In June, Apple announced a two-year transition from Intel to Apple Silicon for the iMac and MacBook line. I knew Apple had lost their mind. But, before Christmas, I owned my very own chunk of Apple Silicon living in an attractive milled-aluminum case.
In this article, I’ll discuss the Apple M1 silicon-on-a-chip (SoC) used as a software development computer. I’ll cover installation, and I’ll also talk through running apps that support development on my M1.
This post contains a recap of my research into the subject and an exploration of Sir Tim’s so-called new Internet – a technology called Solid. We’ll start by exploring what Solid is, and then we’ll talk about its purposes and how to use it. It’s a pretty cool technology!
So, let’s dive in. What exactly has Sir Tim Berners-Lee created?
On my last two projects, I decided to give Azure Data Studio a try to see how it measured up to SSMS. Azure Data Studio gives you a more modern editor experience. It’s comparable to Visual Studio Code with IntelliSense, source control with GIT, and an integrated terminal for Powershell or SQLMD commands.
Azure Data Studio was built with a data platform user in mind, and its easy editing and export options, built-in charting of query results, and customizable dashboards make it an incredibly valuable tool.
In this post, I’ll go over some of the basics of how to use Azure Data Studio.
GitKraken is a graphical user interface for Git built on top of the Electron framework – much like the popular Visual Code editor is. GitKraken is cross-platform, which means that developers can use it on Windows, Mac, and/or Linux. No matter what type of development environment you’re working in, you can have the power of a graphical user interface for Git.
GitKraken has all of the expected features of a graphical user interface for source control usage, AND it has a few hidden jewels which make it an absolutely outstanding tool to use. These are listed and discussed in the blog below.
I have found myself in the following scenario many times throughout my career. Everyone is ready to get the project started. You know what you are going to be working on, and as the frontend developer, you get started right away. You get to the point that you are ready to test your code to see how the API calls work. There’s one major thing in your way, though. The APIs aren’t done yet.
You could just create some static JSON files and read them in, but that doesn’t really test out calling an API. That’s where JSON Server swoops in to save the day. In this post, I’ll walk through how to use JSON Server. We’ll set up our environment, serve a simple JSON file, and generate mock data.