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If you used LLMs for coding before the coding agents (~prior to Claude Code release in Feb last year), and if you got annoyed with typing the same context into LLM chat boxes, you’d start saving it into per-project markdown files. Many of those who used LLMs heavily ended up doing this eventually. Then we got Claude Code and other agents, and by mid-summer, this technique got formalized as the AGENTS.md file and its tool-specific equivalents like CLAUDE.md, .cursor/rules, and .github/copilot-instructions.md. A few of us have been doing this before it had a name. At a bigger scale, that’s what happened to me with “Harness Engineering.” ...

I find Reddit is one of the best sources for practical cooking tips. I’m subscribed to a few cooking subreddits, and every once in a while I come across something curious enough to try. Most of the time the advice works wonders. I decided to give an AI agent a task: explore Reddit’s cooking and baking communities for useful, unconventional tips that are highly upvoted and community-verified. It went through years of posts across r/Cooking, r/AskCulinary, r/KitchenConfidential, r/Baking, r/EatCheapAndHealthy, and r/foodhacks. Here’s what it came up with. ...

This week the new Trump administration announced new tariffs on key trading partners, Canada and Mexico. Both countries vowed to retaliate, and tensions are high: “Canada imposes 25% tariffs in trade war with US” Living in Canada, I am obviusly curious about the impact this will all have both both sides of the border. I am a self-described economics nerd: having never studied economics, I try to read and listen about when I have spare time. One other topic that’s been on my mind recently is the recent release of the DeepSeek R1 model and the the release of the OpenAI O3 model that followed. Both are SOTA (as of Feb 2025) LLM models that were trained to “reason” before providing an answer through a chain of thought Reinforcement Learning: ...