WebStorm IDE is researching developer experience flow state. We found that developers feel it is not productive alt-tabbing between IDE/ AI Agents, Figma and browsers trying to spot if everything matches. It’s a manual process that doesn’t scale when we are getting faster with AI. It's too late if these visual bugs hit a PR review, you've already lost the context needed to fix them without taxing your head space.

Is it possible or even desired to pull this validation directly into the development loop?
We'd like to show you our prototype on how we would like to combine the Figma Plugin APIs, WebStorm and Vitest Browser Mode to automate these checks while you code.

In this talk, we’ll explore the performance limits of SVG when rendering scatter charts with thousands of data points, based on our experience at MUI X Charts. You’ll learn how to identify bottlenecks, performance measuring tricks, and the techniques we use to optimize rendering.

In this talk, we'll dive into Client-Side Semantic Caching. I'll show you how to intercept user prompts in the browser, run a tiny open-source AI model locally to understand the "meaning" of the text, and serve previously cached answers instantly. We will look at real code using Transformers.js and IndexedDB to drop your AI latency to 0ms, save API tokens, and build a greener web

Recently, Superhuman (formerly Grammarly) launched Superhuman Go, an AI assistant that works alongside you on every platform. To build it, we needed a scalable solution that supports an unlimited number of agents that dynamically shapes the user interface and looks similar across all supported desktop and mobile platforms. Join me to find out how we discovered solutions for this innovative new product.