Worked on the Arize-ai/phoenix repository to enhance development observability by implementing SQL statement logging for debugging purposes. Developed a feature that enables SQL queries to be output to stdout, controlled via an environment variable, and integrated this setting directly into the database engine initialization process. This approach allows developers to activate detailed query logging during development, streamlining the debugging workflow and facilitating faster issue reproduction. Utilized Python for backend development and database management, focusing on improving visibility into executed queries. The work addressed the need for more transparent debugging in the codebase, contributing to a more efficient development environment.