gmuGADIG/DEADSHOT
Sep 2025 – Oct 2025
2 Months active
Languages Used
GDScript
Technical Skills
AI BehaviorAI ProgrammingGame DevelopmentPathfindingState Machines3D Game Development
Camber Boles
PROFILE
Camber Boles
Camber Brown developed foundational gameplay systems for the gmuGADIG/DEADSHOT repository, focusing on scalable enemy AI and item mechanics using GDScript and the Godot Engine. Over two months, Camber implemented a dynamic, state-based enemy AI system with proximity-driven behaviors and modular architecture, leveraging state machines and enums to support future expansion. The work included a patrol and pathfinding framework, as well as a new item system featuring tonic healing and configurable enemy drop rates. Code organization was enhanced through region blocks and object-oriented design, resulting in maintainable, extensible systems that streamline future development of enemy behaviors and item-driven gameplay.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
3
Lines of code
392
Activity Months2
Your Network
39 people
Work History
October 2025
6 Commits • 2 Features
Oct 1, 20252025-10 Monthly Summary for gmuGADIG/DEADSHOT focused on delivering foundational gameplay systems with a focus on maintainability and extensibility. Key features delivered include a modular enemy system with basic AI and a new item framework with tonic healing and drop mechanics. These changes establish a scalable base for future AI enhancements and item-driven gameplay, improving player engagement and enabling quicker iteration on enemy behaviors and loot.
6 Commits • 2 Features
Oct 1, 20252025-10 Monthly Summary for gmuGADIG/DEADSHOT focused on delivering foundational gameplay systems with a focus on maintainability and extensibility. Key features delivered include a modular enemy system with basic AI and a new item framework with tonic healing and drop mechanics. These changes establish a scalable base for future AI enhancements and item-driven gameplay, improving player engagement and enabling quicker iteration on enemy behaviors and loot.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 | Repository: gmuGADIG/DEADSHOT Key feature delivered: - Dynamic Enemy AI system with state-based behavior and patrol/path handling. Implemented state machine scaffolding for benign, scouting, and tracking modes driven by player proximity. Added enums for enemy type, aggro status, and state change logic based on radius. Included placeholder functions for different enemy states and code regions plus a patrol path array to support future movement variations. Commit trace (representative changes this month): - 937ce8a13196c17ce36775a017d33c166cf765c2: Added enums for enemy type, aggro status, and state change logic based on radius - bc2b71546c3bc7fc742352386af09fcb1b0335ff: Added placeholder functions for different enemy states - ff24f14594ae5193b3675b09e8c6f90fec915d45: Added code regions and patrol path array Bugs fixed: - No major bugs fixed this month. Focus was on feature delivery and AI scaffolding that lays groundwork for future bug fixes and expansions. Overall impact and accomplishments: - Established a scalable AI foundation that enables dynamic, proximity-driven enemy behavior, enhancing gameplay engagement and future content variation. The scaffolding reduces future rework and accelerates iteration for movement/tactics variations. Technologies/skills demonstrated: - State machines and proximity-based triggers, enum-driven state management, code organization with regions, and path/patrol data structures. Demonstrated emphasis on maintainability, extensibility, and traceability of AI-related changes.
September 2025
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 | Repository: gmuGADIG/DEADSHOT Key feature delivered: - Dynamic Enemy AI system with state-based behavior and patrol/path handling. Implemented state machine scaffolding for benign, scouting, and tracking modes driven by player proximity. Added enums for enemy type, aggro status, and state change logic based on radius. Included placeholder functions for different enemy states and code regions plus a patrol path array to support future movement variations. Commit trace (representative changes this month): - 937ce8a13196c17ce36775a017d33c166cf765c2: Added enums for enemy type, aggro status, and state change logic based on radius - bc2b71546c3bc7fc742352386af09fcb1b0335ff: Added placeholder functions for different enemy states - ff24f14594ae5193b3675b09e8c6f90fec915d45: Added code regions and patrol path array Bugs fixed: - No major bugs fixed this month. Focus was on feature delivery and AI scaffolding that lays groundwork for future bug fixes and expansions. Overall impact and accomplishments: - Established a scalable AI foundation that enables dynamic, proximity-driven enemy behavior, enhancing gameplay engagement and future content variation. The scaffolding reduces future rework and accelerates iteration for movement/tactics variations. Technologies/skills demonstrated: - State machines and proximity-based triggers, enum-driven state management, code organization with regions, and path/patrol data structures. Demonstrated emphasis on maintainability, extensibility, and traceability of AI-related changes.
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture84.4%
Performance77.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
GDScript
Technical Skills
3D Game DevelopmentAI BehaviorAI ProgrammingCode OrganizationEnemy AIGame DevelopmentGodot EngineItem Dropping SystemItem SystemsObject-Oriented ProgrammingPathfindingPlayer Health SystemScene ManagementState Machines
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