During February 2025, contributed to the hpi-sam/ASE-GenAI repository by developing a Bug Analysis Data Repository designed to enhance bug triage and remediation workflows. The work involved creating and standardizing CSV datasets that document bug explanations, potential fixes, and code quality metrics for various programming challenges. Leveraging skills in bug analysis, code review, and data analysis, the developer ensured that the new data assets support both manual and machine learning-driven quality assurance. The implementation, primarily using Java and CSV, focused on traceability and reproducibility, laying a foundation for more effective bug analysis and data-driven problem solving within the project.