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.

  • pixeltree@lemmy.blahaj.zone
    4·
    2 months ago

    I don’t think it’s making devs worse, however I do think it’s significantly lowering the bar to entry to the point where people who don’t have enough knowledge to actually do the job well are becoming proceedingly common. Theoretically they should get weeded out by a good interview process but corporate be corporate

    Not that my opinion is worth anything, it’s not like I have anything to back it up.

    Please disregard any takes I may have

    • BatmanAoD@programming.dev
      1·
      2 months ago

      I mean, at least you acknowledge that you’re presenting an opinion. This blog post just tries to gloss over the fact that it’s pure speculation.