How I Deployed Hermes Agent on AWS

<p><em>This is a submission for the <a href="https://dev.to/challenges/hermes-agent-2026-05-15">Hermes Agent <br /> Challenge</a>.</em></p> <p><a

<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

<h2> TL;DR </h2> <ul> <li> <strong>DeepSeek V4 shipped April 24, 2026</strong> in two flavours: <strong>V4-Pro</strong> (1.6T MoE / 49B active) and <strong>V4-Flash</strong> (284B

<p><a href="https://dev.to/blog/part-1-aws-devops-agent-intent-vs-state">Part 1</a> framed why an org-aware DevOps agent has to bridge state and intent. <a

<p><strong>AI agent hallucinations</strong> occur when an LLM-powered agent fabricates data, selects the wrong tool, or ignores business rules during autonomous task execution.

<p>Full disclosure up front: I maintain a Railway template for this and get a kickback if you deploy through it. That's the whole pitch — everything below is the actual

<p>Starting an AI agent is easy. The hard part is what comes after: iterating on it in production without the whole thing turning into a mess.</p> <p>Requirements that belong in

<blockquote> <p><strong>Run your local Hermes Agent anywhere, then securely expose it to your backend without renting a VPS or configuring Nginx.</strong></p> </blockquote> <p>One