Tutorial: Enforce Beauty AR Device Policies in CI Before They Reach Users

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A new developer tutorial demonstrates how to build a policy gate for Tencent RTC Beauty AR integrations that prevents expensive effects like GAN and 3D segmentation from running on low-end devices. The approach encodes rollout decisions — such as which effects are permitted per device tier and what fallback profiles apply — directly as versioned, testable code. A lightweight Node.js project structure validates profile configurations, detects cyclic or incomplete fallback chains, and exposes runtime states including applying, degraded, and blocked. The validation runs entirely within GitHub Actions CI without requiring a camera or any live Beauty AR asset. The tutorial positions device classification as an application-specific input, encouraging teams to base tier assignments on measurements from their own supported hardware rather than generic benchmarks.

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