Systems, automation, game-server engineering, security-minded development.
Hardcoded logic tends to scale linearly in complexity as features grow. Good configuration design often scales better because it makes assumptions explicit and testable.
Selected work. I prefer small tools that are easy to audit, deploy, and maintain.
Testing per-entity tick scaling instead of global multipliers to reduce desync in mod-heavy Rust servers.
Global multipliers increase mutation frequency everywhere, which can amplify shared-state issues. Per-entity scaling may contain side effects and simplify debugging.
Measuring how JSON-driven systems affect long-term maintenance compared to hardcoded logic.
Most “performance plugins” optimize symptoms, not causes. My approach is to trace state mutation frequency before touching multipliers.
Increasing furnace tick rate can cause desync when inventory state is shared or updated too frequently. Mitigation: isolate per-entity timers and validate side effects with measurable counters.
(If you publish real failure logs later: keep them short and factual—no excuses, no drama.)