Worked on the HKUDS/Vibe-Trading repository to enhance dependency management and ensure long-term stability of analytics workflows. Focused on Python-based data processing, the developer introduced a feature that pins pandas version constraints to the >=2.0.0,<3.0.0 range in both requirements.txt and pyproject.toml. This approach proactively guards against breaking changes in future pandas releases, reducing runtime risk and simplifying support for downstream users. By consolidating version constraints across packaging files, the work improved maintainability and release hygiene. The month’s efforts centered on preventive engineering, emphasizing dependency hygiene and compatibility rather than reactive bug fixes or new feature development.