Summary
In this module, you learned how to review AI-generated Python code for incorrect information, inefficiencies, security risks, and edge cases.
You can apply a structured review process to verify that functions exist, test normal and unusual inputs, evaluate performance with realistic data, and check security and error handling. By reviewing generated code and its unit tests, you can make informed decisions about whether a solution meets your requirements before you use it in production.