During March 2026, contributed to the microsoft/azure-devops-mcp repository by developing the Team Settings Discovery Tool, which streamlines AI-assisted Product Backlog Item (PBI) creation. This tool, implemented in TypeScript, programmatically retrieves backlog iterations, area paths, bug behavior, and enabled categories, reducing manual metadata collection and improving workflow efficiency for product and engineering teams. The work involved API development, full stack implementation, and comprehensive end-to-end testing using the MCP inspector and Opencode agent. Emphasis was placed on code quality, telemetry, and documentation, with active cross-team collaboration to ensure seamless integration and adherence to contribution guidelines throughout the development process.