A Eulogy for Vim

Original Article ↗ Hacker News Discussion ↗

A fork of the Vim text editor, created to avoid any code written with generative AI, is prompting debate over whether such tools “taint” long‑standing open source projects or simply reflect modern development practice. Commenters clash over the ethics and environmental impact of large language models, their role in displacing or enabling programmers, and whether refusing to use AI is a meaningful form of protest. Others focus on practical concerns, questioning AI‑authored code quality, the stability of critical tools like editors and accounting software, and the tone of moral absolutism in critiques of AI.

Forking Vim Over AI Use

  • Several commenters clarify that the fork targets:
    • Alleged use of LLMs to generate core Vim patches, leading to more frequent breakage.
    • Marketing language around Vim9 as “AI ready.”
  • Some see forking 8.2 as reasonable for those wanting a “pre-AI” baseline or who dislike Vim9 script.
  • Others view it as an overreaction to a single contributor’s behavior or to minor AI-adjacent messaging.

LLMs, “Vibe Coding,” and Accessibility

  • One side argues “vibe coding” lowers the barrier to programming:
    • Helps burned-out or time-constrained professionals do side projects.
    • Lets non-programmer domain experts build tools without years of study.
    • Compared to historical shifts: assembly → compilers, low-level → high-level languages, DAWs in music.
  • Skeptics counter:
    • Programming has long been “accessible” to anyone motivated to learn.
    • LLM-heavy workflows may produce users who don’t truly learn to program.
    • Accessibility is limited by subscription cost and hardware centralization.

Quality and Reliability of AI-Generated Code

  • Mixed reports:
    • Some users say LLMs make them dramatically more productive, with projects they’d never complete otherwise.
    • Others report AI-generated changes causing regressions in long-stable tools (e.g., accounting software), raising worries about subtle correctness issues.
  • Many expect AI contributions to be ubiquitous in open source, making “untainted” software unrealistic.

Ethical, Environmental, and Labor Concerns

  • Supporters of the fork emphasize:
    • Rising energy use, hardware demand, and environmental impact of large models.
    • Links to exploitative mining conditions.
    • Fear of job displacement, especially in well-paid tech roles, and increased corporate gatekeeping.
  • Critics respond:
    • These costs are not unique to AI; similar critiques apply to most industrial or IT buildouts.
    • Whether the tradeoff is “worth it” depends on perceived benefits, which some see as substantial.

Community Tone, Gatekeeping, and Culture

  • Some object to framing AI as “obviously awful” and to moralizing that implies dissenters are pretending not to understand harms.
  • Others defend drawing hard moral lines regardless of utility.
  • There is frustration both with “AI evangelists” and with “holier-than-thou” anti-AI stances, plus concern over new users changing established communities.