inlang - Using Version Control to Solve i18n

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

So, you have a killer web app you've built and want to take it from your web browser to the App Store. Sure, there are a lot of options here, but most will require you to maintain separate apps for each platform. You want your codebase to be as close as possible across Web, Android, and iOS. Thankfully, with Capacitor, you can take your existing web app and quickly create native iOS and Android apps for distribution on your favorite App Store!
Contents: This workshop is aimed at beginner developers that have an existing web application, or are interested in mobile development. We will go over:- What is Capacitor- How does it compare to other cross-platform solutions- Using Capacitor to build a native application using your existing web code- Tidying up our application for distribution on mobile app stores with naming conventions, icons, splash screens and more

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.

So, you have a killer React app you've built and want to take it from your web browser to the App Store. Sure, there are a lot of options here, but most will require you to maintain separate apps for each platform. You want your codebase to be as close as possible across Web, Android, and iOS. Thankfully, with Capacitor, you can take your existing web app and quickly create native iOS and Android apps for distribution on your favorite App Store!
This workshop is aimed at intermediate developers that have an existing React application, or are interested in mobile development with React. We will go over:
What is CapacitorHow does it compare to other cross-platform solutionsUsing Capacitor to build a native application using your existing web codeTidying up our application for distribution on mobile app stores with naming conventions, icons, splashscreens and more.

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.