flow-next-rp-explorer

You can explore a large codebase token-efficiently by mapping its structure and searching for relevant files instead of reading every line. This approach uses tree, structure, and search commands to surface only the necessary context.

Locating authentication logic across a repository is best achieved through targeted codebase exploration. By using search and context commands, you can rapidly trace data flow and discover relevant files without manually scanning directories.

To trace data flow for debugging, you map the codebase structure and search for specific function calls or variables. This token-efficient discovery surfaces the relevant files and context needed to understand execution paths quickly.

Yes, you can map API endpoints without reading every file by using structure and search commands. This method identifies routing definitions and endpoint handlers across the repository, providing rapid situational awareness while minimizing token usage.

Codebase exploration with rp-cli works well for sprint planning and onboarding by providing AI-assisted file selection and rapid context export. It efficiently maps repository structure to help developers gain situational awareness quickly.

You should use token-efficient codebase exploration instead of reading files directly when dealing with large repositories where understanding structure and relationships quickly is critical. It prevents token overload by surfaceing only relevant context for tasks like debugging or onboarding.