multitheftauto/mtasa-blue
Dec 2024 – Sep 2025
4 Months active
Languages Used
C++Lua
Technical Skills
Argument ParsingC++Data StructuresLua ScriptingAsset ManagementGame Development
Walace
PROFILE
Walace
Fefeduartepers contributed to the multitheftauto/mtasa-blue repository by developing and refining systems for custom clothing asset management and Lua scripting enhancements. Over four months, he built features enabling dynamic replacement and management of Carl Johnson clothing models, integrating asset workflows with rendering and streaming systems using C++ and Lua. He implemented robust argument parsing for 4x4 matrix data, improving scripting flexibility and input validation. His work addressed stability issues in the clothing pipeline, fixing bugs related to model loading and data map initialization. The depth of his contributions reflects strong skills in asset management, game development, and client-server architecture.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
1,494
Activity Months4
Your Network
22 people
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for multitheftauto/mtasa-blue: Stabilized clothing model loading by fixing a crash related to lookup initialization and data map handling. Improved robustness of model requests, reduced crash risk, and enhanced data-loading reliability. Demonstrated strong problem-solving around map initialization and data-driven loading.
1 Commits
Sep 1, 2025September 2025 monthly summary for multitheftauto/mtasa-blue: Stabilized clothing model loading by fixing a crash related to lookup initialization and data map handling. Improved robustness of model requests, reduced crash risk, and enhanced data-loading reliability. Demonstrated strong problem-solving around map initialization and data-driven loading.
September 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for multitheftauto/mtasa-blue. Focused on delivering a new asset-management feature and stabilizing the clothing pipeline. The key outcomes include a Custom Clothing System for managing clothing models and textures, with directory-based organization and integration with rendering and client-side logic, plus a targeted bug fix improving asset loading reliability.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for multitheftauto/mtasa-blue. Focused on delivering a new asset-management feature and stabilizing the clothing pipeline. The key outcomes include a Custom Clothing System for managing clothing models and textures, with directory-based organization and integration with rendering and client-side logic, plus a targeted bug fix improving asset loading reliability.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for multitheftauto/mtasa-blue focusing on delivering a feature to replace and manage Carl Johnson clothing models with custom assets, with integration into rendering and streaming systems to ensure assets load and swap correctly during gameplay. Also included a bug fix addressing stability of clothing model swaps and improved asset handling across the pipeline.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for multitheftauto/mtasa-blue focusing on delivering a feature to replace and manage Carl Johnson clothing models with custom assets, with integration into rendering and streaming systems to ensure assets load and swap correctly during gameplay. Also included a bug fix addressing stability of clothing model swaps and improved asset handling across the pipeline.
February 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12. This month focused on delivering a key scripting feature in MTASA Blue with targeted improvements to input handling and validation for matrix data, enabling more robust and flexible game scripting.
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12. This month focused on delivering a key scripting feature in MTASA Blue with targeted improvements to input handling and validation for matrix data, enabling more robust and flexible game scripting.
Activity
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Quality Metrics
Correctness94.0%
Maintainability88.0%
Architecture90.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Lua
Technical Skills
Argument ParsingAsset ManagementBug FixingC++Client-Server DevelopmentData StructuresGame DevelopmentLua ScriptingModdingReverse Engineering
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