explore

Autonomous codebase exploration is enabled by directing AI agents to navigate your code and retrieve specific information. Agents perform read-only exploration using absolute paths and manage session IDs to locate implementation patterns and architectural relationships.

To find where a specific function is located, you can use AI information retrieval to search the codebase. The agent autonomously navigates the file structure, identifies exact file locations, and reports back the relevant code snippets without manual searching.

Yes, autonomous code search allows AI agents to search and understand implementation patterns and data flow. Agents perform read-only exploration to map architectural relationships and provide a concise report on how specific features are implemented.

Codebase navigation requires strict path rules using absolute paths and manages session IDs for tracking. This ensures the AI agent performs accurate read-only exploration without modifying the underlying code structure during information retrieval.

Automating information retrieval from an unfamiliar codebase is best achieved through autonomous exploration. This allows AI agents to independently search the code structure, locate specific code segments, and deliver a concise report without manual intervention.

Read-only codebase exploration is limited to retrieving information and navigating file structures. It cannot modify, refactor, or execute code, meaning agents can only locate code segments, identify data flow, and report architectural relationships without making changes.