AI RESEARCH
AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development
arXiv CS.AI
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ArXi:2605.02741v1 Announce Type: cross The promise of Large Language Models in automated software engineering is often measured by functional correctness, overlooking the critical issue of long term maintainability. This paper presents a systematic audit of technical debt in AI-generated software, revealing that AI does not eliminate flaws but rather