AI‑SRE stalls without a unified view of code, infra, signals, and tribal knowledge
Senior SREs say AI‑driven automation stalls not because models are weak, but because they lack a unified view of code, infrastructure, runtime signals, and tribal knowledge. Without stitching these four contexts together, autonomous actions miss critical cues and can cause outages. The post outlines this "4‑body problem" and why solving it is essential for reliable AI ops.