Robot vacuum cleaner app
**Project Overview:** The robot vacuum cleaner app serves as the central platform for personalizing the settings of customers' robots. This project aims to enhance the performance and features of an existing application used in robotic cleaning systems. The client highlighted crucial areas needing enhancement, such as code efficiency, data processing, and cross-platform functionality.
**What Was Done:** The project commenced with a redesign of the architecture and the adoption of best practices, particularly concerning security, thread safety, and code idiomaticity. Several FFI interfaces, which were barriers and sources of problems, were removed, resulting in a codebase reduction by 50%. Additionally, key components of the mobile app were migrated from Swift to Rust, optimizing speed, stability, and feature deployment, which greatly improved the performance and reliability of data processing from the robots. Multiple critical refactorings were also executed, including the removal of deadlocks and crashes, which significantly boosted system stability and performance. The ultimate goal was to develop a dependable, scalable application that supports advanced functionalities and helps the client maintain a competitive advantage in the marketplace.
**The Result:** The mobile app was successfully deployed for both iOS and Android, leading to substantial improvements in code maintainability and a reduction in maintenance costs. The enhancements implemented resulted in faster performance, greater stability, and enhanced security throughout the application. This led to the creation of a more reliable, scalable, and globally adaptable system with seamless cross-platform functionality and an improved user experience owing to the elimination of crashes. Users can now enjoy a significantly better experience without interruptions. Moreover, the testing strategy was strengthened, and API integrations were expanded, providing even greater flexibility and capability to the product.