
Kevin Phan developed core combat and AI systems for the RetroRobotRumble repository, focusing on scalable enemy behaviors, boss mechanics, and robust physics interactions. Over seven months, he delivered features such as a unified enemy health system, dynamic spawning, and a modular boss attack framework using C#, Unity, and ScriptableObjects. His work included refactoring for maintainability, implementing navmesh-based pathfinding, and introducing data-driven attack definitions to accelerate iteration. By addressing collision detection, knockback stability, and code organization, Kevin improved gameplay consistency and reduced bug risk. The depth of his engineering enabled rapid feature development and a more reliable, extensible codebase.
March 2026 (2026-03) monthly summary for kennedyat/RetroRobotRumble: Delivered player-centric boss fight enhancement by removing forced Phase 2, enabling players to choose attack patterns and adjust attack parameters; performed a focused test environment overhaul to support upcoming content; and hardened core physics interactions by refactoring knockback to use the local Rigidbody reference. These changes increase player agency, accelerate iteration cycles, and improve code maintainability.
March 2026 (2026-03) monthly summary for kennedyat/RetroRobotRumble: Delivered player-centric boss fight enhancement by removing forced Phase 2, enabling players to choose attack patterns and adjust attack parameters; performed a focused test environment overhaul to support upcoming content; and hardened core physics interactions by refactoring knockback to use the local Rigidbody reference. These changes increase player agency, accelerate iteration cycles, and improve code maintainability.
February 2026 monthly summary for kennedyat/RetroRobotRumble. Delivered major boss-phase mechanics updates, expanded Omega attack repertoire, and foundational code hygiene improvements that stabilize the gameplay loop and enhance scalability. Key outcomes include Phase 2 mechanics verification, Omega-based attack suite completion, and a restructured, more navigable codebase with improved tooling and documentation. These efforts increase player engagement, reduce runtime risk, and set a path for QA-driven polish in upcoming sprints. Technologies include Unity, ScriptableObjects, coroutines, nav mesh, LOS, and UI reticles.
February 2026 monthly summary for kennedyat/RetroRobotRumble. Delivered major boss-phase mechanics updates, expanded Omega attack repertoire, and foundational code hygiene improvements that stabilize the gameplay loop and enhance scalability. Key outcomes include Phase 2 mechanics verification, Omega-based attack suite completion, and a restructured, more navigable codebase with improved tooling and documentation. These efforts increase player engagement, reduce runtime risk, and set a path for QA-driven polish in upcoming sprints. Technologies include Unity, ScriptableObjects, coroutines, nav mesh, LOS, and UI reticles.
January 2026 performance summary for kennedyat/RetroRobotRumble: Delivered foundational navigation, data-driven attack design, and a playable final-boss prototype, while delivering stabilization and refactoring that enable scalable future work. Highlights include navmesh setup with obstacle integration, core logic restructuring with scriptable object-based attack definitions, first-boss attack implementation and surrounding scaffolding, major AI/level improvements for ranged and elite enemies, and stability fixes such as a save-persistence fix and improved player hit feedback. These efforts improved AI reliability, gameplay consistency, and maintainability, enabling faster iteration, safer merges, and a stronger foundation for upcoming features.
January 2026 performance summary for kennedyat/RetroRobotRumble: Delivered foundational navigation, data-driven attack design, and a playable final-boss prototype, while delivering stabilization and refactoring that enable scalable future work. Highlights include navmesh setup with obstacle integration, core logic restructuring with scriptable object-based attack definitions, first-boss attack implementation and surrounding scaffolding, major AI/level improvements for ranged and elite enemies, and stability fixes such as a save-persistence fix and improved player hit feedback. These efforts improved AI reliability, gameplay consistency, and maintainability, enabling faster iteration, safer merges, and a stronger foundation for upcoming features.
