The integration of LLMs with Python libraries is progressing, highlighted by the development of smartfunc which turns docstrings into LLM functions. This advancement is seen as beneficial for improving code documentation practices and enhancing coding efficiency. The comments suggest that LLMs are now proficient enough to generate accurate Python code based on docstrings. Enhancing the clarity of docstrings encourages better documentation and can lead to consistency between code and documentation. This aligns with visions of the future where natural language can serve as a programming language. Moreover, employing LLMs as compilers rather than junior developers is proposed as a more effective and scalable approach to LLM-enhanced programming.