Breaking the Code Behind Realtime Collaboration With Websockets

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.

During this workshop, participants will review the essential JavaScript patterns that every developer should know. Through hands-on exercises, real-world examples, and interactive discussions, attendees will deepen their understanding of best practices for organizing code, solving common challenges, and designing scalable architectures. By the end of the workshop, participants will gain newfound confidence in their ability to write high-quality JavaScript code that stands the test of time.
Points Covered:
1. Introduction to JavaScript Patterns2. Foundational Patterns3. Object Creation Patterns4. Behavioral Patterns5. Architectural Patterns6. Hands-On Exercises and Case Studies
How It Will Help Developers:
- Gain a deep understanding of JavaScript patterns and their applications in real-world scenarios- Learn best practices for organizing code, solving common challenges, and designing scalable architectures- Enhance problem-solving skills and code readability- Improve collaboration and communication within development teams- Accelerate career growth and opportunities for advancement in the software industry

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.

With the rise of frameworks, such as React, Vue or Angular, the way websites are built changed over the years. Modern applications can be very dynamic and perform multiple API requests to populate a website with fresh content or submit new data to a server. However, this paradigm shift introduced new problems developers need to deal with. When an API request is pending, succeeds, or fails, a user should be presented with meaningful feedback. Other problems can comprise API data caching or syncing the client state with the server. All of these problems require solutions that need to be coded, but these can quickly get out of hand and result in a codebase that is hard to extend and maintain. In this workshop, we will cover how to handle API requests, API states and request cancellation by implementing an API Layer and combining it with React-Query.
Prerequisites: To make the most out of this workshop, you should be familiar with React and Hooks, such as useState, useEffect, etc. If you would like to code along, make sure you have Git, a code editor, Node, and npm installed on your machine.

In this workshop, we'll take a tour through the most effective approaches to building out scalable UI components that enhance developer productivity and happiness :-) This will involve a mix of hands-on exercises and presentations, covering the more advanced aspects of the popular styled-components library, including theming and implementing styled-system utilities via style props for rapid UI development, and culminating in how you can build up your own scalable custom component library.
We will focus on both the ideal scenario---where you work on a greenfield project---along with tactics to incrementally adopt a design system and modern approaches to styling in an existing legacy codebase with some tech debt (often the case!). By the end of the workshop, you should feel that you have an understanding of the tradeoffs between different approaches and feel confident to start implementing the options available to move towards using a design system based component library in the codebase you work on.
Prerequisites: - Familiarity with and experience working on large react codebases- A good understanding of common approaches to styling in React