The research landscape in programming and software development is witnessing a significant shift towards leveraging neurocognitive insights and advanced AI tools to enhance coding efficiency and comprehension. Studies are delving into the brain's response to ambiguous code structures, suggesting parallels with natural language processing mechanisms, which could lead to more intuitive coding environments. Additionally, the integration of AI-driven programming assistants is being explored to support users in debugging and understanding algorithmic tasks, with findings indicating that textual representations of code may offer advantages over traditional programming languages in certain contexts. Furthermore, there is a growing focus on breaking language barriers for non-native English speakers, utilizing multilingual AI capabilities to empower students in programming education, thereby fostering a more inclusive learning environment. These developments collectively point towards a future where programming tools are more adaptive, accessible, and aligned with human cognitive processes.