The Art of Refactoring AI Code
Part of the Vibe Coding course
AI-generated code has a recognisable signature: it works, and it is a little worse than it needs to be. Functions that do three things. The same three lines repeated in two places. Variables called data, result, temp, x. A condition that could be one clause instead of four. Any one of those is harmless.
Refactoring means changing the internal structure of code without changing what it does when viewed from outside. Same inputs, same outputs, better insides. Rearranging a kitchen so the pans are next to the stove does not change the menu; it changes how long it takes to cook. ...
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Start this lessonThe Art of Refactoring AI CodeWhat you'll learn
- Why AI code needs refactoring
- Behavior-preserving changes
- Naming and extracting functions
- Tests as a safety net for refactoring
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All lessons in this course
12 lessons- 1The Vibe Coder Mindset20 min
- 2Tools of the Trade: Setting Up for Success25 min
- 3Prompt Crafting: Talking to AI Like a Pro30 min
- 4From Autocomplete to Architecture30 min
- 5Debugging with AI: When It Breaks, Fix It Fast30 min
- 6The Art of Refactoring AI Code30 min
- 7Performance, Scaling, and Reliability30 min
- 8Building Full Systems with AI40 min
- 9Team Vibes: Collaborating with AI and Humans30 min
- 10Vibe Coding in the Real World: Projects, Clients, and Legacy Code35 min
- 11Staying Sharp: Learning, Adapting, and Leveling Up25 min
- 12The Future of Code and Where You Fit In25 min
