During March 2026, Canusha focused on enhancing the robustness of the TVM Relax module in the apache/tvm repository by addressing input validation for the make_shape API. Using Python and leveraging backend development and unit testing skills, Canusha implemented strict type checks to ensure only lists or tuples are accepted as valid inputs. This approach improved error handling and provided clearer messaging for invalid cases, reducing runtime errors and supporting safer API usage. Comprehensive regression and unit tests were added to verify both valid and invalid scenarios, aligning the changes with project standards and improving the reliability of shape utilities.