The integration of artificial intelligence (AI) into software testing was supposed to revolutionize the way developers approached some of the most tedious tasks, promising increased efficiency and reduced time spent on repetitive processes. However, despite the significant advancements and adoption
The rapid advancement of artificial intelligence (AI) capabilities has outpaced existing evaluation methods, creating significant challenges for major technology companies such as OpenAI, Microsoft, and Meta Platforms Inc. In response to this growing gap, these firms are developing internal
The Gearset’s 2024 State of Salesforce DevOps survey provides an extensive evaluation of the trends, practices, and priorities within the Salesforce DevOps community. It reveals the growing maturity of DevOps practices among Salesforce developers and underscores the efficiencies gained and
In the early days of software development, the waterfall model was the dominant methodology, emphasizing a linear and sequential approach that consisted of three main phases: defining requirements, building the software, and then delivering the finished product to the customer. While this
The development of embedded systems has traditionally been a complex and intricate process, often requiring extensive coding and deep technical expertise. However, the advent of no-code and low-code methodologies, which have long been established in enterprise software, is now making its way into
The rapid development of software-defined vehicles (SDVs) presents both exciting opportunities and significant challenges for developers. As the automotive industry shifts towards more advanced, software-centric vehicles, developers must navigate a complex landscape of data management, testing
