ToolsThe story, in brief
Introducing the agent performance loop: AgentCore Optimization now in preview
AWS ships AgentCore Optimization: the first production feedback loop for AI agents. Batch eval + A/B testing built in.
The KeyNews take
Why it matters
AWS is addressing a real pain point for teams running agents in production—quality degradation over time. This tooling moves agent ops from manual tweaking to systematic optimization, lowering the bar for deploying reliable agents at scale.
The key facts
5 to knowAgentCore Optimization now in preview
Feature set includes production trace analysis, batch evaluation, A/B testing
Solves agent quality degradation as models evolve and prompts drift
AWS machine learning platform expansion into agent lifecycle management
Product targets teams already shipping agents, not agents themselves
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for.…
