Enrico refactored the PDDL writer in the aiplan4eu/unified-planning repository, focusing on parameterization logic to improve code maintainability and scalability. He extracted parameter writing into a private helper method and introduced an Action.print_parameters function, ensuring consistent parameter rendering across different action types. This modular approach enhanced code organization and readability, laying a foundation for more scalable parameter handling in the planning domain. Working exclusively in Python, Enrico applied object-oriented design and code refactoring techniques to address maintainability concerns. Although no bugs were fixed during this period, his work provided a robust structure for future development and easier onboarding.