# Optimizing agent system prompts with Amazon Bedrock AgentCore

DevFeed: [Optimizing agent system prompts with Amazon Bedrock AgentCore](<https://devfeed.tech/articles/optimizing-agent-system-prompts-with-amazon-bedrock-agentcore-31522.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/optimizing-agent-system-prompts-with-amazon-bedrock-agentcore/>)

Author: Han Ding

Published: 2026-09-16T15:47:39Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Amazon Bedrock AgentCore](<https://devfeed.tech/topics/amazon-bedrock-agentcore.md>), [Prompt optimization](<https://devfeed.tech/topics/prompt-optimization.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [Traces](<https://devfeed.tech/topics/traces.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [A/B Testing](<https://devfeed.tech/topics/a-b-testing.md>), [Automated prompt engineering](<https://devfeed.tech/topics/automated-prompt-engineering.md>)

Tags: [a-b-testing](<https://devfeed.tech/tags/a-b-testing.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-bedrock-agentcore](<https://devfeed.tech/tags/amazon-bedrock-agentcore.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [prompt-optimization](<https://devfeed.tech/tags/prompt-optimization.md>), [system-prompts](<https://devfeed.tech/tags/system-prompts.md>), [traces](<https://devfeed.tech/tags/traces.md>)

## AI overview

This technical companion explains how Amazon Bedrock AgentCore's system prompt optimizer uses production agent traces and reward signals to propose revised system prompts. It describes the reflector engine, recommendation explanations, offline batch evaluation, online A/B testing, and promotion workflow, and reports benchmark results for Single Agent Reflector and the experimental open source Sub-Agent Reflector.

## Source excerpt

AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Reflectors.