testing-anti-patterns

To identify flaky tests and order dependence, scan your test suite to detect anti-patterns with file:line references. It classifies issues by severity and impact, providing before/after examples and concrete fixes to improve test reliability across Go, Python, and JavaScript.

Common test anti-patterns include over-mocking, brittle tests, and weak assertions. You can fix weak assertions by applying the provided before/after examples and concrete fixes, which guide incremental refactoring to improve test quality without completely rewriting your test suites.

Yes, this test anti-pattern detection works with Go, Python, and JavaScript test suites. It applies to unit, integration, and end-to-end tests, focusing on identifying flaky tests, order dependence, weak assertions, and other defined anti-patterns across these languages.

Yes, you can incrementally refactor over-mocked and brittle tests without rewriting the entire suite. It supplies cross-referenced guidance for safe, incremental improvements, allowing you to target and fix the highest-impact issues first while maintaining existing test suite structure.

You should not use a test anti-pattern scanner when writing new tests from scratch, refactoring architecture, or performance profiling without a specific test quality symptom. It is designed specifically for identifying and fixing existing test mistakes like flaky, brittle, or over-mocked tests.