
Stefan Beskin developed core gameplay systems for the GrimmsGambit repository, focusing on card-based combat, persistent player data, and robust health management. He engineered a modular card system in Unity using C# scripting, enabling real-time card actions, affix customization, and reliable resource checks. Stefan implemented a centralized save system with JSON serialization to ensure player progress and character health persist across sessions and scene transitions. His work included UI flows for new and saved games, narrative encounter enhancements, and project structure reorganization for maintainability. Through targeted bug fixes and code organization, he improved stability, data integrity, and future development velocity.

March 2025 monthly summary for best-koi/GrimmsGambit focused on stabilizing core gameplay loops, improving maintainability, and enabling reliable feature iteration. Key work included implementing user-facing game state flows, hardening health/encounter logic, robust card deck initialization, and reorganizing project structure to support future development velocity.
March 2025 monthly summary for best-koi/GrimmsGambit focused on stabilizing core gameplay loops, improving maintainability, and enabling reliable feature iteration. Key work included implementing user-facing game state flows, hardening health/encounter logic, robust card deck initialization, and reorganizing project structure to support future development velocity.
February 2025 monthly highlights for GrimmsGambit: implemented robust persistence, per-character health, enhanced narrative interactions, and UI/map flow improvements to boost player continuity and business value. Key features delivered include a centralized SaveDataJSON for saving/loading player data (deck, heirlooms, settings) with persistence across scene transitions and startup; per-character health (current/max HP) with save/load support and health-related narrative effects; enhanced narrative encounters with stat changes, dictionary-based choice tracking, and standardized health outcomes across encounters; Shop UI and item acquisition refinements for cards/heirlooms; and Campfire and map flow improvements to streamline return to the main map and UI configuration. Major bugs fixed include resolving potential HeirloomDisplay null reference during Awake initialization and fixing Save File Path Errors to prevent startup/load failures. Overall impact: increased player retention and progression reliability, enabling longer journeys and richer content with robust persistence and health mechanics. Demonstrated technologies/skills: persistent data modeling via centralized SaveDataJSON, per-character HP state management, dictionary-based narrative tracking, ScriptableObject adjustments, and UI/data-flow refinements.
February 2025 monthly highlights for GrimmsGambit: implemented robust persistence, per-character health, enhanced narrative interactions, and UI/map flow improvements to boost player continuity and business value. Key features delivered include a centralized SaveDataJSON for saving/loading player data (deck, heirlooms, settings) with persistence across scene transitions and startup; per-character health (current/max HP) with save/load support and health-related narrative effects; enhanced narrative encounters with stat changes, dictionary-based choice tracking, and standardized health outcomes across encounters; Shop UI and item acquisition refinements for cards/heirlooms; and Campfire and map flow improvements to streamline return to the main map and UI configuration. Major bugs fixed include resolving potential HeirloomDisplay null reference during Awake initialization and fixing Save File Path Errors to prevent startup/load failures. Overall impact: increased player retention and progression reliability, enabling longer journeys and richer content with robust persistence and health mechanics. Demonstrated technologies/skills: persistent data modeling via centralized SaveDataJSON, per-character HP state management, dictionary-based narrative tracking, ScriptableObject adjustments, and UI/data-flow refinements.
January 2025: Focused stability, reliability, and data groundwork for GrimmsGambit. Delivered four high-impact items across the repo: stabilized gameplay across encounters by resetting event delegates; fixed initialization order to prevent null references when subscribing to deck events; corrected discard logic to prevent cards disappearing from hand; and implemented a core save-system structure with JSON serialization to manage player data. These changes reduce crash surfaces, improve UX consistency, and lay the foundation for persistent player data across sessions.
January 2025: Focused stability, reliability, and data groundwork for GrimmsGambit. Delivered four high-impact items across the repo: stabilized gameplay across encounters by resetting event delegates; fixed initialization order to prevent null references when subscribing to deck events; corrected discard logic to prevent cards disappearing from hand; and implemented a core save-system structure with JSON serialization to manage player data. These changes reduce crash surfaces, improve UX consistency, and lay the foundation for persistent player data across sessions.
Month 2024-11 — GrimmsGambit delivered a robust Card System core and combat loop, plus enhancements to affixes and UI, with targeted bug fixes that stabilize and accelerate gameplay. The work established a solid foundation for future card-power experiments and live-ops balance, while delivering tangible improvements to gameplay flow and user experience.
Month 2024-11 — GrimmsGambit delivered a robust Card System core and combat loop, plus enhancements to affixes and UI, with targeted bug fixes that stabilize and accelerate gameplay. The work established a solid foundation for future card-power experiments and live-ops balance, while delivering tangible improvements to gameplay flow and user experience.
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