Software now plays a central role in many aspects of human society. Current software development practices involve significant developer effort throughout the software life cycle, including the development of new software, continuous improvement of code structures, maintenance of legacy software, and integration of existing software into more contexts. In this talk, I will discuss three automated techniques designed to streamline these processes: dynamic program inference, static semantic analysis, and syntactic adaptation. These approaches offer diverse strategies for addressing the challenges inherent in software migration and evolution. Our goal is to reduce manual effort and improve software quality across various contexts and environments.