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.
Continue Reading “Self-Hosting Postiz on RHEL 10: One Container, Six Platforms, Zero SaaS”
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.
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.
There’s a lot of negativity toward AI in the Fedora and RHEL communities right now. I get it — the hype cycle is real, and a lot of the marketing is insufferable. But I think the negativity is causing people to tune out, and when you tune out, you miss genuinely cool work that’s directly
Continue Reading “Local Models and Open Source Agents (and Why You Need to Pay Attention)”
I just released my first MCP server: mcp-cloudflare-crunchtools. It lets Claude Code (and other MCP-compatible AI assistants) manage Cloudflare DNS records, Transform Rules, Page Rules, and cache. But this post isn’t really about Cloudflare—it’s about how I built this server and why I think it matters for the emerging MCP ecosystem. As I’ve gotten deeper
This is the way….. Have three day planning meeting with 15 people, for a large product with 2000+ people involved in total Use Jira or other tracking software to refine Market Problems and Features Use auto-transcribe for most meetings, but have a couple of non-recorded meetings to discuss sensitive topics Share the transcripts with the
Continue Reading “If You’re Not Using AI This Way, You’re Doing it Wrong”
It was late last night. The kids were finally in bed, the house was quiet, and I found myself with that dangerous combination of exhaustion and curiosity. I had a couple of hours of freedom, and I decided to tackle something that had been itching to do for a while: getting Claude Code running on
Continue Reading “First Use of Claude Code with Insights/Lightspeed MCP Server”
