clark

Vocabulary drift and coherence gaps are detected by comparing repository usage against established ADRs, lexicon, and governance rules. This process identifies misalignment, generates risk signals, and provides concrete wording changes to enforce consistency and framework integrity.

Architectural vocabulary enforcement prevents term misalignment by checking codebase terminology against a defined lexicon. You need it during ADR reviews and governance discussions to capture authoritative rulings, maintain long-term vision alignment, and provide strategic architecture guidance.

Decision logging and ADR considerations improve framework consistency by capturing authoritative architectural rulings. You apply them during governance discussions to identify coherence gaps, receive risk signals, and implement suggested wording changes that keep components aligned with long-term vision.

Yes, concrete recommendations and risk signals for architectural misalignment are generated independently without external dependencies. The system analyzes your repository against ADRs and lexicon rules to provide suggested wording changes and coherence gap identification directly.

The best way to review architecture for vocabulary and governance alignment is querying with architectural judgment questions. This triggers drift detection against governance rules and ADRs, yielding risk signals, coherence gap identification, and suggested wording changes for framework integrity.

Automated lexicon enforcement should not be used when a repository lacks established ADRs or defined governance rules to compare against. Without these foundational references, the system cannot accurately identify coherence gaps or generate meaningful vocabulary drift recommendations.