quality-patterns

The 10 anti-patterns provide clear BAD/GOOD contrasts to train developers on best practices, covering issues like inadequate mocking and lack of independence. Applying these testing standards helps teams avoid common quality mistakes when writing and reviewing tests.

To apply testing standards during a code review, check the code against explicit test validity criteria: exercises real code, asserts meaningful outcomes, fails when behavior is broken, and maintains test isolation. Use the BAD/GOOD contrasts to identify and remediate quality gaps.

Yes, these test quality patterns are applicable across test creation, code reviews, pull requests, and CI workflows for languages like Python and TypeScript. They enforce concrete universal criteria to ensure tests remain independent and reliable.

The best mocking guidelines to reduce CI flakiness involve applying practical patterns that ensure tests exercise real code under test while maintaining independence. These universal standards provide concrete criteria to improve reliability and maintainability.

Unit tests meet test validity criteria if they exercise real code under test, assert meaningful outcomes, fail when behavior is broken, and maintain test isolation. Reviewing the 10 anti-patterns helps validate your suite against these universal standards.