PC applications that interact with MCUs are used by developers for a number of reasons, such as data visualization, monitoring during testing campaigns, and command and control via a GUI. In this article, we’ll explore mapping an MCU’s peripherals to your personal computer to simplify development of PC applications built for embedded systems. Like Interrupt? Subscribe to get our latest posts straight to your mailbox.

Continuous integration (CI) is the process of integrating changes from multiple contributors to create a single software project. A key component for a smooth CI pipeline is testing. Tests prove that the code does exactly what it says on the tin and that it’s safe to merge the code into the central repository. Tests also anticipate edge cases and ensure that the code handles such cases in a deterministic manner.

In today’s ever-evolving digital landscape, data is the new gold. And with the advent of generative AI in cloud services, businesses have a unique chance to transform their data in powerful new ways.

Over the last several months, AI has been everywhere in the technology space and far beyond. Since it directly affects the tech ecosystem, however, it’s no surprise that developers have harnessed artificial intelligence to create tools that boost productivity and enhance workflows. Artificial intelligence is essentially a computer’s ability to perform tasks at the same level (and often beyond) as intelligent beings.