Automated Docstring Generation For Python Funct... -

Tools like Pyment attempted to "translate" between different docstring formats (Google, NumPy, Epytext) but struggled to interpret the actual logic of the code.

This paper examines the evolution and implementation of automated docstring generation for Python functions, focusing on how Large Language Models (LLMs) have transformed documentation from a manual burden into an integrated part of the development lifecycle. The Role of Docstrings in Python Automated Docstring Generation for Python Funct...

Automated docstring generation has reached a tipping point where it can significantly reduce the "cold start" problem of documentation. While human oversight is still required to verify nuances and complex business logic, the integration of LLMs into pre-commit hooks and CI/CD pipelines ensures that Python codebases remain accessible, maintainable, and professional. Tools like Pyment attempted to "translate" between different