Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.

Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.

  • Dunstabzugshaubitze@feddit.org
    671·
    2 months ago

    I’ve seen enough programmers blindly copypasting code from stackoverflow and other forums without thinking and never understanding the thing they just “wrote”, to know that tools like copilot won’t make programmers worse, they will allow more people to be bad programmers.

    people need to read more code, play around with it, break it and fix it to become better programmers.