Thoughts on software engineering, AI, and technology.
Parsing Ultima Online's binary packets, synchronizing state, and deciding when to use an LLM. Putting an AI agent into a living MMORPG requires solving more than you'd think.
Ultima Online took my youth in 1998. Staring at an empty private server, the thought of 'what if AI lived in this world' turned into a project.
Stanford researchers built a virtual village called 'Smallville' where 25 AI agents spontaneously formed a society. Reading that paper, what came to mind was the time I spent in Britannia back in 1998.
At a small embedded systems company, I'm watching a paradox unfold: the more AI boosts senior productivity, the less room there is for juniors to stand.
After four years of teaching software at a university, I've found it increasingly hard to explain to students why they should learn to code. I found part of an answer in an essay by the creator of htmx.
I was laid up with a stomach bug over the holiday, and when I finally dragged myself to my desk, Claude Code's servers were dead. And I found myself not even thinking to try Codex — even though it was right there.
I wanted to watch multi-agents work with my own eyes. Starting from the single question 'What are you doing right now?', it took two days to build a real-time dashboard and release it as open source.
If SSH works fine but the screen is frozen, a memory region conflict between efifb and vmwgfx may be the cause. The root cause and fix for this ARM64-only issue.
From a Vercel template to a fully custom shadcn/ui blog — the story of building a blog without typing a single line of code myself.
I've tried Teams, Slack, and Mattermost, and always found something lacking. Workplace chat where AI agents participate as colleagues could change that entirely.
The first thing that annoyed me when I got a MacBook was Korean/English input switching. I didn't know a single line of Swift, but I built an app with vibe coding and got it onto Homebrew.
Starting from a story about reviving a 25-year-old kernel driver, this post explores the sense of efficacy that LLMs give us — the ability to finally build things that were always necessary but that nobody ever touched.
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