Worked on improving the accuracy of MLflow tracing documentation within the mlflow/mlflow repository, focusing on clarifying the correct order of applying the mlflow.trace decorator in Python web applications. Addressed a documentation bug by updating code examples to demonstrate proper integration with other decorators, which helps prevent tracing errors in web framework contexts. The approach involved targeted edits to documentation files, validation through local builds, and spot-checking tracing examples for consistency. Leveraged skills in Python, MLflow, and technical documentation to ensure users have clear guidance, reducing confusion and supporting more reliable tracing implementations in web development environments.