Systems | Development | Analytics | API | Testing

Build log grouping: Introducing a new and improved build log feature for mobile app developers

Build log grouping is a new feature that streamlines the build log process, making it easier to understand why a build failed and at which Step the failure occurred. Read how build logs are now grouped by steps, and how we improved our error message display.

How-to configure SageMaker with GitHub Actions

GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!

How New Lumada Industrial DataOps 5.1 Scales Industrial IoT Solutions

Data quality is fairly simple nomenclature to describe the state of the data being processed, analyzed, fed into AI, and more. But this modest little term belies an incredibly critical and complicated reality: that enterprises require the highest level of data quality possible in order to do everything from developing product and business strategies, and engaging with customers, to predicting the weather and finding the fastest delivery routes.

A pragmatic guide to BuildContext in Flutter

As a senior Flutter developer, a big part of my daily job consists of reviewing code, mentoring other developers, and helping them with their problems. One mistake that I noticed developers repeating on many occasions is misusing BuildContext. I analyzed why this happens and came to the conclusion that it is because of an incomplete understanding of what BuildContext is, how it works, and its scope and lifecycle.

Examples of AI in Software Development

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.