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To understand an unfamiliar codebase, you can ask specific questions about code functionality, definitions, usage, or tests. The system analyzes your question's complexity and orchestrates parallel exploration agents to gather information, synthesizing their findings into a comprehensive answer with specific file path references.

Parallel codebase exploration is a mechanism that launches multiple agents simultaneously to investigate different facets of your code. It analyzes your inquiry to determine complexity, assigns specific search directives and directory scopes to each agent, and then synthesizes the diverse findings into a single consolidated response.

You can find function definitions and associated tests by submitting an inquiry about the specific function. The system will launch parallel exploration agents to search for the function's purpose, its usage locations, and its tests, then synthesize this data into a detailed answer referencing the exact file paths.

Yes, the system uses parallel exploration agents with specific search directives that include search directory scope. By analyzing your question, it determines the necessary complexity and targets specific directories to gather relevant information efficiently before synthesizing the results.

The best way to query a complex codebase is using parallel AI agents to explore different code facets simultaneously. This approach gathers diverse information through multiple agents with specific search directives, synthesizing their findings to provide comprehensive answers that reference specific file paths.

The system relies on orchestrating parallel exploration agents to provide comprehensive answers for code understanding. While it synthesizes findings from various agents and references specific file paths, the depth of the answer depends on the agents' ability to gather information based on the determined complexity of the user's inquiry.