Worked on enhancing automation reliability in the updatecli/updatecli repository by developing a robust YAML change-detection mechanism using Go. Focused on configuration management and YAML processing, the solution compared semantic values rather than raw representations, effectively distinguishing between changes such as string and number types. This approach prevented unnecessary updates and reduced downstream churn in YAML-driven update flows. Comprehensive tests were added to cover various data types and string formats, ensuring regression-free behavior and stable automation. The work emphasized careful testing and thoughtful logic improvements, resulting in clearer change signals for deployments and more efficient update processes within the project.