corner-case-management

To isolate edge-case documents, you can register them in a structured corner_cases.json registry with detection patterns and resolutions, keeping the main workflow clean by routing exceptions to a cold path.

Tracking rare edge cases involves logging them in a documentation registry with fields like description, detection_pattern, resolution, discovered_at, iteration, and status to ensure full traceability and repeatability.

You should use a separate edge-case registry when iterative testing reveals rare cases and patching the main workflow becomes too costly, applying lazy loading with high retrieval thresholds instead.

Lazy loading in edge-case management means the main workflow attempts regular processing first, only triggering the corner_cases.json registry to execute edge processing when a strong match is detected.

Yes, registered edge cases support an evolution cycle where their status can be updated to promoted for main workflow integration or deprecated, while recording the version changes for traceability.

No specific dependencies are required; edge-case management relies on a structured JSON registry within your assets directory to maintain compliance traceability and document versioning without external tools.