Systems | Development | Analytics | API | Testing

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?

Improving patient care is right up there with the importance of optimizing the allocation and efficiency of precious resources when it comes to today’s healthcare. But that’s been difficult for people alone to accomplish, even with automation. The good news is that machine learning is now addressing these challenges and a company called Iodine Software is leading the innovation.

Build Pipelines, beta, is now available on all plans for Bitrise users. Organize your CI/CD process, set up advanced configurations with multiple tasks, and run them in parallel—today.

Uncontrolled cloud costs pose an enormous risk for any organization. The longer these costs go ungoverned, the greater your risk. Volatile, unforeseen expenses eat into profits. Budgets become unstable. Waste and inefficiency go unchecked. Making strategic decisions becomes difficult, if not impossible. Uncertainty reigns.

By Victor Sonck, Developer Advocate at ClearML Reporting your findings to colleagues, managers, or even your future self is a core component of any modern ML workflow. Having one central place where you can easily build a summary of your work makes it that much easier. That’s where ClearML Reports come in.

In this post, Nathaniel Reynolds, Associate Director of Informatics Architecture & DevOps at Moderna Therapeutics, talks about service mesh, removing limitations with open source, and how AI helps developers do more. No one can predict the future, but here’s a safe bet: in the next five to ten years, we aren’t going to have fewer applications. We’re going to have more. And that means connectivity requirements are going to get bigger and bigger over time.

You can now generate HTML test reports and display them in the Artifacts tabs with Bitrise builds.

Most software projects leverage synthetic tests to verify functionality early on, but physical devices are the ultimate form of quality assurance. While a few smartphones may suffice early on, a growing user base means quality assurance teams must ensure support for a broad range of devices, operating systems, and browsers with public or private device clouds. Device clouds make it easier to manage devices and run automated tests from anywhere.