Testcontainers Integration Tests

What it does

This skill enables AI agents to execute integration tests using Testcontainers, allowing for the dynamic provisioning of isolated Docker containers during test execution. It ensures that tests run against real database instances or other services rather than mocks, validating application behavior in a production-like environment.

When to use it

• Validating complex data flows that require persistent storage and external service dependencies.
• Running end-to-end scenarios where mocking infrastructure leads to unreliable or incomplete test coverage.
• Ensuring compatibility between your .NET application and specific database versions before deployment.
• Automating CI/CD pipelines to catch environment-specific bugs early in the development cycle.

Key capabilities

• Dynamic startup and teardown of Docker containers specifically for testing purposes.
• Provisioning of real database instances (e.g., PostgreSQL, MySQL) within isolated environments.
• Execution of integration test suites without requiring manual infrastructure setup.
• Support for .NET projects utilizing the Testcontainers library.

Example prompts

• "Run my integration tests using Testcontainers to spin up a temporary PostgreSQL instance."
• "Execute the full test suite in an isolated Docker environment to verify database connectivity."
• "Set up a test environment with a real Redis container and run the application's background job tests."

Tips & gotchas

Ensure your AI agent has access to Docker and appropriate permissions, as Testcontainers requires a running Docker daemon. Be aware that integration tests using real containers are significantly slower than unit tests, so they should typically be excluded from frequent commit checks in favor of nightly builds or dedicated CI stages.