test-hunter-go

To find missing coverage in Go test suites, analyze your test files to detect untested error paths and critical gaps. This surfaces coverage holes and missing edge cases, providing concrete guidance to add targeted tests for improved reliability.

Go unit tests often fail during refactors due to over-coupling to implementation details and brittle assertions. Analyzing the test suite detects this excessive coupling and flaky patterns, guiding you to clean test debt and reduce false positives.

Yes, you can detect race conditions and edge cases in Go integration tests by analyzing the test files. The process identifies misused table-driven tests and untested edge cases, offering concrete evidence to fix flaky patterns and improve test effectiveness.

The best way to reduce test-setup duplication is to analyze Go test suites to surface flaky patterns and duplicated setups with concrete evidence. This detects brittle tests and excessive mocking, helping clean test debt and improve overall reliability.

No specific dependencies are required to analyze Go test quality and code coverage. The process works directly by analyzing Go test files to identify weak assertions, coverage gaps, and implementation-coupled tests without needing external components.