Why I Don’t Vibe Code (jacobharr.is)

A developer shares their personal reflections on the trend of "vibe coding" with Large Language Models (LLMs), expressing skepticism about its effectiveness for their own workflow. Although LLMs are praised for potentially revolutionizing software development by streamlining tasks, the developer finds value in traditional coding practices and is wary of reliance on AI due to unexpected costs and the perceived loss of control over complex coding challenges. They recount an anecdote of trying an LLM integrated into an IDE but abandoning it after running out of credits, ultimately returning to their preferred coding environment, Emacs. The significance of this perspective lies in the ongoing debate within the AI/ML community about the balance between automated tools and the essential complexities of programming that require deep understanding and nuanced decision-making. The developer argues that while LLMs can reduce "accidental complexity," they may not effectively address "essential complexity," which involves the intricate design and architecture of systems that only experienced developers can navigate. By emphasizing the importance of cognitive engagement and creativity in programming, the article raises important questions about the future role of AI in software development and the potential risks of over-reliance on automated solutions.