Systems | Development | Analytics | API | Testing

This article shows you how to use the Maestro UI testing framework to write the tests and run them locally or on the cloud.

It’s launch day with Bitrise Insights V2, which means that analyzing your build, test, and credit data has never been easier.

At Google I/O 2021, Google announced the next evolution of Material Design, Material You, along with Android 12. The Material Design system’s biggest overhaul yet brought redesigned components, new colors, a wide range of shapes, simplified typography, new elevation, better accessibility, and many other tweaks. With this update, Flutter apps can have a consistent design across multiple platforms.

What an incredible week in Las Vegas for this year’s annual AWS re:Invent conference. The last time we were in-person for re:Invent pre-Covid, the show had grown to over 60,000 attendees. This year the energy and sheer volume of activity felt like we were right back there. The difference from 2019 in where the industry is, however, was readily on display throughout the week.

Learn how using a real device cloud can help resolve mobile app test errors and help teams streamline debugging. The content of this post is excerpted from the Sauce Labs webinar Resolve Mobile App Test Failures and Errors Faster with Kristian DeVito, Senior Solution Engineer at Sauce Labs. Bad customer experiences on mobile apps are costly—faced with crashes, freezes, or wait times, frustrated users will abandon brands, share negative reviews, or even simply uninstall the app.

We’re excited to announce that we recently updated the Bitrise CLI and in this article, we share what’s included in the Bitrise CLI 2.0.0 release.

Another year around the sun has passed, and Codemagic has already turned FOUR years old! Who remembers our launch in December 2018 at Flutter Live?! It feels like yesterday! We started out as a Flutter-specific CI/CD and then added support for other platforms, such as React Native, native iOS, native Android, Cordova, and Ionic. This year, we started supporting Unity CI/CD. We’re learning and growing year by year together with the community!

ClearML is an open source MLOps platform, and we love the community that’s been growing around us over the last few years. In this post, we’ll give you an overview of the structure of the ClearML codebase so you know what to do when you want to contribute to our community. Prefer to watch the video? Click below: First things first. Let’s take a look at our GitHub page and corresponding repositories. Later on, we’ll cover the most important ones in detail.