Systems | Development | Analytics | API | Testing

For our latest machine learning specialist interview on our blog, we’ve welcomed Ivan Goncharov, a machine learning engineer on the growth team at a unicorn MLOps startup, Weights & Biases.

The mobile market is changing rapidly, from the explosive growth of apps and devices to the evolving complexity of software errors. The digital experience is now primary to our everyday lives.

More and more companies are migrating their enterprise resource planning (ERP) to the cloud. It relieves them of the burdens typically associated with installing and maintaining complex software systems, and it’s arguably more secure because it’s monitored 24/7 by dedicated experts. There is no question that cloud-based ERPs like NetSuite, Epicor, Microsoft Dynamics, and Oracle Cloud are gaining steam. Rolling out a new ERP system can be highly disruptive to your organization, though.

Test-driven development, or TDD, is a testing method where you first convert the feature requirements to tests and then write code to make the tests pass. In this article, we take an objective look at test-driven development, its benefits, downsides, and best use cases.

In November 2020, Apple released the M1 MacBook and, one year later, the M1 Pro/Max chips. Since then, we have all read and heard from other people about the crazy performance improvements. Perhaps you already read the tweet by Jameson Williams (a staff software engineer at Reddit): So we know that M1 machines are fast, but should we use them in CI/CD to speed up our pipeline? To help answer that question, we compared the M1 mini, Mac Pro, and Mac mini for iOS and macOS builds with Codemagic.

A hands-on guide explains how to build and package Flutter Linux Desktop apps with Bitrise so you can reach more users in browsers with the same experience as on desktop devices.