During March 2025, Calliste contributed to the Humber-Game-Production/GAME259_2025_Winter_A repository by developing a robust AI upgrade and testing infrastructure using C++ and Unreal Engine Blueprints. They consolidated AI behaviors, integrating retreat, payload, and firewall workflows with enhanced perception and Environment Query System (EQS) context. Calliste established an end-to-end AI flow where agents respond to sounds, navigate to payloads, and interact dynamically with firewalls, leveraging blackboard systems and behavior trees. By expanding testing assets and improving asset management, they enabled faster iteration and more realistic enemy behavior, resulting in deeper gameplay fidelity and more efficient quality assurance within the development pipeline.
March 2025 performance summary for Humber-Game-Production/GAME259_2025_Winter_A. Focused on delivering a robust AI upgrade and testing infrastructure. Key work included consolidating AI behaviors with retreat/payload/firewall workflows, improving perception and EQS context, and setting up extensive testing assets to accelerate iteration. The work established end-to-end AI flows: AI hearing a sound prompts movement to the payload, then to the firewall guided by EQS, with payload pickup interfaces enabling dynamic interactions. Additional improvements touched asset management, environment integration, and Blackboard/EQS infrastructure (e.g., payloadlocation, BT integration, and new firewall context). This month’s changes enable faster development cycles, more realistic enemy behavior, and stronger QA feedback loops, delivering clear business value in gameplay fidelity and engineering efficiency.
March 2025 performance summary for Humber-Game-Production/GAME259_2025_Winter_A. Focused on delivering a robust AI upgrade and testing infrastructure. Key work included consolidating AI behaviors with retreat/payload/firewall workflows, improving perception and EQS context, and setting up extensive testing assets to accelerate iteration. The work established end-to-end AI flows: AI hearing a sound prompts movement to the payload, then to the firewall guided by EQS, with payload pickup interfaces enabling dynamic interactions. Additional improvements touched asset management, environment integration, and Blackboard/EQS infrastructure (e.g., payloadlocation, BT integration, and new firewall context). This month’s changes enable faster development cycles, more realistic enemy behavior, and stronger QA feedback loops, delivering clear business value in gameplay fidelity and engineering efficiency.
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