CBowneUCF/RageRooster
Jul 2025 – Sep 2025
3 Months active
Languages Used
C#GitUnityUnity AssetUnity YAML
Technical Skills
AIAsset ManagementBehavior TreesBuild ConfigurationEditor ScriptingGame Development
Dylan Torres
PROFILE
Dylan Torres
Over three months, Glacier Shield developed foundational AI tooling and gameplay features for the CBowneUCF/RageRooster repository, focusing on modularity and maintainability. They integrated the MonoBehaviourTree package and built dedicated Unity test scenes to validate enemy behaviors using NavMesh and visual scripting. Their approach emphasized clean build configuration, gating test assets from production to ensure stability. Glacier Shield enhanced visual clarity in enemy behavior graphs by introducing node grouping and refactored layouts, leveraging C# and Unity’s visual scripting tools. They also implemented first-pass projectile firing for GroundedShooterEnemy, documenting known issues to guide future iterations and support ongoing code quality.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
4
Lines of code
14,409
Activity Months3
Your Network
19 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 – CBowneUCF/RageRooster: Feature delivery and code quality improvements focused on GroundedShooterEnemy. Key features delivered: - GroundedShooterEnemy projectile firing first pass enabling gameplay threat (commit d5af5e6841d7b0b844b2a6406049f9c1775098f2). - Visual scripting graph GroundedShooterEnemyGraph refined to improve states/transitions (commit e1e49d1a911ae98ca8c09f49e613ebaf61f3cfeb). - Documentation and acknowledgement of known issues with state transitions and object pooling to guide next iteration. Major bugs fixed: - None identified in this scope for September 2025; focus on feature delivery and graph refinement. Overall impact: - First-pass enemy projectile firing deployed, enabling deeper combat dynamics. - Better designer tooling and future-proofed maintenance via graph refinements; sets foundation for subsequent iteration. Technologies/skills demonstrated: - Unity visual scripting and graph refactoring - Enemy projectile mechanics and integration with GroundedShooterEnemy - Awareness of performance considerations (object pooling) and state-machine clarity.
2 Commits • 1 Features
Sep 1, 2025September 2025 – CBowneUCF/RageRooster: Feature delivery and code quality improvements focused on GroundedShooterEnemy. Key features delivered: - GroundedShooterEnemy projectile firing first pass enabling gameplay threat (commit d5af5e6841d7b0b844b2a6406049f9c1775098f2). - Visual scripting graph GroundedShooterEnemyGraph refined to improve states/transitions (commit e1e49d1a911ae98ca8c09f49e613ebaf61f3cfeb). - Documentation and acknowledgement of known issues with state transitions and object pooling to guide next iteration. Major bugs fixed: - None identified in this scope for September 2025; focus on feature delivery and graph refinement. Overall impact: - First-pass enemy projectile firing deployed, enabling deeper combat dynamics. - Better designer tooling and future-proofed maintenance via graph refinements; sets foundation for subsequent iteration. Technologies/skills demonstrated: - Unity visual scripting and graph refactoring - Enemy projectile mechanics and integration with GroundedShooterEnemy - Awareness of performance considerations (object pooling) and state-machine clarity.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 (CBowneUCF/RageRooster): Delivered visual grouping for ShooterEnemyGraph by clustering nodes within states to improve organization and readability, and introduced a new testing scene VSETesting.unity to validate the changes. No major bugs reported this month. Impact: enhances user comprehension of enemy graph structures, reduces debugging time, and improves maintainability. Skills demonstrated: Unity, C#, graph visualization, scene setup, code refactoring for grouping, testing practices, and commit-driven delivery.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08 (CBowneUCF/RageRooster): Delivered visual grouping for ShooterEnemyGraph by clustering nodes within states to improve organization and readability, and introduced a new testing scene VSETesting.unity to validate the changes. No major bugs reported this month. Impact: enhances user comprehension of enemy graph structures, reduces debugging time, and improves maintainability. Skills demonstrated: Unity, C#, graph visualization, scene setup, code refactoring for grouping, testing practices, and commit-driven delivery.
July 2025
6 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for CBowneUCF/RageRooster focused on delivering AI tooling foundations while preserving production stability. Major deliverables include importing and integrating the MonoBehaviourTree package, plus building an MBT_Testing scene with enemy testing, NavMesh setup, and lighting assets. The MBT_Testing scene was subsequently gated from production builds to ensure releases remain lean and stable. An initial HierarchyStateMachine submodule integration was attempted but rolled back to maintain repository integrity (including a Gitmodules fix and a later revert). Build hygiene improvements were implemented to prevent test assets from leaking into production and to document steps for future integration. Overall, these efforts establish a modular AI tooling foundation with clear paths for future enhancements while minimizing risk to production.
6 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for CBowneUCF/RageRooster focused on delivering AI tooling foundations while preserving production stability. Major deliverables include importing and integrating the MonoBehaviourTree package, plus building an MBT_Testing scene with enemy testing, NavMesh setup, and lighting assets. The MBT_Testing scene was subsequently gated from production builds to ensure releases remain lean and stable. An initial HierarchyStateMachine submodule integration was attempted but rolled back to maintain repository integrity (including a Gitmodules fix and a later revert). Build hygiene improvements were implemented to prevent test assets from leaking into production and to document steps for future integration. Overall, these efforts establish a modular AI tooling foundation with clear paths for future enhancements while minimizing risk to production.
July 2025
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture86.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#GitUnityUnity AssetUnity YAML
Technical Skills
AIAsset ManagementBehavior TreesBuild ConfigurationEditor ScriptingGame DevelopmentNavMeshScene ManagementSubmodule ManagementTestingUnityUnity EngineVersion ControlVisual Scripting
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