VSCode + Dev Containers are a great way to create custom environments without modifying our actual system. They provide a consistent development environment, ensure dependencies are managed correctly, and make it easy to share setups with your team. Here are some configurations you can use to create them. Vapor { "name": "Swift", "image": "swift:latest", "features": { "ghcr.io/devcontainers/features/common-utils:2": { "installZsh": "false", "username": "vscode", "userUid": "1000", "userGid": "1000", "upgradePackages": "false" }, "ghcr.io/devcontainers/features/git:1": { "version": "os-provided", "ppa": "false" } }, "runArgs": [ "--cap-add=SYS_PTRACE", "--security-opt", "seccomp=unconfined" ], "customizations": { "vscode": { "settings": { "lldb.

One of the benefits of using Swift is its excellent performance and low memory footprint. This is a key point when doing backend programming. The future of Swift in Linux looks promising. With Swift 5.9, there will be better error logging, and Apple is developing a new open-source cross-platform testing framework with swift-testing that will replace XCTest and works on Linux too. Let’s hope this encourages more backend systems to be written in Swift.

Let’s continue our exploration of the wonders of local development with containers. This time, we’ll delve into the world of Haskell programming. Instead of burdening your local environment with the entire toolchain, we’ll opt for a more streamlined approach: creating a dev container. This example will illustrate how effortlessly you can integrate new tools and programming languages without causing any disruptions to your local system. What is Haskell Haskell, a pure functional programming language, though not as commonly used in the industry, is a powerful language whose fundamentals can significantly enhance your programming skills.

Hello devs, I’ve recently been exploring the synergy between Docker and VSCode for local development. The concept of consolidating code and dependencies into containers has caught my attention. This approach not only establishes a clean slate for each project but also promotes a stateless system, a goal that aligns seamlessly with my coding environment. To explore these ideas further, let’s create a small project: containerizing an installation of Hugo. This way, we can run our own dev blog anywhere without worrying about configuration and compatibility issues.

The other day, I needed to set up a PostgreSQL database, and after considering various solutions, I decided to use Docker. In this tutorial, I’ll share the solution that worked for my problem. Creating a PostgreSQL Database Using Docker Compose Docker Compose is a powerful tool that allows us to manage multiple containers from a single central point. You might think it’s a bit much for setting up a database, but I found it surprisingly easy to set up and use.