This post wraps up the series of posts I created about applying ML to some developer tasks that are hard to do programatically. Specifically, I wanted to create a tool that would let me detect if an anchor on a page <a> was styled to look like a button or not (woot, it worked!) You can check out the previous posts here: Scraping images of links and buttons to train an ML model
I created a custom Lighthouse Gatherer that captures high-resolution screenshots of web pages, using the Puppeteer API. Despite the complexity of the task, the process was surprisingly easy and efficient.
A quick dive in to how to use Lighthouse,HTTPArchive and Chrome UX report to try and understand how users in a country might experience the web.
A quick dive in to how to use Lighthouse to try and understand how users in a country might experience the web.