Fine-Grained Reactivity without any compiler

Ivan’s first attempts at performance debugging were chaotic. He would see a slow interaction, try a random optimization, see that it didn't help, and keep trying other optimizations until he found the right one (or gave up).
Back then, Ivan didn’t know how to use performance devtools well. He would do a recording in Chrome DevTools or React Profiler, poke around it, try clicking random things, and then close it in frustration a few minutes later. Now, Ivan knows exactly where and what to look for. And in this workshop, Ivan will teach you that too.
Here’s how this is going to work. We’ll take a slow app → debug it (using tools like Chrome DevTools, React Profiler, and why-did-you-render) → pinpoint the bottleneck → and then repeat, several times more. We won’t talk about the solutions (in 90% of the cases, it’s just the ol’ regular useMemo() or memo()). But we’ll talk about everything that comes before – and learn how to analyze any React performance problem, step by step.
(Note: This workshop is best suited for engineers who are already familiar with how useMemo() and memo() work – but want to get better at using the performance tools around React. Also, we’ll be covering interaction performance, not load speed, so you won’t hear a word about Lighthouse 🤐)

The distinction between server state and client state in our applications might be a new concept for some, but it is very important to understand when delivering a top-notch user experience. Server state comes with unique problems that often sneak into our applications surprise like:
- Sharing Data across apps- Caching & Persistence- Deduping Requests- Background Updates- Managing “Stale” Data- Pagination & Incremental fetching- Memory & Garbage Collection- Optimistic Updates
Traditional “Global State” managers pretend these challenges don’t exist and this ultimately results in developers building their own on-the-fly attempts to mitigate them.
In this workshop, we will build an application that exposes these issues, allows us to understand them better, and finally turn them from challenges into features using a library designed for managing server-state called React Query.
By the end of the workshop, you will have a better understanding of server state, client state, syncing asynchronous data (mouthful, I know), and React Query.

We're going to be using Nx and some its plugins to accelerate the development of this app.
Some of the things you'll learn:- Generating a pristine Nx workspace- Generating frontend React apps and backend APIs inside your workspace, with pre-configured proxies- Creating shared libs for re-using code- Generating new routed components with all the routes pre-configured by Nx and ready to go- How to organize code in a monorepo- Easily move libs around your folder structure- Creating Storybook stories and e2e Cypress tests for your components
Table of contents: - Lab 1 - Generate an empty workspace- Lab 2 - Generate a React app- Lab 3 - Executors- Lab 3.1 - Migrations- Lab 4 - Generate a component lib- Lab 5 - Generate a utility lib- Lab 6 - Generate a route lib- Lab 7 - Add an Express API- Lab 8 - Displaying a full game in the routed game-detail component- Lab 9 - Generate a type lib that the API and frontend can share- Lab 10 - Generate Storybook stories for the shared ui component- Lab 11 - E2E test the shared component

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.

- Introduction- Prerequisites for the workshop- Fetching strategies: fundamentals- Fetching strategies – hands-on: fetch API, cache (static VS dynamic), revalidate, suspense (parallel data fetching)- Test your build and serve it on Vercel- Future: Server components VS Client components- Workshop easter egg (unrelated to the topic, calling out accessibility)- Wrapping up

Ivan’s first attempts at performance debugging were chaotic. He would see a slow interaction, try a random optimization, see that it didn't help, and keep trying other optimizations until he found the right one (or gave up).
Back then, Ivan didn’t know how to use performance devtools well. He would do a recording in Chrome DevTools or React Profiler, poke around it, try clicking random things, and then close it in frustration a few minutes later. Now, Ivan knows exactly where and what to look for. And in this workshop, Ivan will teach you that too.
Here’s how this is going to work. We’ll take a slow app → debug it (using tools like Chrome DevTools, React Profiler, and why-did-you-render) → pinpoint the bottleneck → and then repeat, several times more. We won’t talk about the solutions (in 90% of the cases, it’s just the ol’ regular useMemo() or memo()). But we’ll talk about everything that comes before – and learn how to analyze any React performance problem, step by step.
(Note: This workshop is best suited for engineers who are already familiar with how useMemo() and memo() work – but want to get better at using the performance tools around React. Also, we’ll be covering interaction performance, not load speed, so you won’t hear a word about Lighthouse 🤐)