I Deployed My First AgentCore Harness and Asked It About Production

<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p><em>The AWS Reliability Files, Part 1</em></p> <p>I told an AI a true fact about AWS. Then I had a second AI confidently insist it was wrong. Within one exchange, the first

<h1> Remote MCP Uptime Is Not Production Readiness </h1> <p>A remote MCP server that responds is not necessarily a remote MCP server you should trust in production.</p> <p>That

<p>Strands ships no A2A server integration, which turns out to be the easiest starting position of the three frameworks I used: you drop the agent behind the <code>a2a-sdk</code>

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

<blockquote> <p><strong>How this piece came together.</strong> A Zenn writing contest put OpenTelemetry back on my radar, and this is the record of learning it by doing — picking