December 2025 performance summary for kennedyat/RetroRobotRumble. Delivered a cohesive Enemy System Overhaul, improved spawning and militia management, and a layer-based collision/projectile framework, plus targeted combat balance and visuals. These changes standardize enemy behavior, enable scalable spawning, and improve physics accuracy and player feedback, driving stability, extensibility, and faster iteration. Key outcomes: - Enemy System Overhaul: standardized inheritance, mandatory death state for all enemies, and serialized fields with tooltips. - Dynamic Spawning: militia auto-registration and prefab-embedded spawn points with per-enemy spawn costs. - Layered Collision/Projectile: comprehensive layer management across enemies and projectiles, with init and lifetime handling. - Combat Balancing/Visuals: fixed damage displays, improved knockback, and texture updates. Impact: reduced bug surface, faster feature work, and clearer business value through reliable combat dynamics and easier maintenance.
December 2025 performance summary for kennedyat/RetroRobotRumble. Delivered a cohesive Enemy System Overhaul, improved spawning and militia management, and a layer-based collision/projectile framework, plus targeted combat balance and visuals. These changes standardize enemy behavior, enable scalable spawning, and improve physics accuracy and player feedback, driving stability, extensibility, and faster iteration. Key outcomes: - Enemy System Overhaul: standardized inheritance, mandatory death state for all enemies, and serialized fields with tooltips. - Dynamic Spawning: militia auto-registration and prefab-embedded spawn points with per-enemy spawn costs. - Layered Collision/Projectile: comprehensive layer management across enemies and projectiles, with init and lifetime handling. - Combat Balancing/Visuals: fixed damage displays, improved knockback, and texture updates. Impact: reduced bug surface, faster feature work, and clearer business value through reliable combat dynamics and easier maintenance.
November 2025 Monthly Summary for kennedyat/RetroRobotRumble: Delivered a cohesive set of gameplay enhancements, stability fixes, and tooling improvements that directly increase player engagement, maintainability, and deployment readiness. The month focused on unifying enemy damage/health mechanics, expanding combat dynamics, and stabilizing core interactions while enabling scalable future work.
November 2025 Monthly Summary for kennedyat/RetroRobotRumble: Delivered a cohesive set of gameplay enhancements, stability fixes, and tooling improvements that directly increase player engagement, maintainability, and deployment readiness. The month focused on unifying enemy damage/health mechanics, expanding combat dynamics, and stabilizing core interactions while enabling scalable future work.
October 2025 Monthly Summary for kennedyat/RetroRobotRumble: Delivered substantial combat polish, improved testing workflows, and ensured accurate gameplay metrics. Business value centers on reliable enemy behavior, safer tuning, faster iteration, and credible damage stats.
October 2025 Monthly Summary for kennedyat/RetroRobotRumble: Delivered substantial combat polish, improved testing workflows, and ensured accurate gameplay metrics. Business value centers on reliable enemy behavior, safer tuning, faster iteration, and credible damage stats.
September 2025 focused on stabilizing combat interactions and laying groundwork for future durability features in RetroRobotRumble. Delivered a robust enemy health system with projectile-based damage and centralized damage handling, and resolved critical projectile tagging issues across multiple prefabs to ensure accurate collision detection and prevent unintended interactions with vehicles. Also performed targeted refactors to clarify CoolCarBehavior variables and tooltips, improving maintainability and developer clarity. These changes enhance gameplay realism, reduce bug risk, and prepare the codebase for upcoming features like lifesteal or damage counters.
September 2025 focused on stabilizing combat interactions and laying groundwork for future durability features in RetroRobotRumble. Delivered a robust enemy health system with projectile-based damage and centralized damage handling, and resolved critical projectile tagging issues across multiple prefabs to ensure accurate collision detection and prevent unintended interactions with vehicles. Also performed targeted refactors to clarify CoolCarBehavior variables and tooltips, improving maintainability and developer clarity. These changes enhance gameplay realism, reduce bug risk, and prepare the codebase for upcoming features like lifesteal or damage counters.

Overview of all repositories you've contributed to across your timeline