FRC7902/Offseason-Reefscape2025-Team-Fire
Oct 2025 – Oct 2025
1 Month active
Languages Used
Java
Technical Skills
Javacommand-based programmingrobotics programming
ACsNotThere
PROFILE
Acsnotthere
Developed and delivered a tunable automation feature for the algae-processing subsystem in the FRC7902/Offseason-Reefscape2025-Team-Fire repository, focusing on dynamic outtake speed control. The work involved introducing a configurable speed constant and updating the OuttakeCommand to accept variable speeds, which were then applied based on processor position. This approach improved control precision, operational safety, and tuning efficiency for the subsystem. The implementation leveraged Java and command-based robotics programming, with disciplined version control and clear naming conventions. No bugs were documented or fixed during this period, and all changes were integrated end-to-end, supporting runtime configurability and maintainable code structure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
44
Activity Months1
Your Network
6 peopleWork History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 — Focused delivery on tunable automation for the algae-processing subsystem in FRC7902/Offseason-Reefscape2025-Team-Fire. Key feature delivered: Dynamic Outtake Speed Control for the Algae Processor. This included introducing a new speed constant, enabling OuttakeCommand to accept a variable speed, and wiring the speed application to the processor position. A refactor renamed outtakeSpeed to m_outtakeSpeed for clarity and maintainability. No major bugs fixed are documented for this month. Overall impact includes improved control precision, safer operation, faster tuning cycles, and potential energy savings. Demonstrated technologies and skills include command-based robotics patterns, parameterization and runtime configurability, and disciplined version control and naming conventions.
2 Commits • 1 Features
Oct 1, 2025October 2025 — Focused delivery on tunable automation for the algae-processing subsystem in FRC7902/Offseason-Reefscape2025-Team-Fire. Key feature delivered: Dynamic Outtake Speed Control for the Algae Processor. This included introducing a new speed constant, enabling OuttakeCommand to accept a variable speed, and wiring the speed application to the processor position. A refactor renamed outtakeSpeed to m_outtakeSpeed for clarity and maintainability. No major bugs fixed are documented for this month. Overall impact includes improved control precision, safer operation, faster tuning cycles, and potential energy savings. Demonstrated technologies and skills include command-based robotics patterns, parameterization and runtime configurability, and disciplined version control and naming conventions.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Javacommand-based programmingrobotics programming
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