Agentic Development in Unreal Engine with Rider | Unreal Fest Chicago 2026

Generic AI generates code and solves the easy part. The hard parts of Unreal Engine development—like Gameplay Ability System (GAS) bootstrap, build triage, DataTable authoring, crash debugging, mobile configuration—happen in the editor, in engine subsystems, and across a web of interdependent config files that generic AI consistently gets wrong.

This session recorded at Unreal Fest Chicago 2026 introduces a practical stack—JetBrains Rider, the Agent Communication Protocol (ACP, an open agent protocol like LSP for AI agents), and UE-specific skills running through AgentBridge—that gives AI agents eyes and hands inside the editor, not just access to your source files.

JetBrains covers the complete development lifecycle: architecture consultation, C++ scaffolding with correct GAS replication setup, ability authoring with GameplayEffects, crash triage, actor placement from a text brief, and automated testing.

Find out more about Unreal Engine here: unrealengine.com

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