用AI编写单元测试

让AI生成您的测试套件。一个实用的工作流程,用于编写真正能捕获错误的测试,而不仅仅是提升覆盖率数字。

3 steps
codingdeveloper-tools
1

在编写代码之前列出所有测试用例

在编写任何测试代码之前,让AI列出函数的每个测试用例。这会揭示您可能遗漏的边界情况。

Example prompt
List all test cases I should write for this function. Include: happy path scenarios, edge cases (empty input, null, zero, negative numbers, max values), error cases (invalid input, exceptions), and boundary conditions. Do not write test code yet — just list the cases. Function:

[PASTE FUNCTION]
2

从用例列表生成测试代码

现在将用例列表传回AI,让它编写实际的测试代码。检查每个测试的正确性——AI有时会反转断言。

Example prompt
Write [JEST/PYTEST/VITEST/etc.] unit tests for the following function, covering all these test cases: [PASTE CASE LIST FROM PREVIOUS STEP]. Use descriptive test names. Mock external dependencies. Include setup/teardown if needed. Function:

[PASTE FUNCTION]
3

让AI找出现有测试中的空白

粘贴您现有的测试文件和源代码。让AI找出哪些场景未被覆盖,以及什么还可能出错。

Example prompt
Review my existing tests against the source code and identify: 1) Test cases that are missing, 2) Tests that test the wrong thing or have incorrect assertions, 3) Code paths that are not covered, 4) Scenarios that could break in production but are not tested. Source:

[PASTE SOURCE]

Existing tests:

[PASTE TESTS]
Ready to try AI/ML API?
Follow this playbook with the actual tool
View Tool