AI code reviewers are everywhere now. Open a pull request, and a bot jumps in with comments: a possible bug here, a missing test there, a nitpick about naming. But here’s the awkward question nobody could answer well: which of these AI reviewers is actually good? And if you’re building your own code review tool, […]
Read More →A fact-first look at what Astryx is, where it shines, and where it falls short against established design systems. Based on the official docs and the GitHub repo. Table of Contents TL;DR Astryx is Meta’s open-source React design system, extracted from eight years of internal use across 13,000+ apps. Its standout traits are AI-agent tooling […]
Read More →Picture a warehouse stocked with every power tool ever made. Now picture the lights off, no labels, and no inventory list. That’s roughly where AI assistants are today. Modern AI clients like Claude, ChatGPT, Copilot, and Gemini aren’t limited to what the model knows anymore. They can plug into external tools, MCP servers, APIs, Skills, […]
Read More →Running LLMs locally has become a normal part of how developers work. Two tools dominate this space: llama.cpp and Ollama. They look like competitors, but the relationship is more direct — Ollama is built on top of llama.cpp. This post covers the technical differences, where each performs better, and when to use one versus the other. Table of […]
Read More →Ranking repos by stars favors visibility over fit. That can be a fair first filter—stars are cheap and usually mean someone noticed the project—but treating the count as proof of quality, maintenance, or production readiness is the common mistake. What follows is what stars actually measure, where they mislead, and what to check on the […]
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