The debate between static and dynamically typed languages has long been a subject of contention among developers. Each approach offers its own set of advantages and disadvantages, significantly influencing the software development process. Dynamically typed languages like Ruby provide flexibility by allowing variables to be declared without corresponding types. This approach fosters rapid development and promotes an agile process.

Single-table design is a powerful approach to modeling data in DynamoDB because it allows you to store all your data in one place. This approach can simplify your data model and reduce the number of tables you need to manage. In the traditional approach, you create a separate table for each entity in your application. For example, you might have a table for characters and a table for quests. Each table would have its own primary key and attributes.

When it comes to making HTTP requests in Node.js, developers are spoiled for choice: from the built-in and browser-familiar Fetch API to third-party libraries like Axios, Got, Superagent, Ky, and others. Navigating this diverse landscape can be a little daunting. This comprehensive guide aims to simplify your decision-making process by comparing the features and nuances of popular options, so you can select the ideal solution for your next project.

Rails partials have been around for years, but they can be clunky since they're just ERB snippets without a backing object structure. Recently, libraries like ViewComponent and Phlex have tried to improve the view layer by adding more semantic structure to the templates. These are great libraries and I personally reach for ViewComponent on almost every project I work on. That said, I still feel the humble Rails partial still works great for many use cases.

In the first part of this series, we created a Django online shop with htmx. In this second part, we'll handle orders using Stripe.

When you build an app, you'll often find that certain tasks do not require user interaction and are better performed in the background. Elixir provides excellent primitives, such as Task.async, to offload these tasks from the main user pipeline. Additionally, libraries like Oban offer more control over background tasks when needed. There's also FLAME, which the core Phoenix team is developing to offer a scalable solution for offloading intensive tasks to remote machines.