A Google Brain Program Is Learning How to Program
The idea of using machine learning to teach programs how to automatically write or modify code has always been tempting for computer scientists. The feat would not only greatly reduce engineering time and effort, but could also lead to the creation of novel and advanced intelligent agents. In a new paper, Google Brain researchers propose using neural networks to model human source code editing. Effectively this means treating code editing as a sequence and having a machine learn how to “write code” like in a natural language model — by analysing a short paragraph of editing, the model can extract intent and leverage that to generate subsequent edits.
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