During October 2025, Stone refactored the LLM client’s think path in the datawhalechina/hello-agents repository, focusing on improving runtime efficiency and code clarity. By removing redundant chunk appending within the think call, Stone streamlined the logic, resulting in faster execution and more maintainable code. The work leveraged Python and applied principles of AI development and software refactoring to address inefficiencies in the existing implementation. Although the scope was limited to a single feature and did not include bug fixes beyond this targeted change, the update enhanced the maintainability and performance of the LLM client’s core reasoning workflow for future development.