During their work on the MemMachine/MemMachine repository, Cxygjj enhanced the robustness of language model JSON handling by integrating the json-repair library to parse malformed outputs. This feature addressed common parsing failures by updating language model implementations to consistently use json-repair, reducing downstream error handling and improving production reliability for LLM-driven features. Cxygjj expanded unit tests and applied lint fixes to validate the new parsing flow, ensuring maintainability and code quality. The work demonstrated depth in Python and full stack development, with a focus on API development and automated testing to deliver a more resilient and reliable system.