
Developed a scalable resource management system for the ParadigmsW24/Paradigms-Class-Project repository, focusing on backend game logic using Elixir. The work centered on designing and implementing a ResourceManager module that automated resource generation, managed worker allocation, and supported dynamic resource and unit costs. By centralizing resource logic and refactoring deduction processes, the system improved reliability and maintainability. A worker pool architecture was introduced, enabling users to add workers and facilitating efficient resource operations within the game state. Extensive in-code documentation was provided to support future development, emphasizing maintainable Elixir code and robust resource economics for ongoing game development needs.
December 2024: Delivered a scalable Resource Management System and associated infrastructure for ParadigmsW24/Paradigms-Class-Project, enabling robust resource economics and automated workflows. Implemented a ResourceManager module with auto-generation, worker allocation, dynamic resource and unit costs, and continuous updates. Centralized resource logic and refactored deduction to use ResourceManager, improving reliability and maintainability. Introduced a worker pool for resource operations, with worker distribution in game state and the ability for users to add workers. Updated resource costing and provided extensive in-code documentation to support future iterations and collaboration.
December 2024: Delivered a scalable Resource Management System and associated infrastructure for ParadigmsW24/Paradigms-Class-Project, enabling robust resource economics and automated workflows. Implemented a ResourceManager module with auto-generation, worker allocation, dynamic resource and unit costs, and continuous updates. Centralized resource logic and refactored deduction to use ResourceManager, improving reliability and maintainability. Introduced a worker pool for resource operations, with worker distribution in game state and the ability for users to add workers. Updated resource costing and provided extensive in-code documentation to support future iterations and collaboration.

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