CleverRaven/Cataclysm-DDA
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++JSON
Technical Skills
Bug FixingC++Combat MechanicsError HandlingGame DevelopmentRefactoring
Valiant
PROFILE
Valiant
During March 2025, Valiant contributed to CleverRaven/Cataclysm-DDA by delivering targeted gameplay features and bug fixes that enhanced player experience and code maintainability. They updated the Dogbane JSON schema to support new examine interactions, enabling future content expansion without altering core logic. Addressing combat mechanics, Valiant resolved an edge case in monster grabbing logic, improving threat identification and error handling. They also refined overmap sight calculations for scoped weapons, increasing player awareness of distant hazards. Additionally, Valiant improved hazard feedback when interacting with acid-filled corpses. Their work demonstrated depth in C++, JSON schema definition, and robust game development practices.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
52
Activity Months1
Your Network
182 peopleWork History
March 2025
4 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for CleverRaven/Cataclysm-DDA: Focused delivery of targeted features and fixes that improve gameplay clarity, safety, and player awareness, while maintaining codebase quality and traceability. Key outcomes include schema updates enabling richer interactions, robust edge-case handling of combat/grab logic, enhanced perception of distant threats, and clearer hazard feedback for hazardous actions. These changes collectively reduce ambiguity, support future content iteration, and reinforce the game's responsiveness to player actions.
4 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for CleverRaven/Cataclysm-DDA: Focused delivery of targeted features and fixes that improve gameplay clarity, safety, and player awareness, while maintaining codebase quality and traceability. Key outcomes include schema updates enabling richer interactions, robust edge-case handling of combat/grab logic, enhanced perception of distant threats, and clearer hazard feedback for hazardous actions. These changes collectively reduce ambiguity, support future content iteration, and reinforce the game's responsiveness to player actions.
March 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture80.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JSON
Technical Skills
Bug FixingC++Combat MechanicsError HandlingGame DevelopmentRefactoringSchema Definition
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