The 5 Types of Engineering Context Your AI Agent Needs to Be Useful in Production

AI agents fail in production engineering environments not because of model capability, but because they lack grounding data. This post breaks down the five specific context categories: service ownership, deployment state, incident history, tech standards, and runbooks. These determine whether an agent returns useful output or generic noise, and why most orgs already have this data but haven’t made it queryable.