Most embedded bugs aren’t hardware problems. They’re design problems , born from code that grew organically across board revisions, tightly knotted around pin numbers, register addresses, and brittle HAL calls scattered everywhere and with scalability things can get messy, adding to the technical debt. Its important we talk about how not to make your embedded software tightly coupled and leave room for extension & scalibility
How Woodpecker CI, Cosmopolitan, and Google Pigweed give small firmware teams automated build-test-flash pipelines
In good DevOps practice, automation across building, testing, and releasing software plays a prominent role. CI (continuous integration) acts as a safety net: it takes raw materials (code), assembles them (builds), and quality-checks them (tests). If CI fails, the second half of the acronym (CD: continuous delivery/deployment) becomes too risky and can lead to serious production issues. There are several DevOps tools providing complete CI/CD services, but things get tricky while developing and testing embedded software.
More information is not equal to more clarity, Here I have assembled a simple guide to turning information overload into clarity using Tiago Forte’s the CODE and PARA methods.
The C language has powered satellites, pacemakers, and aircraft flight computers for five decades. That longevity is not accidental, and neither is the discipline required to keep it safe.
Good measurement is extremely essential in testing, because acquired data drives key engineering decisions. While engineers prefer automated testing to minimise human error and accelerate the process of data acquisition. But automated testing is not all about running scripts on a loop. If not checked, automated testing can introduce incorrect conclusions and poor engineering decisions
This blog post explores why memory management is a critical bottleneck in embedded systems and how C++17’s Polymorphic Memory Resources (PMR) compare to the default std::allocator in performance, determinism, and memory efficiency. (See correction notice - original results were flawed.)
Seven ways C++ inheritance can create issues, and how Rust’s composition model fixes them all. From diamond problems to fragile base classes, see why composition wins in the long run.
UNECE R155/R156 are regulatory requirements for vehicle cybersecurity and software updates, while ISO 26262 (functional safety) and IEC 62443 (industrial/IoT cybersecurity) are technical standards. The relationship is that UNECE mandates compliance at a regulatory level, and ISO/IEC standards provide the engineering frameworks and evidence manufacturers use to demonstrate compliance
Managing memory and resources like files, network connections, or locks is essential in programming. While some languages rely on garbage collectors for automatic cleanup (Java), C++ and Rust use RAII (Resource Acquisition Is Initialization) to handle this deterministically.
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