Common pitfalls in tensor reshaping include misunderstanding the operation, failing to maintain element count, and neglecting memory contiguity. Ensure the product of new dimensions matches the original. Be cautious of batch dimensions in neural networks and track tensor shapes throughout workflows to avoid runtime errors and data loss.