Developed a runtime-context aware exception classification feature for the apache/spark repository, focusing on improving error handling and debugging efficiency. The work involved enhancing the classifyException function by introducing an isRuntime parameter, enabling the function to distinguish between AnalysisException and SparkRuntimeException based on runtime context. This approach improved code maintainability and clarity, supporting faster identification of issues during Spark job execution. The implementation included targeted code changes, comprehensive tests, and documentation updates to ensure robust exception handling. Leveraging Scala and Spark, the developer emphasized backend development best practices and contributed to overall code quality without addressing bug fixes during the period.