Technical Projects

Deep dives into game development challenges, architectural decisions, and the evolution from rapid prototypes to production-ready systems. Each project represents lessons learned and problems solved in the pursuit of scalable, maintainable game infrastructure.

HorizonEvents

Enterprise Minecraft Minigame Framework

v2.0 in active development

Evolved from command blocks and datapacks into a robust Kotlin plugin supporting multiple game modes with enterprise-grade architecture.

Technical Details

Four years of evolution from scrappy datapacks to enterprise-scale plugin architecture. Started with command blocks for rapid prototyping, migrated to Kotlin for performance and maintainability. Now supports Freeze Tag, Endless Maze, Capture the Flag, and Spleef with hot-reload capabilities.

Technology Stack

KotlinPaper APICoroutinesSQLiteAdventure APIMythicMobs Integration

Key Achievements

  • Hot-reload system for zero-downtime updates
  • Data-driven JSON configuration system
  • Coroutine-based schedulers for performance
  • Multi-server architecture (v2.0)
  • 38% CPU time reduction from datapack version

Technical Challenges

  • Migrating from scoreboard-based logic to event-driven architecture
  • Implementing clean lifecycle management for game states
  • Building scalable world management with snapshot/restore functionality

Project Metrics

~2000
lines Of Code
38% faster than datapack version
performance
5+ game modes
supported

Data-Driven Game Architecture

From Prototypes to Production

Production methodology

Architectural patterns for scaling game systems from rapid prototype to production-ready frameworks.

Technical Details

Developed a methodology for transitioning game prototypes from rapid-iteration datapacks to scalable plugin architectures. Focuses on maintaining iteration speed while gaining the benefits of strongly-typed systems and proper error handling.

Technology Stack

Game Design PatternsSystem ArchitecturePerformance OptimizationJSON SchemaEvent Systems

Key Achievements

  • Zero-install friction prototyping strategy
  • Seamless migration path from datapacks to plugins
  • Configuration-as-content philosophy
  • Modular component system design
  • Future-proof update compatibility

Technical Challenges

  • Balancing rapid iteration with code quality
  • Maintaining backwards compatibility during architecture changes
  • Designing intuitive APIs for non-technical contributors

Project Metrics

Used across 5+ projects
adoption
Reduced development time by 60%
efficiency
Eliminated ghost-tag bugs completely
maintainability

Minecraft Server Infrastructure

Multi-Server Game Network

Production infrastructure

Scalable server architecture supporting federated gameplay across multiple instances with seamless player experience.

Technical Details

Designed and implemented server infrastructure supporting autonomous game instances federated with larger networks. Handles player routing, state synchronization, and load balancing across multiple game servers.

Technology Stack

Server ArchitectureLoad BalancingState ManagementNetwork ProgrammingDatabase Design

Key Achievements

  • Federated network architecture
  • Seamless cross-server player transitions
  • Autonomous instance management
  • Scalable hosting strategy (Apex → Pebble → VPS)
  • Real-time performance monitoring

Technical Challenges

  • Designing stateless game sessions for scalability
  • Implementing efficient player data synchronization
  • Building resilient failure recovery systems

Project Metrics

99.5%
uptime
Supports 100+ concurrent players
capacity
<50ms average response time
latency

Performance Optimization Case Studies

From Lag to Lightning

Ongoing research

Real-world performance optimization stories, from identifying bottlenecks to implementing solutions.

Technical Details

Collection of performance optimization cases including the famous "one character off" scoreboard bug that went unnoticed for weeks, and systematic approaches to identifying and resolving game performance issues.

Technology Stack

Performance ProfilingDebuggingOptimization TechniquesMonitoring Systems

Key Achievements

  • Systematic debugging methodologies
  • Performance monitoring dashboards
  • Bottleneck identification techniques
  • Memory optimization strategies
  • Real-world case study documentation

Technical Challenges

  • Debugging complex state interactions
  • Optimizing without breaking existing functionality
  • Building comprehensive monitoring systems

Project Metrics

Average 40% performance gains
improvements
Applied to 10+ optimization projects
methodology
Comprehensive case study library
documentation

Want to Learn More?

These projects represent just a fraction of the challenges solved and lessons learned. For detailed implementation stories and technical deep-dives, check out the blog.

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