I Deployed My First AgentCore Harness and Asked It About Production
My first CloudOps agent gave me the right answer by refusing to answer. I asked: Is production healthy? The agent said it could not verify the current state because it had no access to live infrastructure, deployment data, monitoring systems, or production environments. That was not a disappointing first result. It was the boundary I wanted to prove. This was Stage 1 of a larger project. The end…
My first CloudOps agent tested the limits of its abilities by refusing to answer questions about production health. This was the first stage of a larger project aimed at creating a small CloudOps agent capable of answering such questions through a Lambda function that only reads deployment status. The agent was deployed using Amazon Bedrock AgentCore, which provides a managed Harness where the agent loop is run from configuration. No custom orchestration code, Lambdas, or infrastructure tools were configured by the user.
The Harness was given a narrow system prompt and disabled memory, with no external tools configured. The first deployment failed due to a name that exceeded the Harness name limit. Shortening the resource name resolved this issue. Another boundary was encountered when attempting to deploy due to a lack of Anthropic model access. Switching to the Amazon Nova Micro model allowed the deployment to complete successfully.
Testing the agent revealed several key lessons. The command "dev" does not mean "run only on my machine." The managed Harness flow includes various actions such as validating the project, synchronizing CDK dependencies, building and synthesizing the CDK project, checking AWS bootstrap and stack status, and persisting deployment state. Names like "dev" are not security or cost boundaries and should be inspected for where something will run.
The agent's responses showed it could admit it does not know certain information, such as the health of production. It suggested alternative signals to assess the health of the environment, like application metrics, logs, health checks, database performance, and user feedback. The agent also recognized previous user inputs when in the same session, but this was not attributed to AgentCore Memory, which is intended for persisting structured information beyond a single session.
The Harness's trace and log commands did not return any results due to the project structure, as the managed resource was declared under harnesses while the CLI commands looked for configured runtimes.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
