AI Code Analyzer for Bug Detection and Code Quality Analysis

The proposed AI Code Analyzer for Bug Detection and Code Quality Analysis provides an intelligent and efficient solution for improving software quality. By combining Artificial Intelligence, Machine Learning, and static code analysis techniques, the system can automatically detect bugs, analyze code quality, estimate time complexity, identify security vulnerabilities, and generate optimization suggestions. The integration of advanced models such as CodeBERT and CodeT5 enables a deeper understanding of source code and improves the accuracy of bug detection compared to traditional analysis tools. Experimental results demonstrate that the proposed system enhances software reliability, reduces debugging effort, and supports developers in writing secure, maintainable, and efficient code.

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