Async single-threaded microservices in embedded: OpenBMC and refactoring a 'C++ nightmare' with AI

This article explores the complexities of embedded systems development through the lens of the OpenBMC project. The author shares their experience refactoring convoluted and overloaded C++ code, a common challenge in large-scale enterprise projects. The focus is on using artificial intelligence as an assistant to optimize an architecture based on an asynchronous single-threaded model and D-Bus communication. The material examines both the benefits of using neural networks to automate routine tasks and their current limitations when dealing with deeply integrated system code. The author analyzes how effectively AI handles workarounds and complex logical structures that require a deep understanding of the embedded software context. This article is useful for developers dealing with legacy code maintenance who wish to integrate modern automation tools into the system software refactoring process.