Cory Kind contributed to the code-dot-org/code-dot-org repository by building analytics instrumentation and enhancing data replication pipelines over a two-month period. He developed level-based user engagement tracking for dashboards, introducing new data models and export mechanisms to support granular analytics. Using YAML and leveraging skills in data engineering and database management, Cory enabled targeted product insights and coaching improvements through scalable instrumentation. He also extended DMS replication to include Measures of Learning data, adding tables for learning goals, skills, and student work evaluations. Cory’s work focused on robust feature delivery, laying a strong foundation for comprehensive analytics and reporting.