Auto-aggregated global tech articles · 46 posts
Linggen is two binaries written in Rust: ling and ling-mem. ling is an agent system, similar to Claude Code or Codex — but it isn't only a harness for writing code or docs. It's also an engine for AI-native apps. I extended the skill system so a skill is an app, with its own web UI. The ones I've bu
Version 2026.09, code-named "Hättiwaritätti", of the Debian-based Grml live Linux distribution for system administrators has been released. It is based on packages from the upcoming Debian 14 ("forky") release. Notable changes include an update to the Linux 7.1.8 kernel, support for booting from exf
I stumbled across Carbon-aware electricity pricing during a break and ended up poking at it far longer than planned. The idea is simple but useful: track daily electricity pricing across 38 grids so engineers can think about when workloads run, not only how much compute they consume. That distincti
Table of Contents Why Try an MoE Model? What MoE Means in Plain English The Cost-Effective AI Home PC I Am Targeting Install llama.cpp Download a GGUF Model Start the Model Fit the Model to Your Hardware Useful Local GenAI Projects What to Expect A Few Safety Checks Final Thoughts Running a loc
I deleted a scheduled task yesterday, deployed it, watched five checks pass, and then found the task still running on the server. The task was worth deleting. It ran every hour on Celery Beat and its entire body was this: # TODO: Implement actual cleanup logic cleaned_count = 0 # Placeholder l
What Actually Happens When You Run docker run You type docker run -d --memory 512m myapp:latest and hit Enter. A second later, a container is running. It feels like one action. It is not. Behind that single command, four separate programs hand work down a chain, an image gets pulled apart into la
Docker starts today. After fourteen days of Git, the track moves to containers, and it opens with the least glamorous task available: install the packages and start the service. Both halves of today turned out to be about time. When something starts, how long it takes, and what still holds after a
our staging environment has drifted so far from prod that I've basically stopped trusting it. it happened gradually -- a config change here, a manual fix there, someone needed something 'just for testing' and now the state is a mess. I've seen people suggest infra-as-code, automated deploys to stagi
Most AI agents don't fail the way they do in demos. They fail later, and quieter: a task runs at 2 AM, fails silently, nobody gets alerted, and you discover it the next morning — a full day of work gone. We run MeshCtx on a small three-machine cluster. Today's health check comes straight from a pro
I’m sharing HaloLog, a structured logger I have developed for three years and run inside an interoperability project for the past two. Its goal is low-overhead structured logging without trading away JSON correctness, race safety, configured PII masking, or compile-checked telemetry fields. This is
When you do not need a full Linux box. I have a drawer full of Raspberry Pis. Pi 3s, Pi 4s, a Pi 5 that runs hot enough to warm my office. I love them. But over the last two years, I have quietly replaced almost half of them with $7 ESP32s and I have not looked back. A Pi is a full Linux computer.