Tejas Kumar

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 this PodRocket episode 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.

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.