MadMan-123/SwashDucklers
Oct 2024 – Apr 2025
5 Months active
Languages Used
C#UnityUnity SceneUnity Scene DescriptionYAMLHLSLShaderLabUnity Prefab
Technical Skills
AnimationAudio IntegrationC#C# ScriptingCode RefactoringEvent System
MadMan-123
PROFILE
Madman-123
Madoc Wolstencroft developed core gameplay systems for the MadMan-123/SwashDucklers repository, focusing on player movement, AI behavior, and interactive environments. He engineered robust features such as a water rendering system, cannon mechanics, and a scalable interaction framework, using Unity and C# to ensure maintainability and performance. His technical approach emphasized modular design, object pooling, and shader programming, which improved visual fidelity and gameplay responsiveness. By refactoring legacy systems and integrating new UI and audio management workflows, Madoc addressed stability and scalability challenges, resulting in a codebase that supports rapid iteration, reliable playtesting, and future feature expansion across multiple gameplay domains.
Overall Statistics
Feature vs Bugs
66%Features
Repository Contributions
103Total
Bugs
22
Commits
103
Features
42
Lines of code
146,163
Activity Months5
Your Network
8 people
Work History
April 2025
17 Commits • 7 Features
Apr 1, 2025April 2025 (MadMan-123/SwashDucklers) delivered a cohesive set of features and stability improvements that strengthen gameplay feel and reliability. Key deliverables span: Enhanced Interaction System, Player Movement/Controls Stability, Kraken Encounter Visuals and Balancing, Spawn/Launch and World Interaction Improvements, Visual Polishing and Audio Enhancements, and broad Codebase Maintenance. Major bugs fixed include ensuring interactions actually occur, eliminating negative velocity, and addressing floating items. Impact: more responsive, reliable gameplay; improved designer configurability; and higher-quality visuals and sound. Technologies: Unity, C#, object pooling, shaders, 2D/3D audio, and comprehensive refactoring.
17 Commits • 7 Features
Apr 1, 2025April 2025 (MadMan-123/SwashDucklers) delivered a cohesive set of features and stability improvements that strengthen gameplay feel and reliability. Key deliverables span: Enhanced Interaction System, Player Movement/Controls Stability, Kraken Encounter Visuals and Balancing, Spawn/Launch and World Interaction Improvements, Visual Polishing and Audio Enhancements, and broad Codebase Maintenance. Major bugs fixed include ensuring interactions actually occur, eliminating negative velocity, and addressing floating items. Impact: more responsive, reliable gameplay; improved designer configurability; and higher-quality visuals and sound. Technologies: Unity, C#, object pooling, shaders, 2D/3D audio, and comprehensive refactoring.
April 2025
March 2025
43 Commits • 17 Features
Mar 1, 2025March 2025 performance summary for MadMan-123/SwashDucklers. This period delivered targeted gameplay improvements, system-level enhancements, and stability fixes that collectively improve player experience, performance, and maintainability. Key features delivered: - Cannon jam mechanic implemented with corresponding visuals to add strategic depth. - Player container and validated launch position to ensure reliable, safe game starts. - Environment manager design with items dropping and improved jump-off positions, enabling richer level interactions. - UI and data management integrations: Score Manager, deck upload, and cargo UI implemented to streamline progression and in-game data handling. - Outline flash visual to enhance target feedback (complementing existing core visuals). Major bugs fixed: - Fixed cap on maximum spawned enemies (now capped at 3). - Resolved water behavior issues and introduced safer water interaction handling. - Navmesh and launch trigger area reliability enhancements. - Fixed leaks selection to ensure correct counts. - Plank visualization bug resolved (shows post-repair for a configurable duration). - AI and crab movement/jumping issues addressed for more predictable behavior. - Ground clipping fixes and build/maintenance cleanups as part of ongoing stabilization. Overall impact and accomplishments: - Stabilized core gameplay loops with reliable spawning, movement, and combat interactions. - Improved performance and visual fidelity balance via targeted renderer adjustments, enabling consistent visuals across hardware profiles. - Created foundational systems (environment manager, UI data flow) that accelerate future feature work and reduce integration risk. Technologies/skills demonstrated: - Unity/C# gameplay systems engineering, AI and navigation refinements, and environment design. - Performance optimization through renderer downgrades without sacrificing core style. - UI/UX integration (Score Manager, Deck, Cargo UI) and data management workflows. - Debugging, issue tracking, and maintainability practices including in-code documentation and commit discipline.
