The AI industry's claims about AI coding assistants boosting productivity significantly appear to be massively overblown, per a new report.

“No Duh,” say senior developers everywhere.

The article explains that vibe code often is close, but not quite, functional, requiring developers to go in and find where the problems are - resulting in a net slowdown of development rather than productivity gains.

  • jaykrown@lemmy.worldEnglish
    16·
    5 days ago

    I’ve found success using more powerful LLMs to help me create applications using the Rust programming language. If you use a weak LLM and ask it to do something very difficult you’ll get bad results. You still need to have a fundamental understanding of good coding practices. Using an LLM to code doesn’t replace the decision making.

    • jj4211@lemmy.worldEnglish
      2·
      5 days ago

      Based on my experience with claude sonnet and gpt4/5… It’s a little useful but generally annoying and fails more often than works.

      I do think moderate use still comes out ahead, as it saves a bunch of typing when it does work, but I still get annoyed at the blatantly stupid suggestions I keep having to decline.

      • jaykrown@lemmy.worldEnglish
        1·
        4 days ago

        I remember GPT 4 being useless and constantly giving wrong information. Now with newer models they’ve become significantly more useful, especially when prompted to be extremely careful and to always double check to ensure the best response.