  The increasing adoption and commercialization of generalized Large Language
Models (LLMs) have profoundly impacted various aspects of our daily lives.
Initially embraced by the computer science community, the versatility of LLMs
has found its way into diverse domains. In particular, the software engineering
realm has witnessed the most transformative changes. With LLMs increasingly
serving as AI Pair Programming Assistants spurred the development of
specialized models aimed at aiding software engineers. Although this new
paradigm offers numerous advantages, it also presents critical challenges and
open problems. To identify the potential and prevailing obstacles, we
systematically reviewed contemporary scholarly publications, emphasizing the
perspectives of software developers and usability concerns. Preliminary
findings underscore pressing concerns about data privacy, bias, and
misinformation. Additionally, we identified several usability challenges,
including prompt engineering, increased cognitive demands, and mistrust.
Finally, we introduce 12 open problems that we have identified through our
survey, covering these various domains.
