cody-information

To define data schemas and UI configurations for low-code event sourcing read models, you create detailed specifications for Cody Engine information elements. This process streamlines development of structured and queryable modules by specifying entity metadata, dynamic views, and event-sourced projections.

The best way to set up query filters and role-based security in a low-code platform is by defining query logic with complex filtering rules and security considerations. This ensures validation and role-based access control across your structured information modules.

Yes, you can use YAML to generate entity metadata for event-sourced projections. Creating a YAML specification for an entity with schema, UI, and query resolver serves as a starting template to quickly establish consistent, detailed metadata.

You configure table columns and form widgets for low-code application views through UI configuration specifications. This provides presentation details and view customization to ensure consistency and reusability across your dynamic application interfaces.

You need to specify nested objects and enums in data schemas when designing complex data structures for entities and lists. This schema design step ensures your structured information modules accurately represent hierarchical data and constrained values.

Yes, Cody Engine supports declarative projections for event-sourced read models. This projection setup facilitates event-sourced read models by establishing declarative projections that ensure consistency across your queryable information elements.