new-feature-checklist

Validate fake data consistency by confirming generated data reflects valid system states, respects model constraints, and adheres to business logic. This ensures fake data creation aligns with real-world scenarios across backend and frontend layers.

Comprehensive test coverage is ensured by guiding the creation of unit, integration, and end-to-end tests. This approach validates new functionality across backend and frontend layers to guarantee robust development workflows.

Plan and create tests by enforcing standards for test creation and validation during development workflows. This guides writing unit, integration, and E2E tests to verify new functionality and update user flow documentation.

Fake data generation fails when generated data does not respect model constraints or adhere to business logic. Validating fake data consistency confirms that data reflects valid system states and aligns with business rules.

Updating user flow documentation is required when adding test coverage for new features. Enforcing standards for validation and documentation updates in development workflows ensures quality and comprehensive coverage.

Test coverage validation is applicable across both backend and frontend layers. It ensures robust, real-world scenarios are tested by validating fake data consistency and guiding various test types for new feature development.