During the discussion, we’ll explore the capabilities of JavaScript, best practices, and current trends together with experienced experts.

I'll tell you about some of the problems faced by modern creative developers

With AI becoming increasingly present in our everyday lives, the latest advancements in the field now make it easier than ever to integrate it into our software projects. In this session, we’ll explore how machine learning models can be embedded directly into front-end applications. We'll walk through practical examples, including running basic models such as linear regression and random forest classifiers, all within the browser environment. Once we grasp the fundamentals of running ML models on the client side, we’ll dive into real-world use cases for web applications—ranging from real-time data classification and interpolation to object tracking in the browser. We'll also introduce a novel approach: dynamically optimizing web applications by predicting user behavior in real time using a machine learning model. This opens the door to smarter, more adaptive user experiences and can significantly improve both performance and engagement. In addition to the technical insights, we’ll also touch on best practices, potential challenges, and the tools that make browser-based machine learning development more accessible. Whether you're a developer looking to experiment with ML or someone aiming to bring more intelligence into your web apps, this session will offer practical takeaways and inspiration for your next project.

A talk about our journey improving Web Vitals at prom.ua. Stories of screw-ups, quiet wins, and the kind of metrics that just refuse to behave — no matter how hard you try.

The year is 2025. Ignoring the AI elephant in the JavaScript room is getting harder by the day. This beast, vibing along with our code, stomps all over the things we developers hold dear: clean code, architecture, our habits, and the beliefs about what's "right" and what's not. This knowledge cost me a few tens of thousands of dollars while working on a project that used AI to the max. And all I have left to show for it — is this talk. Of course, we won't be able to cover everything. But I desperately need a therapy session about the most painful part — how, through working with AI, I lost my sense of what architecture means to me... and what to do about it.

This talk explores how using pixels for everything silently disables built-in font scaling, undermines flexibility, and betrays user expectations. Join a technical talk with live demos, where rem isn't just a unit — it becomes a tool of respect for your users.

Learn how finite-state machines and reactive programming help us avoid callback hell at Grammarly.

Why are modern frameworks once again trying to reinvent reactivity — and what do signals have to do with it? In this talk, we’ll take a look at signals as an attempt to give JavaScript developers fine-grained reactivity tools without extra code, proxies, or memoization. The problem they aim to solve is as old as frontend itself: how to update only what needs updating — and do it predictably. We’ll explore how this approach works, which frameworks have already adopted it, and what the current TC39 proposal means. Most importantly — do signals actually solve the problem, or are they just introducing a new layer of complexity with different syntax?

This talk is a lighthearted yet painfully familiar existential crisis of a frontend developer. We’ll start with simple DOM manipulation, walk through jQuery, SPA, React, and end with some thoughts on server-side rendering — with the help of a certain Twitter thread that turned out to be wiser than most textbooks.

This talk begins with a brief overview of frontend history, mentioning the era of AngularJS dominance and the reasons for its subsequent decline in popularity (particularly its complexity and the rise of React)