AI Unit Test Generator

Build a tool that reads a function or module and automatically generates comprehensive unit tests. Cover happy paths, edge cases, and error scenarios, with output compatible with Jest, Vitest, or pytest.

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Objectives

Accept a function or module as input with language detection
Analyze function signatures, parameters, and return types
Generate test cases covering normal, edge, and error scenarios using an LLM
Output tests in the chosen framework format (Jest, Vitest, or pytest)
Display test coverage summary and allow users to edit generated tests

Hints

Include the function source and any type definitions in the LLM prompt
Ask the LLM to think about boundary values and null/undefined cases
Use a code editor component for reviewing and editing generated tests

Resources

vitest.dev/guide

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