Productionizing an MCP-Based AI Agent with Docker, Kubernetes, CI/CD, and Observ

<h2> Your AI agent is probably missing two-thirds of what it needs </h2> <p>Most agents ship with one capability: text generation. Some get tool access — usually a single API or a

<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like

<h1> MCP Ecosystem 2026: The USB-C Standard for AI Integration is Here </h1> <h2> Executive Summary </h2> <p>The Model Context Protocol (MCP), introduced by Anthropic in November

<p>Most of us run <code>kubectl apply -f</code> dozens of times a day without thinking about the machinery it sets in motion. But when something breaks, a Pod stuck in

<h2> The Setup </h2> <p>MCP (Model Context Protocol) lets AI agents call external tools. Instead of just reading files and running bash, the agent gets structured access to APIs,

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<p>🚀 Amazon EKS — Zero to Production Roadmap</p> <ol> <li>Architecture</li> </ol> <p><a class="article-body-image-wrapper"

<p>When I joined Ericsson's R&amp;D team as an intern, our development environment had a problem that every engineer on the team silently accepted as normal: spinning up a full