Nextbots: Revenge

Overview

Nextbots: Revenge is a survival-action game built around escalating enemy waves and limited resources, where fast decision-making under pressure is a key gameplay element.

The gameplay loop is based on: survive a wave → collect resources → upgrade the character → face increasingly difficult waves. Each iteration increases difficulty, creating a continuous risk/reward balance.

Development was iterative: core mechanics and balance were continuously adjusted based on player behavior and post-release feedback.

My Role

Designed core gameplay loop (waves, progression, economy)
Implemented enemy AI and behavior systems
Built loot, resource, and upgrade systems
Integrated monetization and in-game economy
Developed UI/UX game screens and states
Optimized performance for WebGL and mobile platforms

Collaboration & Feedback Loop

Worked with game designers on difficulty tuning and pacing
Collaborated with UI/UX designer to improve clarity and user experience
Analyzed player feedback after releases and updates
Iteratively adjusted balance based on player behavior and metrics
Participated in improving core loop and retention systems
Translated product ideas into implementable technical solutions

Technical Highlights

Implemented wave system with dynamic difficulty scaling, increasing average player retention
Built scalable AI using state-machine architecture, allowing easy expansion without refactoring core systems
Optimized spawn system for WebGL, improving FPS stability and reducing runtime overhead
Introduced MVC/MVP architecture, improving feature development speed (~20–25%)
Reduced CPU load by simplifying AI runtime logic and update frequency

Tech

Unity 2023 C# MVC MVP Yandex SDK

Metrics