intake-router

To find specific code modules and documentation in a repository, you can use natural language queries to locate source files, project docs, and configuration files. This approach streamlines contextual exploration and reduces manual browsing efforts during debugging.

The best way to locate configuration files and tests in a complex codebase is by processing textual prompts that describe your needs. This proactive discovery method identifies relevant project files accurately, supporting efficient architecture reviews and feature discovery.

Yes, you can search for source code by describing a feature like spatial join optimization. By running a text prompt describing the feature, the system processes your query to provide targeted file and documentation recommendations quickly.

Yes, this code and documentation search approach works for GPU kernel discovery tasks. When asked where the code for a GPU kernel is, it quickly identifies the relevant source files and related documentation within the repository.

You need automated file discovery for debugging and architecture review when manually browsing complex repositories becomes inefficient. It automates finding relevant files and documentation, accelerating understanding and providing quick access to related code modules.