repoprompt

You can explore a large codebase without exceeding AI token limits by generating file trees, searching code with configurable context lines, and reading specific file slices to reduce data sent to AI models.

To search for a function name in a directory and show context lines, use the token-efficient code search feature, which allows you to find patterns within your codebase and configure the number of context lines displayed.

Yes, you can automatically select relevant files for AI-driven context building using the context builder feature, which manages workspace selections to facilitate AI tasks and complex command chaining operations.

The best way to read specific file slices to minimize token usage is through selective file reading, which allows you to target and extract only the essential line ranges of a file instead of loading the entire document.

Yes, repoprompt supports command chaining for complex codebase operations, allowing you to link multiple commands together to perform sequential analysis and AI-driven context building tasks efficiently.