“Shock! Shock!” That’s how Professor Donald Knuth—the man who literally wrote the bible of computer science, The Art of Computer Programming—opened his latest paper. He wasn’t reacting to a scandal or a bug. He was reacting to a mathematical breakthrough. Specifically, a breakthrough made by an AI. For weeks, Knuth had been wrestling with an open […]
Read More →If you use both Cursor and Claude Dev/Code, you’ve probably noticed they both want their own configuration folders (.cursor and .claude). Keeping your custom commands, rules, and skills in sync between them usually means a lot of copying and pasting. Here is a simple way to centralize everything in one .agents folder and use symlinks to keep both tools […]
Read More →Large Language Models (LLMs) all predict text, but they differ a lot in how they follow instructions, use context, handle tools, and optimize for safety, speed, or cost. If you treat them as interchangeable, you’ll ship brittle prompts. If you treat them as different runtimes with different affordances, you’ll get reliable results. This post explains the major differences across […]
Read More →A practical guide for software engineers navigating the evolving landscape of Large Language Models Introduction: Why This Matters As a developer in 2025, you’re likely interacting with Large Language Models (LLMs) daily—whether through coding assistants, chat interfaces, or integrated APIs. But here’s the thing: not all LLMs are created equal, and the way you communicate with […]
Read More →Listen up, engineers. We are past the “wow” phase. You know what an LLM is. You’ve likely integrated an API, generated some boilerplate code, and maybe even built a RAG pipeline. But here is the hard truth: if you are pasting the exact same prompt into GPT, Claude Sonnet, and Llama using the same strategy, […]
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