The Dilemmas I Faced When Building a Component Library

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)

How many times did you say or hear “this is business logic, it should not be here”?In this workshop, we will create a modern frontend application using old patterns and you will learn how to build apps that have decoupled UI and services.We will start with a React application that has its whole logic in the UI. Then step by step we will extract the rules and operations to hit that sweet spot of independence.

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

This session will focus on Starbeam's universal building blocks. We'll use Starbeam to build a data library that works in multiple frameworks.We'll write a library that caches and updates data, and supports relationships, sorting and filtering.Rather than fetching data directly, it will work with asynchronously fetched data, including data fetched after initial render. Data fetched and updated through web sockets will also work well.All of these features will be reactive, of course.Imagine you filter your data by its title, and then you update the title of a record to match the filter: any output relying on the filtered data will update to reflect the updated filter.In 90 minutes, you'll build an awesome reactive data library and learn a powerful new tool for building reactive systems. The best part: the library works in any framework, even though you don't think about (or depend on) any framework when you built it.
Table of contents- Storing a Fetched Record in a Cell- Storing multiple records in a reactive Map- Reactive iteration is normal iteration- Reactive filtering is normal filtering- Fetching more records and updating the Map- Reactive sorting is normal sorting (is this getting a bit repetitive?)- Modelling cache invalidation as data- Bonus: reactive relationships