Unit Test Generator
Generate comprehensive unit tests with edge cases, error handling, mocking strategies, and full coverage — for Jest, Pytest, JUnit, and more.
Your Unit Test Generator results will appear here
Como Usar Unit Test Generator
- Paste the complete function, class, or module you want to test — include type annotations and dependencies for better test generation.
- Select your programming language and testing framework to get framework-specific syntax and patterns.
- Choose a coverage focus: 'Happy Path' for quick validation, 'Full Coverage' for comprehensive test suites with edge cases and error handling.
- Copy the generated test file into your project and run it — all imports and setup are included.
Casos de Uso
Generate a complete Jest test suite for a React utility function or hook
Create Pytest tests with fixtures and parametrize decorators for Python modules
Build JUnit 5 tests with MockitoExtension for Java service classes
Produce table-driven Go tests for data processing functions
Generate PHPUnit tests for Laravel controllers and service classes
Dicas para Melhores Resultados
- Include the function's dependencies (imports, interfaces) in your code snippet — this helps the generator create accurate mock setups.
- For async code, mention it in your description or include async/await keywords — the generator will add proper async test patterns and timing assertions.
- Use 'Full Coverage' for critical business logic (payments, authentication, data validation) and 'Happy Path' for utility functions.
- The generated tests use parameterized/table-driven patterns where applicable — this covers more scenarios with fewer lines of test code.
Perguntas Frequentes
Can it generate tests for async functions?
Yes. If your code contains async/await, Promises, callbacks, or observables, the generator creates async test cases with proper await patterns, timeout handling, and assertion timing. For Jest, it uses async/await with expect().resolves and expect().rejects.
How does it handle mocking?
The generator identifies external dependencies (API calls, database queries, file system operations) and creates appropriate mocks. For Jest: jest.mock() and jest.fn(). For Pytest: unittest.mock and @patch. For JUnit: Mockito @Mock and when().thenReturn(). Only necessary dependencies are mocked.
What is AAA vs BDD test style?
AAA (Arrange-Act-Assert) organizes each test into setup, execution, and verification phases. BDD (Given-When-Then) uses natural language descriptions (given a user, when they log in, then they see the dashboard). Both produce the same test logic with different organizational styles.
Does it generate parameterized tests?
Yes. When a function accepts multiple input variations, the generator uses parameterized tests: Jest's test.each(), Pytest's @pytest.mark.parametrize, JUnit's @ParameterizedTest, and Go's table-driven test pattern. This covers more scenarios with less code.
Can I test a whole class with multiple methods?
Yes. Paste the entire class and the generator creates a test suite with describe/context blocks for each public method, including setup/teardown for shared dependencies like constructor initialization.
Are the generated tests ready to run?
Yes. The output includes all necessary imports, mock setups, and test configurations. Copy the test file into your project's test directory and run it with your test runner. You may need to adjust import paths to match your project structure.
Part of these workflows
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✍️ Prompt Library
Ready-to-use prompts — click "Use This" to auto-fill the tool
Write a Python function that [describe what it does]. Include type hints and a docstring.
Explain this code and suggest improvements: [paste code]
Generate unit tests for the following function: [paste function]
Write a SQL query to [describe what you need] from a table with columns [list columns].
Create a README.md for a [project type] project with installation, usage, and contributing sections.