Worked on backend development and LLM integration for the get-convex/chef repository, focusing on improving the stability and reliability of local inference workflows. Addressed a reproducible initialization issue by delivering a targeted bug fix that ensures the LM Studio client initializes correctly with local LLM instances, specifically by setting the API key to an empty string to prevent authentication errors. This TypeScript-based solution reduced startup failures and improved developer productivity when working with local models. Collaborated effectively through code review and iteration, contributing to the maintainability of the codebase and supporting smoother development experiences for ongoing and future projects.