The work spans the entire system: how an interaction begins, how its state persists, and how it behaves under load.
Turning complex rules into components that can evolve independently.
Clear boundaries between events, state and effects make interactions easier to test and changes easier to trace.
The invisible work that keeps a shared environment consistent.
Profiling, bounded workloads and repeatable administration help investigate slowdowns and protect the continuity of player data.
Mechanics with state, consequences and interactions of their own.
Existing work connects progression, equipment and abilities. Procedural dungeon generation remains a planned extension, rather than a finished feature.
Shorter feedback loops, with evidence behind each change.
AI assists exploration and implementation. Code review, targeted tests and real usage remain part of the validation process.
Java for application logic. Git for versioning. Linux administration and scripts for repeatable operations. AI assistance for investigation and implementation, with human review and testing.