Flutter, Google's open-source UI toolkit, has gained immense popularity for building natively compiled applications for mobile, web, desktop, and embedded devices from a single codebase. With its versatility, developers have embraced Flutter for creating dynamic and responsive user interfaces. However, when it comes to test automation, Flutter apps require a unique approach due to their underlying architecture.
Apps built with Elixir can support massive scalability, real-time interactivity, great fault tolerance, and the language's syntax is actually a joy to use. Elixir is a natural fit for applications such as chat apps, data dashboard apps, and anything needed to support a large userbase. In this article, we'll use Elixir — specifically, the web framework Phoenix — to build a multi-tenant link shortening app. Let's get started!
Artificial intelligence holds the potential to enhance efficiency, streamline processes, and improve decision-making across various government sectors. But without robust safeguards, there is a heightened risk of biased decision-making, privacy breaches, and misuse of sensitive data. The Biden administration’s AI executive order establishes new standards for AI safety and security as well as for responsible use of AI at federal agencies and in state and local governments.
AI growing relevance in software testing has garnered substantial attention in today's software industry. While incorporating AI and ML approaches into software testing is not required, it is worthwhile to explore and study how these methods may deliver valuable benefits in specific elements of the testing process. With the incorporation of artificial intelligence (AI) techniques software testing will undergo a transformational transition.
In API development, the discourse often gravitates towards technical specifics and functionality. While attending the 2023 Platform Summit hosted by Nordic APIs in Stockholm, our head of Developer Relations, Matt Tanner, shifts the spotlight to the critical yet underappreciated facet of developer experience. His insights underscore its centrality in API adoption and effectiveness. Here’s some highlights.
