domain-modeling

Generating a domain model glossary involves extracting entities, attributes, and relationships from project requirements to produce a central `glossary.md` file. This establishes a single source of truth for project vocabulary and prevents naming conflicts.

Protected terms in domain modeling are critical vocabulary words designated as immutable to prevent renaming conflicts. They ensure stability by locking in core concepts so they are never accidentally renamed during development.

Yes, you can generate an entity-relationship diagram from conversation transcripts. The process extracts entities and relationships from the transcripts and outputs a Mermaid ER diagram to visually map your domain model.

The best way to establish naming conventions is to build a canonical domain model that defines core concepts and their relationships. Creating a central glossary ensures all team members and AI agents share a consistent vocabulary.

To resolve ambiguous terms in your project domain model, extract and map entities from your requirements to establish a canonical vocabulary. This process addresses ambiguous terms directly and locks in definitions within a shared glossary.

You need a domain model before starting software development to ensure all team members agree on core term meanings. Defining terms like "Customer" and "Order" early prevents naming conflicts and establishes a single source of truth.