  Software documentation is an essential but labor intensive task that often
requires a dedicated team of developers to ensure coverage and accuracy. Good
documentation will help shorten the development cycle and improve the overall
team efficiency as well as maintainability. In today's crowd-driven development
environment, good documentation can go a long way in building a developer
community from scratch. To that end, we took the first steps in building a tool
called Autodoc that can assist software developers in writing better
documentation faster. Autodoc goes beyond traditional boilerplate template
generation. Our integrated tool uses Deep Learning methods to construct a
semantic understanding of the code. Just like machine translation in natural
languages, Autodoc can translate snippets of code to comments, and insert them
as short summaries inside the docstring. We also demonstrate the integration of
Autodoc as an IDE plugin as well as a web hook from within software hosting
platforms when submitting auto-documented code to user's Git repository.
