I'll share our experience building RorkAI, an AI builder for fullstack React apps without code. It's like Replit meets Webflow/Framer. We're very early stage, but built a fully working prototype in 4 weeks, and we're proud to share our experience.
Questions we'll touch:

• Our experience building Cursor-like Composer for next with Claude and O1
• What turned out to be the best fullstack framework like Next, Remix or Tanstack Start
• How to create UI like Vercel's v0
• Share our experience of using Webcontainers, Nodebox and Sandpack
• how to avoid RAG errors & improve AI reliability
• how to make AI create authentication, database migrations, use Stripe, and external APIs (OpenAI, Replicate, etc.)
• what innovations in the JS world (not including) made RorkAI actually possible Our vision is that RorkAI will help non-technical founders build lots of new SaaS businesses with AI. We don't think AI will ever replace engineers for interesting tasks, we think it will replace outsource agencies. We help founders test business ideas faster and switch to in-house teams as they grow.

Web AI libraries and models crossed over 1 billion downloads in the last 2 years alone. If you're not yet using machine learning on the client side, now is the time to see what's possible and the benefits it can bring your business over cloud based solutions - such as lower costs, privacy for your end users, and low latency responses suitable for real-time applications.

Learn what's new with the state of Web AI at Google and discover new generative AI models you can run client-side in the browser entirely offline along with key updates from Chrome, TensorFlow.js, MediaPipe, Core ML, Visual Blocks, and beyond.

A must see talk for anyone working in the web space (or is using JavaScript) so you can bring your AI powered ideas to life faster than ever before.

Don’t let Python developers have all of the fun with LLMs.

This talk is a gentle introduction to Generative AI and Large Language Models for front-end developers looking to build intelligent chatbots and applications. We’ll dive into Langchain.js, an open-source orchestration framework for building AI Applications.

We will start by exploring the basics of Generative AI (GenAI) and Large Language Models (LLMs), how they work, and cover some common pitfalls and how they can be avoided. We’ll take a closer look at vectors, retrievers, and how to build an agent capable of choosing tools to perform specific tasks.

About Adam: Adam Cowley is a dedicated developer with a keen interest in data and graph databases. Serving as the Senior Developer Advocate at Neo4j, Adam produces educational content for GraphAcademy, Neo4j’s free, self-paced, online learning platform. His technical experience spans two decades, developing websites, mobile apps and mixed reality experiences for budding startups to the world’s biggest companies

Coding is difficult. But streamlined app creators are too limiting.

AI helps to bring these two extremes together in a way that removes barriers to entry while providing a lot of flexibility. Let’s explore how we can utilize AI app composers to increase efficiency, whether you are a developer or not—and what the most effective places to use them are.