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 →Playwright MCP (Model Context Protocol) and Playwright CLI (Command Line Interface) are two different architectures developed by Microsoft for letting AI agents control web browsers. They share the same underlying Playwright engine, but they are built around very different ideas about how browser state is delivered to the model. The biggest difference is this: Playwright CLI is optimized […]
Read More →Jev is a new “System One” AI model released by TypeSafe AI. It is designed for fast, structured decision-making rather than human-facing text generation. Instead of outputting words, it returns structured signals such as scores, probabilities, codes, or decisions for software to act on. What is Jev? How Jev works How it differs from RLHF-based […]
Read More →The Wiggle Framework is an evaluation method introduced in Meta’s research paper, “Jagged Judges: Epistemic Stability Under Perturbation.” It is designed to test how easily large language model (LLM) judges abandon their original verdicts when challenged. Why this matters Traditional LLM evaluation often measures a judge’s accuracy once against a fixed gold-standard dataset. That tells us how […]
Read More →Rethinking Jira, Confluence, and Git for Multi-Layer Products Software teams have spent the last decade debating where requirements should live. Jira and Confluence became the default answer for most organizations — until AI-assisted development started exposing real cracks in that model. With coding agents now consuming, generating, and acting on requirements directly, it’s worth revisiting […]
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