Overview

The CRA Fakebooks App serves as a straightforward mock application designed to highlight the differences between CRA (Create React App) and Remix in terms of user experience (UX) and developer experience (DX). By deploying both versions, the app aims to showcase the implications of data loading on performance and overall complexity, especially when no database is present and simulated latency is introduced. The backend, powered by the Remix version of the app, provides a crucial perspective on how to handle server-side interactions even without a traditional database setup.

Designed primarily for developers and users trying to grasp the fundamental differences in client-rendered applications, this app allows for a hands-on exploration of various functionalities including page loading times and user interactions. It’s an insightful tool for those keen on understanding how frameworks can alter the development landscape.

Features

• Latency Simulation: Introduces a 40-100 ms delay when accessing invoice data to mimic real-world database queries, offering a realistic testing environment.

• Dual Deployment: Available on both Netlify’s global CDN and Fly’s Dallas region, showcasing versatility in deployment options and geographic distribution.

• Code Comparison: Allows developers to dig into the codebase and assess the complexity differences between the CRA and Remix implementations, enhancing understanding of each framework.

• UX Focus: Prioritizes user experience by demonstrating how different data loading strategies affect page performance and interactivity.

• Initial Page Load Testing: Users can evaluate the efficiency of the initial page load across both app versions, giving insight into the responsiveness of the different frameworks.

• Developer Experience Insight: Highlights the development challenges and ease of implementation between serving static data with a CRA setup versus a more dynamic Remix solution.

• Future Scalability: While currently focused on rendering without mutations, the discussion around adding features indicates the potential for future enhancements in functionality and complexity.