Control Plane, Not Pain: How Agentic OS Turns Linux Scheduling into a Semantic Service
The Big Idea Operating systems have always struggled with a silent mismatch: the kernel’s scheduler doesn’t know what your application actually wants. SchedCP proposes a clean solution—turn scheduling into a semantic control plane. AI agents reason about what a workload needs; the system safely handles how to observe and act via eBPF-based schedulers. This division keeps LLMs out of the hot path while letting them generate and refine policies that actually fit the job. ...