AI RESEARCH
Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
arXiv CS.AI
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ArXi:2603.25146v1 Announce Type: cross Context: The rapid adoption of AI-assisted code generation tools, such as large language models (LLMs), is transforming software development practices. While these tools promise significant productivity gains, concerns regarding the quality, reliability, and security of AI-generated code are increasingly reported in both academia and industry.