In what could be a sign of things to come, machine learning algorithms that apply NLP techniques to source code could replace the need for human reviewers. The notion of a computer reviewing source code underscores that it’s not just low skill jobs at risk in the Fourth Industrial Revolution.

In this video, Francesc Campoy, VP Developer Relations at source{d} talks about ML-assisted code review (Lookout) and the Public Git Archive.

You’ll learn how and why source{d} makes uses a dataset based on many GitHub repos available as public datasets to train its models and how “assisted code reviews” apply ML, image processing, and NLP concepts – like word2vec – to code.

Francesc shares his favorite MLonCode moments, why it’s made him a better developer, what’s coming next, and where you can get started.

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