Embedded systems programs often fail because critical engineering documentation drifts out of alignment over time and distance. This results in a team that is correctly following the wrong instructions. All forms of engineering documentation suffer from this problem, and it really is the silent killer of many programs.
llmda.ai… Read More
Accurate, complete, and consistent technical documentation is a critical element of success for any embedded system design project. This includes IP, SoCs, and the associated hardware and software infrastructure. When documentation contains errors, the consequences go beyond engineering inefficiency. Errors that drive… Read More
Engineering documentation has always been difficult to produce, maintain, and scale. But with the rise of generative AI, many organizations are asking a reasonable question: can a general-purpose large language model (LLM) like Claude automate the work? At first glance, the answer appears to be yes.
Modern LLMs can generate… Read More
