Vibe Coding Is Not My Future

Maximilian Schwarzmüller discusses the emerging concept of "Vibe Coding," a method of programming that relies heavily on large language models (LLMs) to generate code based on simple prompts. This approach, popularized by Andrej Karpathy, allows users to create applications by merely requesting features or bug fixes without deep engagement with the code itself. While some individuals have found success with vibe coding, Schwarzmüller shares his negative experience, highlighting the inefficiencies and potential pitfalls of this method. He argues that knowing how to code is generally more productive than relying on LLMs, as it allows for a better understanding of the code and its potential issues. He also points out that treating code as a "black box" can lead to undetected bugs and security vulnerabilities. Furthermore, he expresses concerns about the chaotic nature of vibe coding in team environments, where clear plans and collaboration are essential. Schwarzmüller concludes that while vibe coding may assist those with limited coding skills, it is not a sustainable future for serious developers, who should prioritize skill development and understanding over reliance on AI-generated solutions.

- Vibe Coding relies on LLMs to generate code from simple prompts, but may lead to inefficiencies.

- Understanding code is crucial for identifying bugs and security issues, which vibe coding may overlook.

- Vibe coding can create chaos in team projects due to its lack of structure and planning.

- Relying solely on AI for coding can hinder skill development and understanding of programming concepts.

- The unpredictability of LLM outputs raises concerns about the reliability of using natural language for coding.