{
  "id": 18476,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1784973",
  "title": "What really happens when a dev vibes with the code? An empirical study on LLM behavioral divergence in response to expressive code comments",
  "summary": "IntroductionWe investigate how expressive inline code comments written in various developer styles, functional to progressively poetic, philosophical, and misleading, affect large language model (LLM) behavior during code optimization.MethodsIn this pilot study, we used a controlledmerge sort implementation across five stylistic variants and evaluated GPT-5 and Claude Opus 4.1 under standardized console prompts, isolating the effect of embedded comment semiotic variation. Seven expert developers",
  "authors": "Angela N. Johnson",
  "category": "research",
  "topics": "finance-investment",
  "orgs": "openai,anthropic",
  "regions": null,
  "published_at": "2026-08-11T00:00:00.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/18476",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1784973",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}