During October 2025, Xiaolong Sang focused on backend reliability for the phidatahq/phidata repository, addressing a critical bug in the analytics metric pipeline. He resolved a parsing error in the calculate_date_metrics function, which previously caused inaccurate metric calculations across PostgreSQL, MySQL, and SQLite environments. Using Python, Xiaolong validated the fix across multiple databases, ensuring compatibility and accuracy for analytics dashboards. His work emphasized robust data processing and code quality, incorporating formatting, validation scripts, and self-review aligned with CI checks. Collaborating with cross-functional teams, he reinforced the reliability of data-driven decision-making by maintaining consistent metrics across diverse database utilities.