testing-patterns

Scalable testing patterns standardize test structures, mock strategies, and coverage targets across unit, integration, and E2E suites. This enforces reliability and maintainability for critical application modules like campaigns, warmup engines, and email sending.

Mocking AI generation and core services in integration tests requires standardized mock strategies and realistic test data generation. This ensures end-to-end coverage for critical user journeys remains reliable without relying on live external dependencies.

Yes, the testing framework specifies tooling for Jest, Supertest, and Playwright to cover unit, integration, and E2E tests. It applies standardized patterns across these tools to scaffold test suites and apply mocks for core services.

Code coverage targets are enforced by applying standardized testing patterns and quality guidance across modules. Specifying coverage thresholds for warmup engines, email sending, and AI components ensures platform reliability and maintainability.

Yes, you can run the testing patterns to quickly scaffold a new test suite and apply mocks for core services. This provides fast, repeatable unit tests and realistic data for integration and E2E coverage.

Use integration testing with mocked services to verify email sending module APIs, and E2E testing with Playwright for critical user journeys. Standardized patterns ensure both test types provide realistic data and reliable coverage.