Talking about something abstract is easy and fun — you can sound smart, and no one can really verify your claims because, well, it’s abstract. In a world where every other person is now an “AI visionary,” I want to speak about AI in a максимально concrete way, using my own work at GitLab as the example. It’s a perfect case. While many people describe a world of pink ponies — greenfield projects built from scratch — I want to share the hardcore brownfield reality: what actually happens when you introduce AI into a project that has existed for years. Here’s what we’ll cover: - How AI and JavaScript get along (or, more accurately, don’t) - My setup and “secret sauce” for agentic development - What I’ve achieved together with Opus (my favorite model) - How much JavaScript code I still write by hand - What prevents us from reaching the mythical 10x productivity — and what I’m doing about it My goal is simple: after this case study, everyone should walk away with a clear understanding of what they can implement in their own project to make life better — starting now.

In the age of AI, anyone can generate code — even your team lead or the baker next door. But who ensures its quality? This talk will show why TDD is more relevant than ever, how to tell a good test from a bad one, make AI write proper code from the start, and why discipline and architectural thinking save both your nerves and your projects.

This talk will show how to boost developer productivity with AI tools in Cursor — from automated code reading and writing to building custom AI teammates and end-to-end feature pipelines.

How can you thrive in an industry transformed by AI? This talk covers research and hands-on demos to help secure your career and leverage AI for productivity and growth.

JavaScript and Golang are two different worlds that often intersect in modern projects: the first dominates frontend development and rapid prototyping, while the second excels in high-load services and microservice architectures. In this talk, I will share my personal experience of moving from JS to Go, comparing approaches to asynchronous programming, application architecture, working with databases, and tooling. We’ll explore not only the differences but also the similarities that help developers adapt more easily between these ecosystems.

In many projects, hooks have become a reflex: they’re added automatically, even where they aren’t needed. But every unnecessary hook adds extra complexity—often without any benefit. In this talk, we’ll explore when hooks are unnecessary and how to write simpler, more readable code without redundant use*.

In this talk, Dmytro will share how he created a DSL (domain-specific language) for parsing HTML pages, designed specifically for web scraping. We’ll dive into tree algorithms, JavaScript code optimization, the DOM, and try it all out with some live coding.

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.