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
In March 2025, Valiant contributed to CleverRaven/Cataclysm-DDA by developing features and fixes that enhanced gameplay clarity and player feedback. Working primarily in C++ and JSON, Valiant updated the Dogbane schema to support new examine interactions, enabling future content expansion. They addressed a combat edge case by refining monster grab logic, ensuring accurate threat identification. Valiant also improved overmap sight calculations for scoped weapons, increasing player awareness of distant hazards. Additionally, they enhanced error handling by providing clearer feedback when interacting with acid-filled corpses. Their work demonstrated thoughtful refactoring and a focus on robust, maintainable 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
180 people
Work 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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