smart-grep-extended

Code search without wasting tokens uses ripgrep's JSON output, line truncation, and configurable token budgeting to return only concise path and line-number matches. This prevents broad grep output from flooding your context window with irrelevant data.

Finding functions, classes, imports, and TODOs across a repository is the primary use case. The search targets source files like Python, JavaScript, and TypeScript, narrowing results to the few relevant lines instead of returning noisy full-file matches.

The best way to locate authentication logic in a large codebase is using a targeted search that narrows results to concise, token-budgeted matches. This surfaces only the relevant lines and paths, allowing you to open only the most relevant file for deeper inspection.

Yes, repository scanning works with Python, JavaScript, TypeScript, and similar source files. It applies token budgeting and line truncation to structured search output, ensuring concise results across these different language ecosystems.

Token budgeting keeps code search results concise by applying limits to structured ripgrep JSON output and truncating long lines. This ensures that only the most relevant path and line-number matches are returned within configurable token constraints.

You should avoid token-budgeted grep when you need to inspect the full context of a file or require untruncated lines for analysis. It is designed for locating symbols and patterns first, followed by opening specific files for deeper inspection.