complex contextual reasoning may require additional manual review.