May 2024 Summaries

In this tutorial, we covered how to integrate Strapi CMS with Angular for creating a dynamic news application. We started by setting up the Strapi backend and then moved on to create an Angular frontend that fetches data from the API endpoints provided by Strapi. We used Angular's HttpClient module to make HTTP requests to the Strapi server, and we also utilized BehaviorSubject for state management in our application. We created a NewsListComponent to display a list of news articles, a NewsDetailsComponent to show details about a specific article, and a CreateNewsAppComponent to create new articles. We also implemented routing using Angular's RouterModule and defined routes for the main page (which displays the news list) and individual article pages. Finally, we ran our application on an Angular server and tested it in the browser. By integrating Strapi CMS with Angular, we were able to create a robust and efficient news application that can be easily extended and customized according to specific requirements.

In this article, we compared Puppeteer and Playwright for web scraping Strapi-powered applications. Both libraries are powerful browser automation tools that enable developers to control a web browser with only a few lines of code. While both libraries have similar web scraping capabilities, there are some differences between them. Puppeteer is a well-liked option for automating processes like as end-to-end testing and web scraping. It supports Chrome/Chromium browsers and has an unofficial Python port named Pyppeteer. Puppeteer's headless browser control allows developers to automate a Chrome or Chromium browser without a graphical user interface, making it ideal for server-side environments. Playwright was created to make browser automation and online testing more efficient. It supports multiple languages and browsers, with client implementations that are both async and sync. Playwright's auto-waiting feature is one important distinction from Puppeteer. By simulating human behavior and automating waiting periods following tasks like form completion, this functionality may lower the possibility of a bot being discovered. In terms of Strapi scraping, both libraries are great for browser automation and testing. However, Playwright offers more flexibility for complex workflows due to its multi-language support and potential browser emulation for responsive UI testing. Overall, Puppeteer is a strong option for many Strapi CMS projects due to its ease of use, extensive documentation, and focus on Chrome/Chromium. However, Playwright's multi-language support, auto-waiting functionality, and cross-browser capabilities offer a more versatile and potentially future-proof solution, especially for complex workflows or scraping across multiple browsers.

In this tutorial, you will learn how to build a media gallery application using Flutter and Strapi's Media Library plugin. The code for this tutorial is available on GitHub. You will need Node.js installed on your system to create the Strapi backend project. After creating the Strapi backend project, enable the Media Libray Plugin by installing it and configuring the upload plugin in the `config/plugin.js` file. Then, you can add new assets to your Media Library from the admin panel. Next, create a new Flutter application and update the `pubspec.yaml` file to include the necessary dependencies for making API requests to your Strapi backend, selecting images from your device file system, and parsing HTTP responses. Create a service class in the Flutter project to fetch all the assets you added to your Media Library using a GET request to the Strapi server's `/upload/files` endpoint. Create a new directory called screens in the lib/features directory to create our Flutter UI, and then create a home_screen.dart file inside the screens folder to display the retrieved media files. Update your main.dart file to render the HomePage widget in your Flutter UI. Finally, update the code in your lib/features/services/strapi_service.dart file to add a new method to send a POST request to the `/upload` endpoint to upload new files to the Media Library. Then, in your lib/features/screens/home_screen.dart file, add a new method to handle file uploads using the FilePicker package and update the UI accordingly.

In this tutorial, we'll be building an invoicing app using Next.js for the frontend development, Strapi as the backend content management system, and jsPDF for PDF generation. We'll create a functional invoicing app where users can create, edit, and delete invoices on the frontend while managing the data on the Strapi backend. First, we'll set up our development environment by installing Next.js, Strapi, and jsPDF libraries. Then, we'll configure the Strapi backend to store the invoice data. After that, we'll connect the Strapi backend to the frontend using axios library. We'll implement CRUD operations in Strapi for creating, reading, updating, and deleting invoices. Finally, we'll integrate PDF generation functionality into our app using jsPDF library. By the end of this tutorial, you should have a functional invoicing app where users can create, edit, and delete invoices on the frontend while managing the data on the Strapi backend. You'll also be able to download the invoice in a PDF format.

This article discusses Server-Side Rendering (SSR) and Client-Server Rendering (CSR), two popular rendering techniques in web development, with examples using Javascript, React.js, and Next.js. It explains the pros and cons of each technique and provides guidance on when to use them based on specific project needs. The article also touches upon hybrid approaches that combine SSR and CSR for optimal performance and user experience.

