Developed and delivered an Enhanced Error Reporting and Diagnostics feature for the ai-dynamo/aiperf repository, focusing on improving reliability and developer experience. The work centered on backend development using Python, with an emphasis on robust error handling and debugging practices. By increasing verbosity on process exit, the feature provides clearer reasons, causes, and contextual details for errors, which streamlines root-cause analysis and accelerates issue resolution in both CI and production environments. This approach surfaces actionable diagnostic data, enabling faster triage and improved operator support, while strengthening the product’s fault visibility and enhancing the overall user and developer experience.