移动可观测性需要实时全保真数据，才能让 AI 代理自主调查和修复线上问题

来源证据

移动端遥测收集受多天应用发布周期、网络连接可靠性以及规模/定价限制，导致现有可观测性工具依赖高度采样和过期数据，AI 代理在移动端几乎盲目操作。

that's been impossible on mobile devices, with multi-day app release cycles, unreliable network connectivity, and scale and pricing structures severely limiting the telemetry being collected. As a result, all other observability tools rely on heavily sampled and stale data. Agents can only be as smart as the data they see, and on mobile, most have been operating blindly. Working with minimal visibility and interpolated data means they’re fixing the wrong problems. The bitdrift approach to mobile