linguistic-boundary-verifier

To detect ubiquitous language leakage across bounded contexts, you need to scan module code for foreign string literals, reversed event flows, and misdirected API calls. This process maps module vocabulary using language.md files to identify hidden coupling that standard dependency tools miss.

Standard architecture review misses coupling between DDD bounded contexts because ubiquitous language leakage often takes the form of foreign string literals, event language, or misdirected API calls that do not appear in import graphs. Dedicated linguistic analysis is required to catch these hidden dependencies.

To fix language leakage from foreign string literals, you should apply behavior generalization to abstract the specific foreign terms. This restores proper linguistic isolation by ensuring the module relies on generalized behaviors rather than external vocabulary.

Yes, you can check a single microservice pull request for bounded context consistency by auditing the module's language.md file. This verifies that new code changes align with the module's defined ubiquitous language and do not introduce foreign concepts.

The best way to prevent reversed event language flow in a modular software system is to implement ACL translation. This translates external event vocabulary into the local ubiquitous language, ensuring proper linguistic isolation and preventing hidden coupling at integration points.

You need dependency inversion to fix misdirected API calls between bounded contexts when a module directly invokes another module's API using foreign vocabulary. Dependency inversion restores proper linguistic isolation by reversing the dependency direction and abstracting the integration points.