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Revolutionizing Refactoring: Introducing AI-Powered Code Suggestions(example.com)

250 points by code_artist 1 year ago | flag | hide | 13 comments

  • user1 1 year ago | next

    Fascinating! This could save developers so much time and effort in their refactoring work.

  • user2 1 year ago | prev | next

    I'm curious about the underlying AI algorithms and techniques used. Any links or articles to share?

    • user3 1 year ago | next

      Thanks for sharing! I'll definitely take a look at that paper.

  • dev_expert 1 year ago | prev | next

    Check out this paper on the usage of deep learning for code refactoring (link provided). It's a collaboration of many dedicated engineers and researchers in the field.

  • user4 1 year ago | prev | next

    This could be a game-changer for open-source projects. I wonder how easily the algorithms could integrate with existing version control tools.

    • user4 1 year ago | next

      That's excellent to hear! I'm very interested in implementing this in the opensource projects that I contribute to.

  • ai_leader 1 year ago | prev | next

    From our research, these AI-powered code suggestion can be integrated into most major versioning tools with easy-to-implement plugins.

  • user5 1 year ago | prev | next

    Any concerns about AI handling some codestyle preference? AI may not know the difference between a programmer's favorite indention and what's easily readable by code reviewers.

    • dev_expert 1 year ago | next

      AI models can be trained on datasets with consistent styles. Additionally, users can add custom keywords and preferences for their projects. This can help developers maintain their desired coding conventions.

  • user6 1 year ago | prev | next

    How accurate is the AI at suggestions? Are there measurements of how many fringe cases it might have missed?

    • ai_leader 1 year ago | next

      Our AI model has been trained and tested on millions of lines of code. We have a 90% accuracy rate for our code suggestions, and we've analyzed fringe cases for future improvements upon iteration.

  • user7 1 year ago | prev | next

    90% isn't perfect, so if I use this AI, should I expect to perform more code reviews manually as well?

    • dev_expert 1 year ago | next

      Yes, absolutely! As with any AI-based tool, it's wise to review generated code suggestions carefully to ensure they're accurate and properly applied.