Infrastructure as Code with a Node Focus

Node Congress

Node Congress 2021

Tejas Kumar

Serverless for React Developers

React Summit

React Summit 2022

Handling Data at Scale for React Developers

Understanding React’s Fiber Architecture

React Advanced

React Advanced 2022

Building a Voice-Enabled AI Assistant With Javascript

JS Nation

JSNation 2023

Why Everybody Needs a Framework

React Advanced 2023

React Server Components

React Day Berlin

React Day Berlin 2023

Panel discussion  "Innovation in React"

React Server Components in AI Applications

React Advanced 2024

React Day Berlin 2024

Maximize Productivity with AI Agents

React Summit 2025

AI Coding Summit

Productivity Conf for Devs and Tech Leaders

React Day Berlin 2026

We've entered the era of "just add AI." Slap a prompt box on it, ship it, call it intelligent. But the products people love don't feel like AI demos. They feel obvious, fast, and considered. They have taste. Taste isn't subjective fluff. It's the difference between a streaming response that renders progressively and one that dumps text in a single repaint. It's choosing to compose rich, interactive UI instead of defaulting to a chat window. In this code-heavy session, we'll explore what taste actually means when building with AI: performance patterns, rendering decisions, and the product instincts that separate forgettable AI wrappers from tools people reach for every day.

Taste: How React Leads to AI

<a href="https://en.wikipedia.org/wiki/Unconference">Unconference</a> is a format when participants pitch (=write on white board) ideas for short talks/discussions at the beginning of it, and then everyone gets an opportunity to get 5-7 minutes on "stage" and have a talk on the topic pitched earlier.Join Tejas Kumar, Adrian Hajdin, Naman Goel and others to discuss all things AI. Don't miss out on this opportunity to engage and learn together!

AI Unconference

Frontend Frameworks

Growing in Your Career

In this talk, we will explore how to offload work to large language models and automate away most "busy work" in order to maximize and enhance productivity on a daily basis. We will do so mainly by exploring how LLMs can callfunctions.

In this talk, we will explore how we can use AI to enhance user experience by having large language models return interactive React Components that we define to our users. This way, instead of instructing users on what to do with text, our applications can present interactive user interface elements directly in response to a user query. We discuss this briefly in <a href="https://podrocket.logrocket.com/generative-ui-react-components-malte-ubl" target="_blank">this PodRocket episode</a> where the Vercel CTO says it could be game changing. In this talk, we teach developers how to implement such functionality in their applications.

React Server Components are a newer way of working with React that is widely adopted in frameworks like Next.js. In this talk, we will look under the surface of how they work and are executed on the server side, and how they fit with server rendering and traditional React apps.

The prevalent advice on how to use React today is to use a framework: either to start with one or to incrementally adopt one. This deep-dive talk will explore why, and how to go about this with live code examples.

In this talk, we'll build our own Jarvis using Web APIs and langchain. There will be live coding.

We've heard a lot about React's Fiber Architecture, but it feels like few of us understand it in depth (or have the time to). In this talk, Tejas will go over his best attempt at understanding Fiber (reviewed by other experts), and present it in an 'explain-like-I'm-five years old' way.

Intro to serverlessPrior Art: Docker, Containers, and KubernetesActivity: Build a Dockerized application and deploy it to a cloud providerAnalysis: What is good/bad about this approach?Why Serverless is Needed/BetterActivity: Build the same application with serverlessAnalysis: What is good/bad about this approach?

It is very difficult to scale modern web applications to millions of concurrent users. Oftentimes, we've got to provision and consider in-memory Key/Value stores, search engines, analytics engines, and databases, all while preserving traceability through the layers. This talk expands on the technical details of web apps at this scale, and offers a simpler way to achieve the same effect without the technical hassle.

This talk explores the power of tech infrastructure as code, allowing organizations to quickly, reliably and reproducibly build up, scale, and tear down real-world infrastructure as needed — with a focus on NodeJS stacks. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>