Nextbots: Revenge is a systems-driven wave survival game built around scalable combat loops, modular gameplay architecture, and long-term live content support.
The project focused on extensibility, gameplay iteration speed, and maintaining stable runtime behavior under WebGL and mobile constraints.
Core development priorities included AI systems, combat scalability, progression architecture, and performance optimization for low-end hardware targets.
Optimization and balancing decisions were continuously validated against live gameplay sessions and production runtime behavior.
Issue: CPU spikes during high-density enemy waves.
Root cause: Expensive per-frame AI evaluation and update execution across active entities.
Fix: Optimized tick scheduling and reduced unnecessary update frequency for non-critical AI systems.
Result: Reduced peak gameplay script time from ~6–9 ms to ~2–4 ms during combat-heavy scenarios.
Issue: Gameplay iteration slowed down as systems became more interconnected.
Root cause: Growing dependency complexity between combat, progression, and reward systems.
Fix: Refactored gameplay logic into more isolated modular systems with clearer ownership boundaries.
Result: Reduced average feature integration time from ~4–6 hours to ~1–2 hours for medium gameplay updates.
Issue: Frame pacing instability during intensive wave combat on low-end devices.
Root cause: CPU-heavy combat calculations and uneven update distribution.
Fix: Optimized combat update flow and reduced expensive runtime operations inside hot gameplay loops.
Result: Stabilized frame pacing and improved worst-case FPS from ~35–45 FPS to stable ~55–60 FPS under heavy combat load.
