Qodo-Cover is an AI-driven tool designed to automate test generation and enhance code coverage, streamlining the testing process for developers. With its advanced capabilities, it helps ensure software quality and reliability efficiently.
claude install qodo-ai/qodo-coverQodo-Cover is an AI-driven tool designed to automate test generation and enhance code coverage, streamlining the testing process for developers. With its advanced capabilities, it helps ensure software quality and reliability efficiently.
Automate the creation of unit tests for newly developed features to save time and reduce errors.
Enhance code coverage metrics in legacy projects by identifying and testing previously untested code paths.
Integrate Qodo-Cover with CI/CD pipelines to ensure continuous testing and immediate feedback on code changes.
Quickly identify areas of code that lack sufficient test coverage, allowing for targeted improvements.
claude install qodo-ai/qodo-covergit clone https://github.com/qodo-ai/qodo-coverCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a comprehensive test suite for a [COMPANY] application in the [INDUSTRY] sector. The application is built using [PROGRAMMING_LANGUAGE] and handles [DATA] operations. Ensure the tests cover edge cases, typical user flows, and error handling scenarios. Provide the tests in a format compatible with [TEST_FRAMEWORK].
# Test Suite for [COMPANY] Application ## Edge Cases - **Empty Input Handling**: Verify the application correctly processes empty inputs for [DATA] operations. - **Null Value Handling**: Ensure the application handles null values gracefully during [DATA] operations. ## Typical User Flows - **User Registration**: Test the registration flow from start to finish, including validation of required fields. - **Data Retrieval**: Verify the application can retrieve [DATA] from the database and display it correctly. ## Error Handling Scenarios - **Database Connection Failure**: Simulate a database connection failure and verify the application handles it appropriately. - **Invalid Input Handling**: Test the application's response to invalid inputs during [DATA] operations. ## Test Framework Compatibility The tests are written in [TEST_FRAMEWORK] and can be executed using the following command: ```bash [TEST_FRAMEWORK] run tests/[COMPANY]_application_tests.py ```
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