Java is one of the most widely used programming languages because of its principle of “compile once, run anywhere.” Its many syntax constraints, though, mean that writing code in a basic text editor can become tedious. You can use an integrated development environment (IDE) like IntelliJ IDEA to improve your output, with features like compile-time error suggestions and intelligent code completion. One of the most helpful functions of IntelliJ is its debugging capacity.

Customer identity and access management (CIAM) has become indispensable for organizations. According to an article by the Business Research Company, the CIAM market is expected to reach $45.56 billion in 2025, at a compound annual growth rate of 18.6%. The research firm adds that the increasing use of Internet of Things (IoT) devices — such as smartphones, smartwatches, smart homes and medical sensors — will be the primary driving factor for this growth.

Keeping software testing processes on track is an overarching goal every QA lead wants for their team. Yet, development projects aren’t always plain sailing. No one wants unhappy clients, and, worse, overworked QA engineers and developers. We all have to accept that activities don’t always stick to the initial planning. Requirements change near the final stages, feature requests are unclear to business values, leaving little time for critical areas to get tested.

In the first blog in this series, I introduced the Digital Complexity Paradigm (DCP) – which, broken down in simple terms, attempts to capture the significantly increased complexity and speed at which digital transformation (and evolution) needs to be delivered. That complexity and speed are then compounded by the absolute need for unquestionable quality. In this next blog, we will look at technical complexity as it applies to the DCP.

We are thrilled to welcome Tuist on our list of Verified Steps. Read how you can incorporate the new Step into your Bitrise Workflow to create, mantain and interact with your Xcode projects a lot more effectively.

AWS Lambda has been around for a few years now, and it remains the most popular way to experiment with serverless technology. If you're not familiar with serverless, it's a model of development in which managing, provisioning, and scaling servers is abstracted away from application development. Servers do exist in a serverless world, but they are completely managed by the cloud provider, allowing developers to focus on packaging their code for deployment.

The world is entering a new age of technology. Low-code/no-code tools are already becoming a mainstay for many global teams. By going no-code/low-code, teams can now fill in the gap between the accelerating demands of application delivery and team skill sets. While these tools are nicely on their way to becoming mainstream for development, similar ones for test automation are pushing their way into the market.

The open-source movement has become the most talked-about topic in the tech industry for the past two decades. We see a huge demand, inclination, and adoption of open-source software by organizations as well as software workers. This quest for open source will only grow with time, and as testers, this opens up an array of opportunities for us as well as testing and tech communities. In this article, I have condensed my thoughts on Open Source for Testers.