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PROMPT

Generate Unit Tests

Generate comprehensive test suites with edge cases, mocks, and clear test naming from any function or class.

TARGET QUERY ai write unit tests prompt · ~6K/mo
CATEGORY
Coding
DIFFICULTY
Intermediate
UPDATED
2026-05-17
TAGS
testingunit-testsTDDcoverage
PROMPT DETAILS Updated 2026-05-17

The Prompt

Generate a comprehensive unit test suite for the following code. Follow these rules:

1. **Naming:** Use descriptive test names: `test_[method]_[scenario]_[expected_result]`
2. **Coverage:** Include tests for:
   - Happy path (normal inputs)
   - Edge cases (empty, null, boundary values)
   - Error cases (invalid inputs, exceptions)
   - State transitions (if applicable)
3. **Structure:** Use Arrange-Act-Assert pattern
4. **Mocking:** Mock external dependencies, never real APIs/DBs
5. **Independence:** Each test should run independently, no shared state

Use [FRAMEWORK] testing framework. Add brief comments explaining WHY each edge case matters.

Here's the code to test:
[PASTE CODE]

How To Use It

Replace [FRAMEWORK] with your testing library (pytest, Jest, JUnit, etc.) and paste the code. For best results, also mention what the code’s callers expect so the AI can test the contract, not just the implementation.

Why It Works

The explicit coverage categories ensure the AI doesn’t just test the happy path. The naming convention forces clarity about what each test verifies, and the Arrange-Act-Assert structure keeps tests readable.

Variations

Integration test generator:

Write integration tests that verify this module works correctly with its real dependencies. Focus on data flow between components, not internal logic.

Property-based test generator:

Write property-based tests for this function. Identify invariants that should hold for ALL valid inputs, then express them as properties.

Regression test from bug report:

This bug was reported: [description]. Write a failing test that reproduces the bug, then show me the minimal fix that makes it pass.