AI Native Infrastructure

What does “AI-native infrastructure” actually mean once you strip away the marketing? Tyler Hogarth and Tyler Benfield work through it from an engineer’s point of view — not a slogan, but the practical work of giving an agent enough context, access, and guardrails to troubleshoot a running system alongside you.

The conversation opens with a reframing: most teams ask how to keep a human in the loop, but the harder question is how to get the agent into the loop in the first place. The usual failure mode is access — you hand an agent documentation but no way to read live logs, inspect metrics, or act on what it finds. From there, the two dig into the skills that carry over from coding agents to infrastructure agents: treat every new agent thread as a new hire that needs real context, keep docs indexed for fast retrieval during an incident, and use subagents to keep telemetry noise out of the primary agent’s context.