code-testing

Unit tests with 80% coverage validate that your code behaves as specified. This Skill generates tests for pytest and Jest projects, integrating coverage measurement tools to track what code paths are tested and identify gaps, ensuring robust regression safety.

This Skill supports pytest for Python and Jest for JavaScript separately within the same codebase. Each framework runs independently on its language; you can apply TDD workflows and mocking strategies across both simultaneously to maintain consistent coverage targets.

TDD writes failing tests first, then implements code to pass them. This Skill generates test scaffolding with pytest fixtures and Jest mocks for both synchronous and asynchronous operations, providing descriptive naming and mocking strategies to ensure reproducible, maintainable test results.

Unit tests validate individual functions or components in isolation; integration tests verify that multiple components work together correctly. This Skill generates both types for pytest and Jest, applying appropriate fixtures and mocks to catch regressions at each level.

Coverage measurement requires pytest-cov for Python projects and Jest's built-in coverage reporter. This Skill integrates with both to generate detailed coverage reports and track progress toward 80%+ targets, though the test generation itself works without them.

Asynchronous operations in JavaScript and Python require special test handling. This Skill uses pytest-asyncio for async Python tests and Jest's native async support, generating proper test scaffolding so async functions resolve correctly and coverage remains accurate.