AI progress is running away on the server-side, where the GPUs live, but the web platform is never that far behind. In this talk we're going to explore the incredible applications you can build in the browser today and in the near future.

You'll see how to build an offline-capable, speech to speech language translation app, a babelfish, using nothing but the web platform. Through this app we'll explore the different ways we can run AI models in the browser today and what may be built into the browser in the future. From low-level standards to high-level experiments, you'll learn how to work with AI on the web.

Bio: 

Phil is a developer relations engineer for Langflow at IBM and Google Developer Expert living in Melbourne, Australia. He loves working with JavaScript, TypeScript or Ruby to build web applications and tools to help developers. He once helped build a website that captured the world's favourite sandwich fillings. He has too many GitHub repositories.

Away from the keyboard, Phil listens to ska punk, hangs out with his miniature dachshund (also called Ruby), and is on a mission to discover the world's best beers.

Phil tweets at @philnash and you can find him elsewhere online at https://philna.sh.

Next.js is a great framework - until you want to deploy it somewhere that isn't Vercel. vinext is a Vite plugin from Cloudflare that reimplements the Next.js API surface from scratch, so your existing app runs everywhere with a single command. In this talk, we'll look at why this exists, how Cloudflare built it in a week using AI, and how close to "drop-in replacement" it actually gets.

Next.js is a great framework - until you want to deploy it somewhere that isn't Vercel. vinext is a Vite plugin from Cloudflare that reimplements the Next.js API surface from scratch, so your existing app runs everywhere with a single command. In this talk, we'll look at why this exists, how Cloudflare built it in a week using AI, and how close to "drop-in replacement" it actually gets.

You build applications using Generative AI and LLM frameworks for your JavaScript apps. Hurray! I sure hope you didn’t forget this tiny little thing called application security :-)​Join me in this session, where we uncover imminent security vulnerabilities from basics to hands-on live hacking and demonstrate real-world insecure JavaScript code mistakes as we hack in the IDE and unleash exploit payloads that compromise AI-generated code. You’ll learn and experience prompt injection, LLM agents with excessive access, code vulnerabilities introduced via IDE auto-suggest tools, and how LLM sources turn into an imminent security risk.