March 2025
43 Commits • 17 Features
Mar 1, 2025March 2025 performance summary for MadMan-123/SwashDucklers. This period delivered targeted gameplay improvements, system-level enhancements, and stability fixes that collectively improve player experience, performance, and maintainability. Key features delivered: - Cannon jam mechanic implemented with corresponding visuals to add strategic depth. - Player container and validated launch position to ensure reliable, safe game starts. - Environment manager design with items dropping and improved jump-off positions, enabling richer level interactions. - UI and data management integrations: Score Manager, deck upload, and cargo UI implemented to streamline progression and in-game data handling. - Outline flash visual to enhance target feedback (complementing existing core visuals). Major bugs fixed: - Fixed cap on maximum spawned enemies (now capped at 3). - Resolved water behavior issues and introduced safer water interaction handling. - Navmesh and launch trigger area reliability enhancements. - Fixed leaks selection to ensure correct counts. - Plank visualization bug resolved (shows post-repair for a configurable duration). - AI and crab movement/jumping issues addressed for more predictable behavior. - Ground clipping fixes and build/maintenance cleanups as part of ongoing stabilization. Overall impact and accomplishments: - Stabilized core gameplay loops with reliable spawning, movement, and combat interactions. - Improved performance and visual fidelity balance via targeted renderer adjustments, enabling consistent visuals across hardware profiles. - Created foundational systems (environment manager, UI data flow) that accelerate future feature work and reduce integration risk. Technologies/skills demonstrated: - Unity/C# gameplay systems engineering, AI and navigation refinements, and environment design. - Performance optimization through renderer downgrades without sacrificing core style. - UI/UX integration (Score Manager, Deck, Cargo UI) and data management workflows. - Debugging, issue tracking, and maintainability practices including in-code documentation and commit discipline.
February 2025
18 Commits • 8 Features
Feb 1, 2025February 2025 performance summary for MadMan-123/SwashDucklers: Delivered a robust feature set advancing gameplay fidelity, stability, and maintainability across core systems. Implemented a Water Rendering Overhaul, Cannon System with projectile mechanics, AI behavior, Item Interaction refactor to ItemStack, and a new Menu/UI Manager, complemented by visual and polish work (Toon Shader, Kraken behavior, and scene/layout tweaks). These changes deliver stronger player immersion, more reliable interactions, and scalable architecture to support cargo features and future iterations.
18 Commits • 8 Features
Feb 1, 2025February 2025 performance summary for MadMan-123/SwashDucklers: Delivered a robust feature set advancing gameplay fidelity, stability, and maintainability across core systems. Implemented a Water Rendering Overhaul, Cannon System with projectile mechanics, AI behavior, Item Interaction refactor to ItemStack, and a new Menu/UI Manager, complemented by visual and polish work (Toon Shader, Kraken behavior, and scene/layout tweaks). These changes deliver stronger player immersion, more reliable interactions, and scalable architecture to support cargo features and future iterations.
February 2025
November 2024
18 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for MadMan-123/SwashDucklers focused on laying the foundation for core gameplay systems, stabilizing playtests, and delivering incremental AI, UI, and environment improvements that unlock longer-term business value. Key outcomes include the delivery of scalable task and object lifecycle management, enhanced AI behavior, user-facing UI improvements, and deterministic spawn mechanics, complemented by a stabilized test environment to accelerate iteration.
November 2024
18 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for MadMan-123/SwashDucklers focused on laying the foundation for core gameplay systems, stabilizing playtests, and delivering incremental AI, UI, and environment improvements that unlock longer-term business value. Key outcomes include the delivery of scalable task and object lifecycle management, enhanced AI behavior, user-facing UI improvements, and deterministic spawn mechanics, complemented by a stabilized test environment to accelerate iteration.
October 2024
7 Commits • 5 Features
Oct 1, 2024October 2024 monthly summary for MadMan-123/SwashDucklers. Delivered a cohesive set of gameplay and system improvements aimed at increasing player engagement, feel, and reliability, while simplifying maintenance and future iteration. Focused on core movement, interaction flows, and health/audio infrastructure to bolster product value and reduce runtime issues.
7 Commits • 5 Features
Oct 1, 2024October 2024 monthly summary for MadMan-123/SwashDucklers. Delivered a cohesive set of gameplay and system improvements aimed at increasing player engagement, feel, and reliability, while simplifying maintenance and future iteration. Focused on core movement, interaction flows, and health/audio infrastructure to bolster product value and reduce runtime issues.
October 2024
Activity
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Quality Metrics
Correctness79.8%
Maintainability79.8%
Architecture72.0%
Performance69.4%
AI Usage23.8%
Skills & Technologies
Programming Languages
C#HLSLShaderLabUnityUnity PrefabUnity SceneUnity Scene DataUnity Scene DescriptionYAML
Technical Skills
3D Graphics3D Modeling3D RenderingAIAI BehaviorAI DevelopmentAI Implementation (Initial)AI NavigationAI ProgrammingAnimationAsset ManagementAudio IntegrationAudio ManagementBug FixingC#
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