Leveraging Data Flow Programming for Scalable and Efficient AI Systems in Distributed Environments

In this workshop, we discuss the merits of serverless architecture and how it can be applied to the AI space. We'll explore options around building serverless RAG applications for a more lambda-esque approach to AI. Next, we'll get hands on and build a sample CRUD app that allows you to store information and query it using an LLM with Workers AI, Vectorize, D1, and Cloudflare Workers.

Building instant-on web applications at scale have been elusive. Real-world sites need tracking, analytics, and complex user interfaces and interactions. We always start with the best intentions but end up with a less-than-ideal site.
QwikCity is a new meta-framework that allows you to build large-scale applications with constant startup-up performance. We will look at how to build a QwikCity application and what makes it unique. The workshop will show you how to set up a QwikCitp project. How routing works with layout. The demo application will fetch data and present it to the user in an editable form. And finally, how one can use authentication. All of the basic parts for any large-scale applications.
Along the way, we will also look at what makes Qwik unique, and how resumability enables constant startup performance no matter the application complexity.

The modern web would be different without rich client-side applications supported by powerful frameworks: React, Angular, Vue, Lit, and many others. These frameworks rely on client-side JavaScript, which is their core. However, there are other approaches to rendering. One of them (quite old, by the way) is server-side rendering entirely without JavaScript. Let's find out if this is a good idea and how Remix can help us with it?
Prerequisites- Good understanding of JavaScript or TypeScript- It would help to have experience with React, Redux, Node.js and writing FrontEnd and BackEnd applications- Preinstall Node.js, npm- We prefer to use VSCode, but also cloud IDEs such as codesandbox (other IDEs are also ok)

Next.js is a compelling framework that makes many tasks effortless by providing many out-of-the-box solutions. But as soon as our app needs to scale, it is essential to maintain high performance without compromising maintenance and server costs. In this workshop, we will see how to analyze Next.js performances, resources usage, how to scale it, and how to make the right decisions while writing the application architecture.

Join our dynamic workshop to craft an AI-powered documentation portal. Learn to integrate OpenAI's ChatGPT with Next.js 14, Tailwind CSS, and cutting-edge tech to deliver instant code solutions and summaries. This hands-on session will equip you with the knowledge to revolutionize how users interact with documentation, turning tedious searches into efficient, intelligent discovery.
Key Takeaways:
- Practical experience in creating an AI-driven documentation site.- Understanding the integration of AI into user experiences.- Hands-on skills with the latest web development technologies.- Strategies for deploying and maintaining intelligent documentation resources.
Table of contents:- Introduction to AI in Documentation- Setting Up the Environment- Building the Documentation Structure- Integrating ChatGPT for Interactive Docs

Fastify is an HTTP framework for Node.js that focuses on providing a good developer experience without compromising on performance metrics. What makes Fastify special are not its technical details, but its community which is wide open for contributions of any kind. Part of the secret sauce is Fastify plugin architecture that enabled developers to write more than a hundred plugins.This hands-on workshop is structured around a series of exercises that covers from basics "hello world", to how to structure a project, perform database access and authentication.

https://github.com/nearform/the-fastify-workshop