golang-testing

Table-driven tests in Go use a struct slice to define input cases and expected outcomes, iterating through them to execute assertions. This pattern minimizes boilerplate while maximizing test coverage across varied functional scenarios.

Fuzzing with testing.F automatically generates random inputs to validate input handling and resilience in Go. It exposes edge cases and unexpected panics that manually crafted test cases might easily miss during standard test execution.

Benchmarks using testing.B measure Go performance by repeatedly executing target functions to gather timing and allocation data. This approach guides code optimizations and provides empirical evidence for performance improvements.

Parallel subtests using t.Run organize and speed up Go test suites by executing independent test cases concurrently. Calling t.Parallel() within subtests safely distributes workload across available CPU cores.

The RED-GREEN-REFACTOR TDD cycle applies to Go by writing a failing test first, implementing minimal code to pass it, then refactoring. Running go test verifies correctness and measures incremental progress throughout development.

Brittle Go tests and slow feedback loops are fixed by applying proven testing patterns like table-driven tests and parallel execution. Structured testing across unit, benchmark, and fuzzing workflows ensures maintainable and reliable test suites.