leo.tseng

Description

The project aims to explore how to design effective system messages and prompts tailored for AI-driven code refactoring tasks. By refining these prompts, we can guide AI models to better understand code structure, identify improvement opportunities, and execute refactorings with minimal manual intervention. The project will delve into creating system messages that balance technical detail with flexibility, enabling AI to perform refactorings that maintain code functionality while improving readability, efficiency, and maintainability.