codebase-scan

To understand existing code patterns before making changes, scan the codebase to extract the programming stack, relevant file areas, naming conventions, and dependency maps. This reconnaissance outputs concise architectural context, preventing duplicated effort and inconsistencies during feature development.

You need to perform codebase reconnaissance at the start of feature or fix development, when entering unfamiliar code, or when analyzing a project. Scanning the affected area outputs stack details, test setups, and architectural concerns to prevent costly mistakes.

The best way to analyze project structure and dependencies before adding a feature is to scan the target area. This identifies the overall layout, framework, and dependency mappings, outputting concise context about existing patterns and test conventions to guide your modifications.

Yes, you can map dependencies without reading the entire codebase by performing area-specific reconnaissance. Scanning focuses on the affected section to determine what the target area depends on and what depends on it, outputting concise dependency context.

Codebase analysis prevents coding convention inconsistencies by scanning the target area to identify existing patterns and architecture before changes are made. It outputs concise context including naming conventions and relevant dependencies, avoiding duplicated effort and structural mistakes.

AI agents duplicate effort when modifying unfamiliar code sections because they lack existing architectural context. Scanning the codebase beforehand identifies current patterns, conventions, and dependencies, outputting the necessary context to avoid inconsistencies and redundant work.