Worked on the tracel-ai/burn repository, focusing on improving the reliability and clarity of error handling in Rust. Addressed a bug in the One-Hot Tensor creation process by correcting a typo in the class size error message, ensuring that developers and users receive clear and actionable feedback during tensor encoding operations. The targeted fix enhanced debuggability and reduced ambiguity, contributing to a more robust codebase. Emphasized precise error reporting and thorough documentation of changes, utilizing Rust programming skills and a strong understanding of error handling best practices. The work prioritized code quality and maintainability, with minimal risk introduced to the project.