Definition

Self-Healing Infrastructure

A system where AI agents detect when a service has failed, identify the root cause, fix it, and deploy the fix — all without human intervention. Used by James Everingham as a 'science fiction challenge' at Meta to drive organic agent adoption.

From the episode “Speed Is Killing AI Startups”

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Related terms in Agents & Automation

Process Redesign (AI-Native)Designing workflows from scratch based on what AI makes newly possible, rather than automating existing steps. Geoff's key distinction: existing processes are engineered around human cognitive limits (six to seven post-it notes, six to seven ideas, focus group testing). AI-native redesign discards those constraints: generate 300 customer needs, 400 product ideas, synthetic-test all of them, and only bring human judgment to bear on the handful that survived automated filtering. The result isn't a faster version of the old process — it's a fundamentally different architecture.Prompt engineeringCrafting the instructions you give an AI model so it reliably produces the output you want.Retro Agent RetirementWhen a redundant agent's job gets reabsorbed by another role and its memory rolls into the organizational record. The agentic equivalent of a restructuring.Routine (automated watcher)An automated watcher, referenced in the episode as R3 and R5, that triggers the next action when a status changes.Single-Player AgentAn agent used by one person in a private or local workflow.Sub-agentsSpecialized child agents spawned to work in parallel on pieces of a larger task. Mike Vitez reports using more than forty in parallel for one research project.Swarm of AgentsThe predicted future state of enterprise AI: not one monolithic super-agent, but hundreds or thousands of specialized agents handling specific tasks in parallel. Specialized agents are more debuggable and reliable than any single black-box agent designed to do everything.Vibe codingBuilding software by describing it in natural language to an AI coding tool.