Every chat with Claude starts with a hidden briefing. Anthropic publishes it. Here’s what’s in it, why it exists, and how it grew roughly 40x in just over two years. Table of Contents TL;DR What is a system prompt? Picture Claude as a brilliant new hire who has read most of the internet, then got […]
Read More →Imagine hiring a brilliant assistant, handing them a 200-page manual, and asking a question. They read all 200 pages, answer, and then promptly forget everything. Next question? They read all 200 pages again. And you pay them by the page. That’s roughly how large language models (LLMs) work by default. Prompt caching is the fix. […]
Read More →A practical guide for developers navigating Claude Code, Cursor, Copilot, Windsurf, Codex, and beyond. You switch from Cursor to Claude Code. Or from Copilot to Windsurf. The interface is different. The shortcuts are different. The config file has a new name. And for a moment, it feels like you’re starting from scratch. You’re not. Under […]
Read More →The ecosystem of “AI skills” — modular instruction packs that extend an LLM with task-specific know-how, whether they’re called Skills, plugins, agents, MCP servers, system-prompt templates, or tool bundles — has exploded fast enough that “which one should I use?” has become the dominant question. The answer is rarely obvious from a README, and almost […]
Read More →A plain-English reference guide covering the jargon that shows up every time a new language model drops, from parameter counts to quantization methods. Contents 01 · Architecture & Model Design — Transformer · Dense Model · Mixture of Experts · Active Parameters · Feed-Forward Network · Layers · Hidden Dimension · Attention Heads 02 · Attention Mechanisms — Multi-Head Attention · Multi-Query Attention · Grouped-Query Attention · KV Cache · Sliding Window Attention · RoPE · RoPE Theta 03 · Sizing, Scale & Counting — Parameters · Embedding Parameters · Non-Embedding […]
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