5 steps · 119 min · Intermediate
ChatGPT Code Quality
Move from understanding a small code sample to diagnosing, testing, reviewing, and refactoring it without treating AI output as proof.
Best for: Developers and technical learners using ChatGPT with synthetic or approved code.
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Trace what the code does
How to Explain Code With ChatGPT Using an Execution Trace
Follow a real ChatGPT code-explanation exchange from a filled-in prompt to local checks and a teach-back correction, then trace generators, input mutation, and a missing helper.
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Diagnose one reproducible failure
How to Debug Code With ChatGPT Without Guessing
Use ChatGPT to diagnose a Python exception or silent wrong result, then run original and corrected cases to check the repair.
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Turn the contract into executable tests
How to Write Unit Tests With ChatGPT That Catch Real Bugs
Write unit tests with ChatGPT from a clear behavior contract, run them, and check whether they fail for wrong results or unwanted service calls.
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Review a bounded change before release
How to Review Code With ChatGPT Before You Ship
Use a complete ChatGPT review packet, reproduce SQL injection and authorization failures, test a separate pagination regression, and decide what still needs integration checks.
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Reduce complexity without changing behavior
How to Refactor Code With ChatGPT Without Changing Behavior
Use ChatGPT for a bounded code refactor, test a complete Python example, diagnose a failing candidate, and carry the checks into a real project.