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by Vadim Markovtsev At: FOSDEM 2019 https://video.fosdem.org/2019/H.2213/ml_on_code_code_review_suggestions.webm Many developers hate doing code reviews. Reading foreign code is hard, and suggesting improvements is even harder. Yet a dramatic portion of code review time goes to figuring out the boring details: formatting, naming, microoptimizations and best practices. We believe that all of those can be automated with ML on Code, either learning from a particular project or from all the open source code in the world which is relevant. This talk will be about open source "analyzers" - ML-driven code review agents which deal with the boring but important details. Room: H.2213 Scheduled start: 2019-02-03 09:50:00+01 Source: https://www.youtube.com/watch?v=T-YnRZlwBus Uploader: FOSDEM