AgentCore Launches Agent Performance Loop: Optimization, Eval, and Simulation

Full analysis

AWS AgentCore released three capabilities to close the observe-evaluate-optimize-deploy loop for production agents. Optimization analyzes production traces to recommend targeted updates to system prompts and tool descriptions, with built-in A/B testing to validate changes before rollout. Batch evaluation replays historical sessions to catch regressions, and user simulation generates realistic multi-turn conversations using LLM-backed actors to surface edge-case behaviors. Together these tools allow teams to continuously improve agent quality using real production data rather than manual intervention.