I’ve been building MCP servers for the last couple of months, and at this point I have over 25 of them wired into Claude Code. If you’re not familiar with MCP, it’s a protocol that lets AI assistants connect directly to external tools and data sources. Instead of copying and pasting information between applications, you
Continue Reading “My MCP Server Setup: A Practical Guide to Wiring AI Into Everything”
I recently wrote about giving Claude Code persistent memory using the MCP Memory Service. Go read that if you want the why. This post is about something else entirely. This post is about speed. I needed a feature in an open source project. I used an agent to write the code. A different agent reviewed
Claude Code doesn’t remember anything between sessions. Every time you start a new session, it’s a blank slate. You can stuff context into CLAUDE.md files, but that’s static text, not searchable memory. It doesn’t learn your preferences, remember your decisions, or recall the research you did yesterday. The fix is an MCP memory server. I’ve
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In large enterprise software companies like Red Hat, two organizations build the product: the Business Unit (BU) and the Engineering org. The BU owns business strategy, market positioning, pricing, and customer relationships. Engineering writes the code and ships the bits. These aren’t adversaries. They’re two halves of the same machine. Steven Sinofsky, who ran Microsoft
I replaced Buffer with a self-hosted instance of Postiz running on RHEL 10. One Podman container. Six social media platforms. Full API control. This is the technical walkthrough of what I built and what broke along the way.
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Request Tracker 4.4 reached end of life in November 2025. I’d been running RT 4.4.4 in a container on one of my Linode servers since 2020, and the upgrade to RT 6.0.2 had been sitting in my backlog for months. It’s the kind of task that’s never urgent until it is. You and I both
Continue Reading “I Upgraded Request Tracker with an AI Co-Pilot. Here’s What Actually Happened.”
I rebuilt my entire Zabbix monitoring stack — consolidating three Alpine containers into a single UBI 10 image, wiring up CloudFlare health checks, and building an IT Services dependency tree. With Claude Code and an MCP server, AI can now troubleshoot my infrastructure directly.
A practical walkthrough of setting up CI/CD for a RHEL 10 bootc workstation image using GitHub Actions, Podman, and Quay.io — including the workarounds you’ll actually need.
We’ll be heading to Atlanta this May for Red Hat Summit 2026 and I’m pleased to share that my session has been accepted. The Roadmap Beyond RHEL 10: Building RHEL the open source way (RM1169) RHEL 10 is barely out the door and people are already asking what’s next. Fair enough — it’s the right
How I set up a fully local voice pipeline for Claude Code on RHEL 10 using Whisper.cpp, Kokoro TTS, and Intel Meteor Lake GPU acceleration via PyTorch XPU — achieving a 22x speedup with no cloud dependencies.
