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This morning my phone blew up.
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Somewhere around summer 2025 I started taking AI coding agents1 more seriously.
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I don’t normally do this … but … occasionally I want to let an AI agent run unsupervised on a task: to generate a throwaway POC, explore an implementation idea, or hack on something while I’m doing other work.
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This post continues the hellok8s-* series, following my previous exploration of deploying a Django applications to Kubernetes.
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When running applications in Docker containers, many developers overlook a critical detail: what process runs as PID 1.
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As businesses increasingly move to cloud-native architectures, the complexity of deploying and maintaining modern web applications continues to grow.
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I’ve been meaning to share the new addition to my homelab setup for a while now but just never got around to it.
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Backups are important!
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In my previous post I talked about denv and how I switch between different Kubernetes clusters.
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A while ago I decided that I was done writing anything in bash.
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For the past couple of years I’ve been learning Haskell, and while I enjoy reading new materials in forms of books, papers, blogs posts and even tweets, thankfully I quickly came to realize that the best way to learn is to build things.
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In this post I’ll try to explain the method I use to avoid having permission issues when using Docker Volumes.
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If you’ve worked with Django at some point you probably had the need for some background processing of long running tasks.
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Recently I’ve been reading more and more about Systemd.
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Docker currently supports getting logs from a container that logs to stdout/stderr.
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Recently I’ve been thinking a lot about how to simplify my code.
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I switched Blog engines because I wasn’t very happy with the one I was using (Syte) and I wanted something more simple.
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When working on web applications it’s very important to have a setup as similar to the production environment as possible.
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Took us awhile but Pixbin just got an API.
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I’ve been struggling for a while now with the idea of writing a blog.