As part of the annual Bitrise State of Mobile App Development report, Bitrise compiles the most significant mobile app development takeaways from the year's data. Let's take a look at this year's State of Mobile App Development in 2022 Report.
Bitrise is making great new additional changes to how you can use Bitrise Insights. This includes changes to some of our chart titles, the identification of flaky tests, the display of build failure rate and typical duration and more.
One of the great features that made Unity popular is its ability to provide builds for multiple platforms out of the box. But there may be scenarios in which you would like Unity to comprise just a part of your application, while the rest is written with some other framework. A typical use case is using Unity’s functionality inside a Flutter application.
In this blog, learn how to manage your mobile apps all in one place for a more connected and efficient testing experience with Sauce Labs' new App Management dashboard. Ensuring a seamless user experience for your mobile app requires an increasing amount of testing. With customer expectations also increasing, It’s never been more important for mobile development teams to have a highly scalable and reliable testing solution in their tech stack.
We are going to look at how performance testing can work hand in hand with Artificial Intelligence and Machine Learning: As there are many Artificial Intelligence solutions to choose from and for the purposes of this post this is the easiest way to discuss the principles of Artificial Intelligence working with performance testing rather than discussing a particular framework.
Today, we are glad to release the Koyeb Terraform Provider and announce that we are a Hashicorp Technology partner. Terraform has become an essential tool for many developers who manage infrastructure and applications running in the cloud. We are excited to offer our users a way to manage their Koyeb resources using Terraform.
The promise of Artificial Intelligence (AI) in software testing is that an intelligent agent will one day replace humans. Instead of the struggle of manual labor involved in the endless unit and integrated proofing of software quality, machines will test computer systems without human intervention.
As the field of software development continues to evolve, one cannot help but wonder about the future of the profession. With the integration of AI tools, like ChatGPT, and Machine Learning, tasks that were once exclusive to human developers are now being handled by machines. While this has the potential to greatly increase efficiency and productivity, it also raises important questions about the future of the developer profession. How will developers adapt to this new reality?
