Systems | Development | Analytics | API | Testing

Digitalization is revolutionizing every aspect of our lives, and understanding the concepts of open source and open standards is crucial. But these aren't just geeky tech concepts, they represent a whole philosophy of collaboration and sharing that's fueling innovation. And open standards? Think of them as the great enablers of interconnectivity. These guidelines ensure different technologies can talk to each other and share data seamlessly across platforms.

Let’s start with a statement everyone can agree on: AI coding is now a permanent fixture of the software development lifecycle. Even if your team hasn’t introduced it officially yet, it’s only a matter of time before one of your peers kicks off the discussion or pushes a PR that, perhaps even unbeknownst to you, is entirely AI-generated. Now, let’s rub some folks the wrong way: AI coding in a microservices architecture is a recipe for disaster.

The most apparent shift that the 21st century has witnessed is the perception of the health and wellness industry. In the not-so-distant past, staying fit and living a wellness-focused lifestyle often meant relying on those old workout tapes or fitness DVDs. Well, been there, done that! However, as we fast forward to today, look at how the wellness industry has changed! We've witnessed a digital transformation in a way that is sure to make an impact on the scope of wellness industry in future and beyond.

Quality assurance (QA) is critical to delivering brilliant customer experiences. However, with a plethora of testing types and methods, testing a mobile application for release can be overwhelming. We’ve outlined the essential mobile application testing process below to get you through it.

With mobile apps expected to reach more than 183.7 billion installations globally, there has also been an increase in mobile app security threats. Today’s cyberattacks are highly sophisticated, requiring constant vigilance due to many unknown or emerging threats. These threats require a proactive approach to mobile application security. End users can take steps to protect sensitive data on their devices, such as avoiding unprotected public Wi-Fi and setting up multi-factor authentication.

The current period is witnessing a remarkable upswing in the mobile app development industry, especially following the rollout of the latest frameworks in iOS. This surge is accompanied by several revolutions occurring simultaneously, each influencing and intertwining with the others. With the advent of digital transformation, there's a potential tenfold increase in app speed, and wearable tech is giving rise to seamless integration with our physical world.

A well-known debate: tabs or spaces? Sure, we could set up a Google Form to collect this data, but where’s the fun in that? Let’s settle the debate, Kafka-style. We’ll use the new confluent-kafka-javascript client (not in general availability yet) to build an app that produces the current state of the vote counts to a Kafka topic and consumes from that same topic to surface them to a JavaScript frontend.

Besides a few initiatives, global efforts to address the unprecedented challenges and opportunities presented by AI remain fragmented. The recent "AI Safety Summit" provided a crucial opportunity to emphasize the importance of international perspectives to fully tap into AI's potential. It has helped guide the conversation around responsible AI development and governance, ensuring the benefits of AI are maximized while mitigating its risks.

The ability to test on a variety of operating systems, browsers, and devices is a huge part of our Secret Sauce. With the recent release of iOS 18, which is also now supported on Sauce Labs Real Device Cloud, we want to share what's in it for developers and testers.

A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.