context-analyzer

Project context analysis scans your codebase to map existing artifacts, extract metadata, and trace relationships between components. It identifies coverage gaps by comparing what's documented against what exists in your project structure, helping you prioritize missing documentation.

Structure scanning builds a context model containing artifact inventory, metadata, and traceability relationships. This includes file locations, component dependencies, upstream references, and connections between artifacts—essential inputs for creating consistent documentation.

Yes. Context analysis evaluates your current documentation against project structure and traceability metadata, surfacing inconsistencies, orphaned artifacts, and missing links. This assessment informs what new documentation you need and where coverage is weak.

After context analysis generates a model of your project's structure and relationships, you can create new artifacts grounded in that model. The traceability data ensures new documentation maintains links to source components and upstream dependencies, preventing disconnects.

Context analysis automates artifact discovery and relationship mapping across your entire project, producing structured metadata in one pass. Manual audits are incomplete and slow; automated scanning reduces duplication, surfaces gaps systematically, and creates a reusable model for ongoing documentation tasks.