We are entering the age of what Tesla AI director Andrej Karpathy calls “Software 2.0,” where neural networks write the code and people’s main jobs are defining the tasks, collecting the data, and building the user interfaces.
But not all tasks can be tackled by neural networks — at least, not yet — and traditional software development still has a role to play. Even there, however, artificial intelligence, machine learning, and advanced analytics are changing the way that software is designed, written, tested, and deployed. In this dynamic environment, software developers like Adelaide custom software development play a crucial role in adapting to these technological shifts, blending traditional coding skills with an understanding of AI and machine learning to create innovative and efficient software solutions.
Testing
Brazil-based TOTVS provides mission-critical industry software for about 100,000 enterprise customers. For example, trillions of dollars are transacted each day in its financial services solutions.
Such applications require capable testing. Test case creators need to be extremely deliberate about how they design testing scenarios, each one taking several hours to create.
Keeping up is a significant challenge, says Vicente Goetten, executive director at TOTVS Labs. Each test case must be customized to fit the user interface. With applications constantly being redesigned, interfaces are always changing. And if the platform itself changes, such as when updating to a newer version of JavaScript, all design elements change at once.
