The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AI

תקציר מקורי באנגליתAI changed how we write code. But 70% of engineering time goes to running and fixing it. Varun Krovvidi, product marketing lead at Resolve AI, explains why AI that writes code well still struggles to run production. Code is self-documenting, modular and a single domain. Production spans code, infrastructure, telemetry and many teams, and needs one correct answer. He covers where agents crack as you scale: anchoring bias and the model treadmill, too much or too little context, coherent answers that aren't causal, missing guardrails, and no learning across investigations. Then he lays out six pillars of a harness that fixes them: model orchestration, context engineering, causal reasoning, governed actions, learning systems and evals. He finishes with a demo of Resolve AI turning a Grafana al