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PROFILE

Becca

During two months on the frc2399/2025-season repository, Ryan Wilcox developed controller-based scoring controls for the CORAL game mode, enabling Xbox gamepad-driven selection of scoring levels, alignment, and game modes. He updated the command-based robot architecture in Java to streamline operator workflows and removed unnecessary debug output to improve production observability. In March, Ryan refined the intake and scoring systems by implementing passive intake modes, tuning control thresholds, and adjusting wrist setpoints for greater scoring precision. His work demonstrated depth in embedded systems, subsystem management, and debugging, resulting in more reliable, maintainable, and testable robot operations for competition environments.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
2
Lines of code
386
Activity Months2

Work History

March 2025

4 Commits • 1 Features

Mar 1, 2025

March 2025 (frc2399/2025-season): End-to-end intake and scoring refinements focused on reliability, precision, and testability. Implemented passive intake mode, tuned intake speeds and stall thresholds, refined elevator control, and adjusted coral L4/L3 wrist setpoints. Strengthened state management for accurate readings and added gamepad-driven intake state updates for rapid iteration, improving autonomous reliability and match consistency.

February 2025

3 Commits • 1 Features

Feb 1, 2025

February 2025 (Month: 2025-02): Delivered controller-based scoring controls for CORAL game mode, enabling Xbox controller-driven scoring levels, alignment, and game mode selection. Updated CommandFactory and RobotContainer bindings to enable intuitive gamepad-driven robot operations and added operator controls for CORAL scoring levels. Cleaned up debugging output by removing debug print statements from core classes to reduce noise during normal operation. These changes improve operator efficiency, tuning speed, and code maintainability, and strengthen observability for production runs.

Activity

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Quality Metrics

Correctness82.8%
Maintainability85.6%
Architecture85.6%
Performance77.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

Command-Based FrameworkConstants ManagementControl SystemsDebuggingEmbedded SystemsGamepad ControlJavaRobot ProgrammingRoboticsSubsystem Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

frc2399/2025-season

Feb 2025 Mar 2025
2 Months active

Languages Used

Java

Technical Skills

Command-Based FrameworkDebuggingEmbedded SystemsGamepad ControlJavaRobot Programming

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