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.

  • @[email protected]
    0•2 months ago

    Sure but you’re also specifically telling it direct instructions which it will follow every time to the T, based on predetermined logic.

    That is no where near how an LLM works. Furthermore, most programming languages require effort to learn. They night not be machine language, or even an assambler, but its still a skill you actually have to learn beyond speaking your native tongue.

    Also one could make the argument that machine code is a “description” of what you want the CPU to do.

    • @[email protected]
      0•2 months ago

      The skill beyond your native tongue is knowing what a db does and how to describe what your app does. Aka a designer, with design language. Good luck with a LLM getting it to do what you want with no domain specific language.

      “No, no, not like that, I meant bigger…”