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.

  • fuzzzerd@programming.devEnglish
    1·
    2 months ago

    There are a LOT of superficial devs out there. You dont even have to be interviewing junior devs. Plenty of them out there at medium and senior levels. They existed before LLMs were spitting code like today, and this will undoubtedly lower the bar for bad developers to enter. It remains to be seen if this can help the gold developers in a meaningful way.