Using AI to Finish Multiplayer Servers for Hazel

The Cherno shows how AI was used to finish the multiplayer server side of Hazel, pushing a difficult backend milestone over the line. For developers, that makes this a useful look at where AI can actually save time: repetitive code, scaffolding, and the grind of wiring systems together.

The focus is on getting Hazel’s networking/server work completed rather than on a flashy prototype. That matters because multiplayer infrastructure tends to stall projects when the remaining tasks are tedious, error-prone, or spread across several subsystems. AI can help shorten that tail, but it still needs a developer who understands the architecture and can verify the result.

The broader implication is that AI is becoming a practical production aid, not just a content-generation tool. Teams shipping online features may find it most valuable when used to accelerate implementation and reduce context-switching, especially on systems work that is necessary but not especially creative.

For experienced developers, the interesting question is where that line sits in your own pipeline: which parts of networking, tooling, or gameplay glue are safe to delegate to AI, and which still demand hands-on control to avoid subtle bugs and maintenance debt?