Yatharth focused on enhancing the reliability and maintainability of the Metta-AI/mettagrid repository over a two-month period, addressing both backend stability and developer experience. He improved the test ecosystem by stabilizing the Pytest suite, marking flaky tests appropriately, and refining test discovery to reduce CI noise and feedback delays. In addition, Yatharth delivered robust path management for Nim bindings, introducing dynamic data directory fallback to support cross-runtime usability. His work included fixing critical bugs affecting local installations and release workflows, leveraging Python, Nim, and DevOps practices. These contributions resulted in more predictable builds, safer releases, and smoother onboarding for developers.