December 2025 monthly summary for PurdueSIGGD/SIGGD-GAME-2025. Focused on delivering high-impact gameplay features and stabilizing core systems to accelerate level design and player engagement. Major work centered on territory and boundary tooling, along with AI enhancements to create a richer, more dynamic player experience. Key features delivered: - Territory and boundary editor enhancements: Implemented dynamic boundary manipulation, improved UI/visuals, Unity editor integration, and boundary baking improvements. Added sprinting to the new movement system to boost exploration and player flow. - Hyena AI and enemy behavior improvements: Refined attack logic, movement patterns, and sensory detection to deliver a more dynamic and responsive enemy experience. Major bug fixes and stability improvements: - AI stability: Reduced edge-case bugs in enemy movement and sensing, contributing to smoother combat and fewer unintended detections. Overall impact and accomplishments: - Accelerated level-design throughput through richer editor tooling and pipelines, enabling designers to iterate faster. - Enhanced player engagement with more responsive AI and more expressive territory-based gameplay, driving longer play sessions and better retention potential. - Demonstrated end-to-end capability from tooling to gameplay: Unity editor integration, boundary baking, and AI scripting, aligning with product goals and quality standards. Technologies and skills demonstrated: - Unity, C#, AI scripting, editor tooling, UI/visual polish, and gameplay systems integration. - Focus on maintainability, iteration speed, and scalable design for future features.

November 2025 focused on delivering a robust, tunable AI and spawning framework along with terrain/navigation optimizations to improve gameplay pacing and performance. Key features delivered include a Mob Spawning System revamp with dynamic control and simplified maintenance, advanced Agent AI and Hyena behavior improvements for more realistic hunting and navigation, and Terrain/NavMesh optimization to boost AI performance and gameplay smoothness.

October 2025 (2025-10) – PurdueSIGGD/SIGGD-GAME-2025: Delivered core survival AI, enhanced predator dynamics, and scalable social behavior, underpinned by stability improvements to support rapid iteration and future expansion. Key work focused on implementing a Hunger-driven AI and Survival System (GOAP groundwork, hunger management, eating behavior, hunger-based damage, spawner integration, and perception enhancements) to enable realistic agent decision-making and resource management effects; Hyena Combat & AI Enhancements adding new combat maneuvers and AI behaviors (lunging, circling, fear responses) with updated navigation and sensors; Pack-based Agent Social Dynamics introducing PackCapability for pack growth and follower behavior; plus Bug Fixes and Polish addressing enabling, spawn counts, and balance for a smoother gameplay experience. A config-injection mechanism was also introduced to tune AI parameters at runtime, accelerating iteration and reducing risk during balancing. Overall, these changes elevate realism, gameplay engagement, and maintainability, while establishing a robust foundation for future content and tuning.