Machine Learning on Go Code

Explore machine learning applications for Go programming in this GopherCon 2018 talk by Francesc Campoy Flores. Discover how ML techniques can enhance Go development, from predicting characters to identifying potential bugs. Learn about embeddings for identifiers and source code, recurrent neural networks for code completion, and future research directions. Gain insights into the advantages and limitations of applying ML to code, with minimal mathematical complexity. Understand how these techniques could impact developer workflows and improve code quality. Delve into topics like data processing, static analysis, neural networks, and automated code review. Consider the implications of ML on software development and how it may empower rather than replace developers.