Loading
The Observability Stack
A curated technical publication surface for essays, frameworks, and labs on observability for complex compute systems, from silicon to autonomous agents.
Each artifact is meant to be read, cited, or inspected. Published work comes first; research arcs are labeled honestly by maturity.
Core pillars
State capture, scan access, and debug platforms for AI/HPC silicon.
The Cost of Usable Intelligence: useful output under real constraints.
Tracing, replay, escalation, and failure taxonomy for autonomous systems.
Accelerated classical control planes for fragile quantum systems.
Featured artifacts
Frameworks
Publication roadmap