experimental-dedup

To find semantic code duplication, you need a scanner that analyzes behavioral fingerprints rather than surface syntax. This approach targets validators, mappers, and domain rules to identify different implementations encoding the same domain meaning, reducing drift and inconsistent behavior.

The best way to detect duplicated domain rules and policy checks is using a phased workflow that runs reconnaissance and candidate discovery. This process surfaces true semantic duplicates and generates concept cards capturing intent, inputs, outputs, and edge cases for auditable review.

To reduce refactoring risk when consolidating duplicated validators and mappers, use a specialist review phase that provides risk-aware recommendations. This ensures safe consolidation or intentional divergence by bounding findings and generating auditable behavioral fingerprints for review.

Semantic duplication detection specifically targets validators, mappers, domain rules, and policy checks rather than arbitrary code structures. It surfaces behavioral fingerprints and concept cards for review, ensuring findings are bounded and auditable through a phased reconnaissance and discovery workflow.

You should not use a semantic duplication scanner when you only need to find textual similarity or surface-level code clones. The scanner is designed for identifying behavioral fingerprints and domain meaning drift, which requires a phased workflow involving reconnaissance and specialist review.