Testing
Testing PLC programs is one of the most underinvested areas in industrial software engineering. A typical automation project ships after manual bench testing with a handful of scenarios, with no regression suite to protect against future changes. When a firmware update or logic modification breaks an edge case, you find
Testing
IoT systems break in ways that pure software systems don't. A cloud backend can be tested in isolation. An IoT device can't — it's physically attached to the real world, communicating over unreliable networks, running firmware on constrained hardware. Testing connected devices requires a framework
Testing
Embedded firmware has a reputation for being untestable. Hardware dependencies, bare-metal loops, global state, and memory constraints all make traditional testing approaches difficult. Many firmware teams rely entirely on hardware-in-the-loop testing — running code on real devices and checking behavior manually. This approach is slow, doesn'
Embedded Systems
Embedded systems testing has a reputation for being painful — manual probe sessions, proprietary test frameworks, and tests that only run on physical hardware. Python and pytest change the equation. You can write expressive, maintainable tests that run against real hardware or simulators, integrate with CI, and give embedded teams the