AI coding agents are fast, but they cut corners. Agent Skills is an open-source project by Addy Osmani that gives agents the same structured workflows senior engineers follow, from spec to ship. This post breaks down how it works, explains the Google engineering principles it builds on (Hyrum’s Law, Chesterton’s Fence, the Beyonce Rule, Shift […]
Read More →A viral Claude Code skill claims to cut 65% of output tokens by making LLMs talk like cavemen. Two research papers suggest forced brevity can actually improve accuracy in large models. But tokens are also compute — and nobody has benchmarked whether caveman-speak helps or hurts code quality. A look at the arguments on both […]
Read More →Getting productive in an open source project usually means understanding someone else’s repository before you can ship a useful issue or PR. The default playbook is familiar: clone the repo, read whatever README or contributing guide exists, search the tree, skim recent commits, and hope the architecture becomes clear before you lose momentum. That path […]
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 […]
Read More →Google DeepMind released Gemma 4 on April 2, 2026 under Apache 2.0. It’s their fourth-generation open model family, and it runs locally with surprisingly little friction. Here are three ways to get it going, depending on what hardware you have in front of you. Table of contents Option 1: On your phone No account, no […]
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