testing

To prevent blind reliance on mocks during software testing, use an evidence-first workflow that prioritizes real dependencies. This approach ensures tests validate actual production behavior rather than just verifying interactions with test doubles.

A stage-based testing workflow requires routing through an initial stage to determine the needed evidence and appropriate test level before writing tests. This discipline ensures structured, evidence-first decisions across pure logic, integration, and glue code.

You should use test doubles in quality assurance only when real dependencies are impractical to verify, documenting these exceptions explicitly. This ensures the testing approach remains evidence-first and prevents mocks from masking production behavior failures.

You apply property-based testing for complex algorithms by defining invariant properties across applicable domains like parsers, math, and serialization. This stage-guided approach validates a wide range of inputs rather than relying on isolated example-based tests.

The best way to validate pure logic versus integration code is applying level-based testing decisions within an evidence-first workflow. This ensures tests prove production behavior across pure logic, integration, and glue code without defaulting to unnecessary mocks.