GDACollab/Well-Witches
Jan 2025 – Feb 2025
2 Months active
Languages Used
C#UnityUnity Scene
Technical Skills
C#C# ScriptingGame DevelopmentObject-Oriented ProgrammingUnityUnity Engine
Christopher Raheb
PROFILE
Christopher Raheb
Over two months, Craig Hebditch developed foundational enemy AI systems for the GDACollab/Well-Witches Unity repository, focusing on maintainability and extensibility. He engineered a reusable BaseEnemyClass in C# that consolidated health, damage, movement, and lifecycle logic, streamlining enemy behavior across levels. In February, Craig expanded the system with a melee dash attack mechanic, leveraging Unity’s Rigidbody2D and CircleCollider2D for responsive combat and updating test scenes and prefabs to support robust QA. His work emphasized object-oriented design and prefab management, resulting in scalable, testable enemy AI that accelerates iteration and supports reliable gameplay tuning without introducing bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
1,188
Activity Months2
Your Network
32 people
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for GDACollab/Well-Witches. Delivered a new melee enemy dash attack mechanic and integrated test coverage; updated test scenes and prefabs to support the behavior; fixed proximity-based attack collisions to ensure reliable combat interactions. These changes are traceable to commits and lay groundwork for expanded enemy AI and playtesting. Business value includes richer, more responsive combat, improved QA confidence, and faster iteration cycles.
3 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for GDACollab/Well-Witches. Delivered a new melee enemy dash attack mechanic and integrated test coverage; updated test scenes and prefabs to support the behavior; fixed proximity-based attack collisions to ensure reliable combat interactions. These changes are traceable to commits and lay groundwork for expanded enemy AI and playtesting. Business value includes richer, more responsive combat, improved QA confidence, and faster iteration cycles.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Well-Witches: Implemented a foundational enemy AI system in Unity, delivering a reusable BaseEnemyClass and consolidating base enemy logic for consistency and maintainability. This establishes a scalable foundation for enemy behavior across levels and variants, enabling faster iteration and more reliable gameplay dynamics.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Well-Witches: Implemented a foundational enemy AI system in Unity, delivering a reusable BaseEnemyClass and consolidating base enemy logic for consistency and maintainability. This establishes a scalable foundation for enemy behavior across levels and variants, enabling faster iteration and more reliable gameplay dynamics.
Activity
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Quality Metrics
Correctness82.0%
Maintainability82.0%
Architecture72.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#UnityUnity Scene
Technical Skills
C#C# ScriptingEnemy AIEnemy AI ConfigurationGame DevelopmentObject-Oriented ProgrammingPrefab ManagementScene ManagementUnityUnity Engine
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