🧱 I built a customizable Ratings & Reviews dashboard for React

In an exciting endeavor, a developer shares their journey of creating a front-end framework designed to be learned in just five minutes. This initiative aims to simplify the learning curve for developers familiar with popular frameworks like React, Vue, and Angular. By focusing on ease of use and quick comprehension, this framework could potentially empower more developers to build efficient applications without the steep learning curve typically associated with front-end technologies.

In a recent discussion about web development, a developer shared their experience with managing modal states in React using Zustand and sessionStorage. They aimed to ensure that the modal state persists even after a page reload. However, they encountered an issue where the modal would automatically close upon refreshing the page due to React's remounting behavior. This insight is valuable for developers looking to enhance user experience by maintaining modal states across page navigations and reloads.

Excalidraw is an impressive browser-based app that simplifies the process of creating and sharing hand-drawn-like diagrams. Its user-friendly design and collaborative features make it an excellent choice for teams working on projects, especially in technical fields. Built with React and TypeScript, it offers a minimalistic approach that enhances productivity. Many users, including myself, appreciate its simplicity and effectiveness, making it a valuable tool for anyone looking to visualize their ideas.

If you're looking to boost your sales, Shopify has some fantastic ecommerce tips that can help you thrive in the competitive online marketplace. These strategies not only enhance your store's visibility but also improve customer engagement, making it easier for you to convert visitors into loyal buyers. With the rise of online shopping, understanding how to effectively utilize platforms like Shopify is crucial for any business aiming to succeed.

This article discusses the process of creating a React and Next.js project using Docker for both development and production environments. It highlights the benefits of using Docker, such as consistency and ease of deployment, making it a valuable resource for developers looking to streamline their workflow.

Starting my internship at Thinkvyne Digital as a Software Developer was an eye-opening experience. I dove into building an Academic Management System using cutting-edge technologies like React and PHP Laravel. From the very first day, I took charge of the UI for both the user app and admin panel, which was both challenging and rewarding. This opportunity not only enhanced my technical skills but also gave me a taste of the startup culture, where innovation and collaboration thrive.

In a recent article, the author shares insights from their frontend interview experiences, highlighting a shift towards deeper technical questions that go beyond basic coding. They emphasize the importance of understanding core concepts like the event loop and React Fiber, which are crucial for building efficient applications. This approach not only prepares candidates for interviews but also enhances their overall knowledge and skills in frontend development, making it a valuable read for aspiring developers.

In 2025, Next.js has solidified its position as the leading framework for React applications, surpassing Create React App. This framework, developed by Vercel, offers a range of features like server-side rendering and static site generation, making it easier for developers to create high-performance web applications. Its automatic optimizations and file-based routing streamline the development process, allowing teams to focus on building great user experiences. As the industry standard, adopting Next.js is essential for developers looking to stay competitive.

This article discusses the modern need for efficient background processes in application development and introduces a simple solution using .NET's System.Threading.Channels. It highlights how this approach can streamline communication with APIs, making it easier for developers to implement background services without the complexity of traditional methods. This matters because it can significantly enhance application performance and developer productivity.

This article dives into the efficient processing of large datasets using Laravel by introducing a clean architecture for batch jobs. It emphasizes the importance of breaking down tasks into manageable chunks, which not only enhances performance but also ensures safety and extensibility in job handling. This approach is crucial for developers looking to optimize their applications and manage resources effectively.

MongoDB's latest enhancements to its aggregation framework, particularly with the $group and $sum operations, are making waves in the tech community. By leveraging indexes, users can now achieve significantly faster performance, especially with the DISTINCT_SCAN optimization. This is crucial for developers and businesses that rely on efficient data processing, as it not only speeds up queries but also improves overall application performance. As MongoDB continues to innovate, these advancements highlight its commitment to providing powerful tools for data management.

Tonight's Game 7 of the 2025 MLB World Series between the Dodgers and Blue Jays is set to be an exciting showdown, and fans can catch all the action without cable. This matchup is significant as it showcases two of the league's top teams battling for the championship title, making it a must-watch event for baseball enthusiasts.

The article introduces Monetzly, a new solution for monetizing AI applications through dual revenue streams. It highlights the potential for developers to earn money not only from subscriptions but also by integrating relevant ads into their apps. This innovative approach allows creators to focus on enhancing their applications while still benefiting financially, making it a significant development in the AI app market.

Researchers have found that large language models, often celebrated for their problem-solving abilities, tend to operate under the assumption that conditions remain constant while they process information. This discovery is significant because it highlights a limitation in AI's adaptability to real-world scenarios where interruptions or new data can occur unexpectedly. Understanding this behavior could lead to improvements in AI systems, making them more responsive and effective in dynamic environments.