Developed a dedicated LED status subsystem for the Akula Mic robot in the FRC3620_2025_Akula_Mic repository, focusing on real-time visual feedback to enhance operator awareness and streamline debugging. Leveraged Java and embedded systems expertise within a command-based framework to implement addressable LED control, supporting multiple patterns such as blinking, chasing, and solid illumination. Integrated a DefaultBlinkyCommand to dynamically drive these patterns based on robot mode and status, making state transitions and errors visually apparent. This work improved the reliability of automated runs, reduced troubleshooting time, and established a foundation for future visual telemetry and operator cue enhancements.