Optimizing agent system prompts with Amazon Bedrock AgentCore

In a previous launch post , we introduced AgentCore optimization, a capability of Amazon Bedrock AgentCore that can help you improve the quality of your agents. Improving a low-scoring agent has traditionally been a manual process. You review long traces to find where the agent goes wrong, tune individual components such as prompts, tool descriptions, and skills, and rerun evaluations to check for improvement. With AgentCore optimization, you can use production traces to propose configuration changes, validate them