vp-s04-entity-model

Mapping entity relationships involves analyzing data entities and modeling patterns to reveal the data layer architecture. This process locates entity definitions and audits patterns to align domain models and update your mental model.

Entity pattern auditing identifies structural modeling patterns like versioning and inheritance within data entities. It ensures consistent domain-model alignment by revealing how entities relate and depend on each other across the architecture.

Yes, this entity model analysis applies across Python, TypeScript, and Rust domains. It enables consistent relationship mapping and domain-model alignment for workflows within these specific programming environments.

To locate entity definitions, load SCIP indexes to analyze code structure. This locates the data entities, maps their dependencies, and applies relationship mapping to update your mental model of the architecture.

Yes, you can visualize entity dependencies and prepare for interface analysis. Mapping relationships and updating the mental model with data layer architecture directly prepares you for downstream interface analysis workflows.