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Build an AI-powered AWS support companion with Amazon Bedrock AgentCore | Amazon Web Services
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent.
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aws.amazon.com
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore | Amazon Web Services
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through…
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Build a serverless image editing agent with Amazon Bedrock AgentCore harness | Amazon Web Services
This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on…
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yourstory.com
Building production agents using AWS’s open source Strands Agents SDK
At DevSparks Bengaluru 2026, AWS Developer Advocate Ashita Prasad walked developers through building a fully functional, production-ready AI agent from scratch using Strands…