
During May 2025, Diego Palacios developed the core of a Chicken Farm Simulator within the elascano/ESPE2504-OOPSW23217 repository, focusing on object-oriented design in Java and JavaScript. He implemented foundational classes such as Chicken, Egg, and Poop, along with constructors, getters, and setters to support simulation logic. His work included configuring the project environment and organizing course materials and homework assets to facilitate onboarding and ongoing coursework. By emphasizing clear documentation, structured project organization, and milestone-aligned commits, Diego delivered a maintainable codebase that supports hands-on learning and provides a solid foundation for future feature development.

May 2025 focused on delivering core object-oriented capabilities for the Chicken Farm Simulator and establishing a robust repository of learning materials. Key outcomes include a functional Simulator core (Chicken class, Egg and Poop models) with a demonstrative simulator (ChickenFarmSimulator), together with a structured set of course materials and homework assets to support ongoing coursework. No critical bugs reported; activities prioritized design quality, documentation, and onboarding readiness. These efforts deliver immediate business value by enabling hands-on learning, accelerating milestone readiness, and providing a maintainable foundation for future feature work.
May 2025 focused on delivering core object-oriented capabilities for the Chicken Farm Simulator and establishing a robust repository of learning materials. Key outcomes include a functional Simulator core (Chicken class, Egg and Poop models) with a demonstrative simulator (ChickenFarmSimulator), together with a structured set of course materials and homework assets to support ongoing coursework. No critical bugs reported; activities prioritized design quality, documentation, and onboarding readiness. These efforts deliver immediate business value by enabling hands-on learning, accelerating milestone readiness, and providing a maintainable foundation for future feature work.
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