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Show HN: Personal Code Review Assistant with Deep Learning(codeassistant.com)

400 points by codeassistant 1 year ago | flag | hide | 14 comments

  • john_doe 1 year ago | next

    Great work! I've been looking for something like this. How does it compare to other tools on the market? Any significant advantages?

    • dev_enthusiast 1 year ago | next

      I can answer that! I've tried other tools like CodeClimate and Codacy, but this one outperforms them due to its real-time analysis and Suggestion Switcher feature. It's a game changer.

  • jane_doe 1 year ago | prev | next

    Very impressive. I would love to hear more about the deep learning algorithms you used, specifically for identifying common code issues.

    • dnl_wiz 1 year ago | next

      We use a custom built deep learning model based on Convolutional Neural Networks. We trained it with thousands of code examples that covered various programming languages and code patterns. Since then, it has evolved and can detect even subtle code issues.

  • xyz91 1 year ago | prev | next

    I wish I had this when I was coding for my last competitions. It would have saved me hours! Any plans to make it free for open-source projects?

    • r_master 1 year ago | next

      We don't have those plans yet, but it's an excellent idea. We'll discuss it with the team and consider implementing something for open-source communities.

  • coder_gal 1 year ago | prev | next

    How does it handle false positives, and can we customize the sensitivity? I dislike generic tools that aren't tailored to my style or team's best practices.

    • ml_ninja 1 year ago | next

      We've built a false positive mitigation mechanism based on user feedback and periodical model updates. As for the sensitivity, we're developing a feature to allow users to customize their feedback settings. Stay tuned!

  • autocode2022 1 year ago | prev | next

    This is amazing! Deep learning is making its way into every nook and cranny of development. I wonder how it will improve code refactoring or automated bug fixing in the future.

    • ai_guru 1 year ago | next

      You've brought up a great point. With more advanced algorithms and refined training, we might see a real surge in automated refactoring, performance optimization, and even automatic code generation.

  • code_savy 1 year ago | prev | next

    The Suggestion Switcher sounds outstanding, very intuitive. But how exactly does it work, and can it be integrated with my favorite IDE (like VS Code or IntelliJ IDEA)?

    • learn2code 1 year ago | next

      Absolutely! Suggestion Switcher generates recommendations for improving code in real time, and it can be integrated into common IDEs such as the ones you've mentioned. Our team is working hard on plugin development.

  • java_dev 1 year ago | prev | next

    Neat! But what about specific support for languages other than JavaScript, TypeScript, and Java? The post doesn't mention whether support is present or in the works.

    • programmin_terest 1 year ago | next

      Initially, we will roll out with JavaScript, TypeScript, and Java, but other languages are on our roadmap! We want to ensure our models provide insightful suggestions in a broad yet manageable scope, so we're beginning with a small set of the most popular languages.