This guide aims to help developers choose the right authentication tool for their web applications by discussing various tools such as Clerk, Next.js Auth, Maze, Auth0, Supabase, Firebase Auth, SuperTokens, and Passport.js. These tools offer different features like user authentication, authorization, security enhancements, session management, integration with frontend frameworks, scalability, customization, ease of integration, and learning curve. The decision to pick up an authentication tool depends on the developer's needs, preferences, budget, and desired user experience.

Headless e-commerce is an architecture that separates the front end from the back end of an application, allowing for independent updates and edits. This enables businesses to scale their e-commerce sites without disrupting core commerce operations. Some top solutions in headless e-commerce include Shopify Plus, BigCommerce, Commerce.js, Magento (now Adobe Commerce), WooCommerce, and Strapi. Key factors to consider when selecting a headless commerce solution include core functionalities, omnichannel strategy, future growth projections, microservices adoption, API design and documentation, third-party integrations, in-house expertise, development tools and frameworks, licensing costs, and long-term ROI.

This comprehensive guide explores the top five alternatives to Webpack, including Vite, Parcel, Rollup, Esbuild, and Browserify. Each tool is deeply analyzed in terms of their features, performance qualities, optimal applications, configurations, integrations, and migrations. The article also provides a comparative analysis of these tools, highlighting their strengths and weaknesses, to help developers choose the most suitable JavaScript bundler for their next web development project.

In this tutorial, we learn how to build type-safe forms in a TypeScript project using React Hook Form library for form management and Zod for robust validation on the client side. We start by installing necessary dependencies and setting up our project with Create Next App. Then, we define our form schema using Zod's object function and add complex validation checks like minimum and maximum length for fields, checking for special characters in username, validating email format, and ensuring age is greater than 18. We then use the useForm hook from react-hook-form library to integrate Zod's validation with our form inputs. Finally, we handle form submission using React Hook Form's handleSubmit function which ensures that only clean data gets processed further.

In this article, the author demonstrates how to build type-safe forms in a TypeScript project using React Hook Form library for form management and Zod for robust validation on the client side. The author provides step-by-step instructions on setting up the form validation project, creating schema definitions for form fields, handling complex validation scenarios with Zod, and passing the Zod schema to React Hook Form using the useForm hook.

In this tutorial, we will create a simple blog using React and Strapi. We will also integrate an API that uses OpenAI's ChatGPT to provide summaries of articles. The main steps are as follows: 1. Set up the project with Create-React-App and install necessary dependencies. 2. Configure the Strapi server, create a new content type for blog posts, and add some sample data. 3. Design the UI using CSS modules in React. 4. Fetch the articles from the API using React hooks and render them out in our components. 5. Integrate an API that uses OpenAI's ChatGPT to provide summaries of articles. By following these steps, we will have a fully functional blog with article summaries generated by AI.

In this tutorial series, we built a complete CRUD Next.js application with authentication and file upload functionality using Strapi CMS to manage content and users. We deployed the project to Strapi Cloud and Vercel. The final post focused on deploying our frontend to Vercel and setting up environmental variables for secure httpOnly cookies. Additionally, we discussed limitations and considerations when building applications, such as refactoring for streaming or using a queuing system for long-executing tasks.

In this tutorial series, we built a complete CRUD Next.js application with authentication and file upload functionality using Strapi CMS to manage content and users. We deployed the project to Strapi Cloud and Vercel. The final post focused on deploying our Next.js project to Vercel after setting up httpOnly cookies for secure login sessions. We also discussed potential improvements, such as refactoring the application to use streaming or incorporating a queuing system for long-running tasks.

In this tutorial, you will learn how to build an interactive map application using React Leaflet and Strapi. The final product will be able to display location markers, enable searching for locations, allow dragging of markers, display location information including images, and allow the drawing of polygons. To follow along with this tutorial, you'll need to have a basic understanding of React and Node.js. You'll also need to install Strapi and create a new project using it. Once your project is set up, you can start building your interactive map by fetching data from the Strapi API and rendering it on the map using React Leaflet components. Along the way, you'll learn how to handle user interactions such as clicking on markers or dragging them, and how to enable drawing functionalities on the map. By the end of this tutorial, you'll have a fully functional interactive map application that can be further customized to suit your needs.

The article discusses different models of deploying applications to the cloud, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Functions as a Service (FaaS), and Software as a Service (SaaS). Each model has its unique features, responsibilities, and use cases. The article also introduces Strapi Cloud, a PaaS solution that provides an optimized stack for deploying Strapi projects to production while allowing customization and control over the development environment. It emphasizes the importance of understanding these models and choosing the appropriate one based on specific project needs.