Using AI to Finish Multiplayer for My Game Engine
The Cherno demonstrates a workflow where AI is used to help finish multiplayer support in the Hazel game engine, framing it as a productivity aid rather than a magic fix. The focus is on getting through the tedious, error-prone parts of networked gameplay code so the engine can move closer to a shippable state.
For developers, the interesting bit is the division of labor: AI can accelerate scaffolding, suggest fixes, and help explore implementation paths, but the hard parts of multiplayer still need human review, architecture decisions, and testing. That makes this especially relevant to programmers working on replication, synchronization, and engine tooling, where small mistakes can become expensive fast.
The broader context is familiar to anyone building engine tech: multiplayer is one of the most time-consuming systems to get right, and even modest assistance can change the pace of development. The story also reinforces a growing pattern in game dev, where AI is being folded into day-to-day engineering work as a force multiplier rather than a replacement for expertise.
- what
- The Cherno used AI to help finish multiplayer work in the Hazel game engine.
- who
- The Cherno and the Hazel engine project.
- impact
- Shows how AI can speed up networking code, scaffolding, and debugging for engine developers.
- context
- Multiplayer systems are notoriously time-consuming and error-prone to implement correctly.
Useful productivity boost, but multiplayer still needs heavy human oversight.
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