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 →A hands-on introduction to Flue, an experimental TypeScript framework for building server-side LLM agents. Covers the agent/harness/session model, three working examples from a simple translator to a container-backed coding agent, and an honest look at the trade-offs — so you can decide whether Flue fits your stack before you commit. Table of Contents You’ve decided […]
Read More →Your agentic app just ran a search. The tool returned 500 results as JSON. Your agent appended all of it and fired off an API call — 45,000 tokens to answer a question that needed maybe 4,500. Tejas Manohar, a senior engineer at Netflix, hit this problem every day. He was running out of tokens […]
Read More →If you’ve been using AI coding tools long enough, you’ve probably noticed that they all start to feel the same. Cursor, Claude Code, Codex, Amp — they’re converging on a set of common features: plan modes, permission popups, sub-agents, MCP integration, to-do tracking. More surface area, more abstraction, more decisions made for you. Pi bets against […]
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