Systems | Development | Analytics | API | Testing

The greater tech community was front row for a high-stakes corporate saga this past weekend, complete with more plot twists than the Succession series finale.

In Swift there are 3 primary types of collections to store your data in a structured way, namely: In this article we aim to give you an overview of each. Specifically we want to show how they’re declared, illustrate the most common operations of each, provide comparisons between them where applicable and highlight the various performance considerations.

Hello there! My name is Maciej Mensfeld, and some of you might recognize me from my involvement in RubyGems Security, OSS commitments, or perhaps from Karafka: a multi-threaded, efficient Kafka processing framework tailored for Ruby and Rails. While I generally pen my thoughts on my personal blog, today's post is unique. This article results from a collaborative effort with the brilliant people over at AppSignal. To set the record straight, I don't work for AppSignal.

Closures provide a powerful, flexible way for iOS developers to define and use functions in Swift, replacing the blocks used in its predecessor Objective-C. They provide self-contained modules of functionality that you can move around in your code, similar to the lambdas found in other programming languages. Crucially, closures can capture and store references to any constants and variables from the context in which they’re defined.

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.

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.