lighthouse

This article from Chrome Developers details the agentic browsing category in Lighthouse, which evaluates how ready websites are to interact with AI agents. The category focuses on data collection and providing actionable signals rather than a traditional numerical score, and includes audits for WebMCP, accessibility, and content stability.

A collection of agent skills by Google engineer Addy Osmani for web quality audits, performance optimization, SEO, accessibility, and Core Web Vitals, installable via npx add-skill.

The article introduces the concept of the TBT Window, a missing front-end performance metric that highlights total blocking time between First Contentful Paint and Time to Interactive, illustrated through a case study where a client's TBT spiked from 495 ms to 5,789 ms.

Google's Chrome Lighthouse now includes an audit for llms.txt files as part of its new Agentic Browsing category, evaluating site readiness for AI agents.