The best problem-solving writing in software engineering — databases, performance, security, frontend and distributed systems, in one feed.
Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners with bespoke needs and a do-it-yourself ethos is even harder. In today’s post, we will give you a peek into how we built ML Home, the internal user interface for Spotify’s Machine Learning Platform, and the product lessons we learned along the way in our quest to entrench it in Spotify’s ML
As we approach the end of the year, let's look ahead at some trends and predictions for 2022
In a way, these two books are responsible for my entire professional career. With early computers, you didn’t boot up to a fancy schmancy desktop, or a screen full of apps you could easily poke and prod with your finger. No, those computers booted up to the command line. From here, if you were lucky, you might have a cassette tape drive. If you knew the right commands, you could type them in to lo
2021: Year in review
What better way could there be to start the new year than with some fresh inspiration? Our collection of wallpapers for January 2022 is bound to put a smile on your face — and maybe spark new ideas, too.
Lea Verou made a Web Component for processing Markdown. Looks like there were a couple of others out there already, but I agree with Lea in that this is a
A curated selection of our favorite 2021 posts, spanning technologies & engineering disciplines, with a few classics you still love, read, and share.
Scoping, estimating, and running digital projects can often feel like an exercise in futility. In this article, Paul Boag explains why you need to start breaking your projects down into manageable phases and why that’s the best way to achieve significant benefits.
As the year winds down, we’re highlighting some of the incredible work from GitHub’s engineers, product teams, and security researchers.
Have you already built and published a Gatsby theme? In this article, Paulina Hetman explains how Gatsby themes work and what problems they can solve by comparing Gatsby themes with their WordPress counterparts.
The first time I had my breath taken away by a humble scrollbar was on this very site. When CSS-Tricks v17 rolled out with its FAT CHONKY BOI, my jaw dropped.
How do you make a great website? Everyone has an answer at the ready: Flashy animations! The latest punk-rock CSS trick! Gradients! Illustrations! Colors to
In 2021, we continued to live with the effects of the COVID pandemic and Internet traffic was also impacted (differently than in 2020) from it.
Last year, we kicked out a roundup of published surveys, research, and other findings from around the web. There were some nice nuggets in there, like a
One thing people can do to make their websites better is to remember that you are not representative of all your users. Our life experiences and how we
How much time do you spend designing the content presentation for your websites? When you write a new blog post or create a new page, are you thinking about
Range inputs have notoriously been a pain to style. Each browser renders the input differently requiring you to use vendor prefixes in order to create a cohesive look and feel. In this article, we’ll take a look at the quirkiness of the HTML range input and demonstrate how to style the input to look consistent across all major browsers.
NGL, I was a little overwhelmed when I sat down to write this article. There are so many things that immediately flooded my mind—take out any extra divs; use
A meaningful user experience is what can set your site apart from others. But what makes an experience truly meaningful? And how to achieve that? The tools, tips, and resources in this post not only help you to come up with a UX strategy that works for you and your team but also to circumvent potential UX pitfalls.
In this third and last part, I’ll share the results of my research on Apache HTTP server, and I’ll show some of the vulnerabilities that I’ve found.
GitHub was honored to contribute to the Santa Clara Principles on Transparency and Accountability in Content Moderation 2.0.
You’ve probably seen the “Data Science Hierarchy of Needs” (pictured below) before. Inspired by Maslow, it shows the tooling you would use at different levels in data science—from logging and user-generated content at the bottom, to AI and deep learning at the very top. While hierarchies like this one can serve as helpful guides, at Shopify, we don’t think it always captures the whole picture. For
Join us in our Year in Review 2021 focused on the most popular domains-websites
