CodeQUEST introduces a framework that leverages GPT-4o to systematically analyze and improve code quality through iterative refinement.

• Dual-component system: Evaluator assesses code across ten quality dimensions while Optimizer iteratively enhances code based on feedback
• Comprehensive assessment: Addresses readability, maintainability, efficiency, and security concerns with both quantitative scores and qualitative insights
• Security focus: Proactively identifies vulnerabilities and enforces secure coding practices during the optimization process
• Practical engineering impact: Streamlines software development by automating quality control, reducing technical debt, and ensuring more secure codebases

On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o