What if the legacy code is so bad that the AI cannot figure out what it does?

In rare cases of extreme spaghetti code, the AI might get confused. You must use 'AI Rubber Ducking'. Prompt the AI to trace the execution line-by-line and explain its understanding back to you BEFORE it writes the tests.

Can I use AI to refactor code from one language to another (e.g., Python to TypeScript)?

Yes, this is one of the most powerful use cases for LLMs. You write the tests in the target language (TypeScript), and then command the AI to translate the Python logic into TypeScript until the tests pass.

Why should the main function signature remain identical?

If you change the inputs/outputs of the main function, you will break every other file in the system that calls it. The refactoring must happen internally (under the hood) while maintaining the exact same external API.

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Practical Exercise: Refactoring

Test your architectural skills. Practice generating AI-driven safety nets (tests), enforcing the Single Responsibility Principle, and translating cryptic legacy syntax into self-documenting code.

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