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I've always wondered if we could leverage the vast amount of GitHub code - that assumably all compiles without error or undefined behaviour on their master branches - train some sort of neural net to better catch syntax errors.

Has anyone done something like this, or am I riding the 2016 neural net hype train still?

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This isn't specifically for syntax errors, but Jacob Jackson released TabNine [0] last year, which is an autocompleter trained on files from GitHub [1].

TabNine was acquired by Codota earlier this year [2].

[0] https://www.tabnine.com/

[1] https://www.tabnine.com/blog/deep/

[2] https://techcrunch.com/2020/04/27/codota-picks-up-12m-for-an...

Pretty amazing, and congrats to Jacob Jackson. (I may be a little envious) ;)

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