Alessandro developed a post-initialization extension hook for the LightningCLI in the Lightning-AI/pytorch-lightning repository, enabling users to customize workflows after class instantiation. This feature, delivered in Python, introduced a new extension point that supports plugin-based configurations and advanced user customization. Alessandro applied software design patterns to ensure the architecture remains extensible and maintainable, aligning the implementation with the CLI enhancement proposal for traceability and future growth. The work focused on CLI development rather than bug fixes, laying a solid foundation for extensibility and facilitating more flexible user workflows within the LightningCLI ecosystem during the development period.