During March 2026, Zi Q. Cheng focused on enhancing the robustness of streaming data handling in the badlogic/pi-mono repository. He addressed a reliability issue in OpenAI completion streams by ensuring that only valid object chunks were processed, effectively ignoring null or non-object data to prevent runtime errors. This solution involved strengthening data validation and expanding automated test coverage, particularly around edge cases in the AI streaming pipeline. Working primarily with TypeScript and leveraging his skills in AI integration and testing, Zi Q. Cheng’s work improved the stability of production streaming workflows and laid a foundation for safer future enhancements.