linguistic-boundary-verifier

Detect language leakage between bounded contexts by analyzing module language definition files to identify foreign string literals, misdirected event subscriptions, and incorrect API call directions. This auditing process catches hidden dependencies that standard architectural tools miss.

Validate ubiquitous language consistency in a single-module pull request by checking newly added concepts against the module's existing linguistic space. This ensures new terms fit generalizations and do not break previously established domain boundaries.

Audit microservices for domain-driven design boundary violations by running cross-module relationship analysis on two or more modules. This generates a detailed report identifying string leaks, event subscription misdirections, and incorrect API dependencies.

You can get fix proposals for ubiquitous language leaks that include behavior generalization for string leaks, anti-corruption layer translation for event leaks, and dependency direction correction for API call leaks. These proposals provide before and after diagrams for actionable refactoring.

Hidden linguistic leakage makes domain-driven design systems hard to refactor because it introduces strict coupling through foreign string literals and misdirected event subscriptions that bypass architectural dependency tools. This undetected coupling degrades system stability over time.

You need module language definition files to check for bounded context violations because the analysis relies on parsing these linguistic definitions to detect foreign concepts. Without these files, the cross-module boundary audit cannot identify leakage.