Contributed to the evcc-io/evcc repository by enhancing the HomeAssistant integration with support for Tesla charging states, enabling more granular reporting of vehicle charging status. Focused on backend development and API integration using Go, the work improved the automation potential and monitoring capabilities within HomeAssistant environments. By introducing richer state data, the integration now allows users to track and automate electric vehicle charging workflows with greater precision. This feature addressed the need for detailed charging visibility, supporting smarter energy management. The approach demonstrated effective cross-component integration, expanding the repository’s vehicle support and aligning with modern backend engineering practices for home automation.