Developed an Error Message Metadata Framework for Breaking Changes in the apache/spark repository, focusing on standardizing how breaking changes are communicated to users. The solution attaches structured metadata to error messages, providing migration guidance and mitigation configurations directly within Spark’s error handling flow. Leveraging Java, Python, and Scala, the framework enables downstream tools to surface actionable upgrade steps, reducing friction for both users and operators during version transitions. This work established a foundation for consistent messaging around breaking changes, aiming to streamline upgrades and decrease ongoing support overhead by making critical information more accessible and actionable within the Spark ecosystem.