Josh Attenberg developed a targeted feature for the dbt-labs/dbt-mcp repository, enabling selective production builds through the new steps_override parameter in the trigger_job_run workflow. Using Python and leveraging skills in API integration and backend development, he updated both the codebase and documentation to support this enhancement, which allows users to specify particular steps for execution rather than running full nightly jobs. Josh ensured schema alignment for MCP consumers and prepared a comprehensive testing plan to validate the feature’s integration and backward compatibility. This work addressed the need for more efficient, flexible orchestration in AI-driven production environments, demonstrating thoughtful engineering depth.