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#ai-code-generation News & Analysis

2 articles tagged with #ai-code-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBearisharXiv – CS AI · Apr 107/10
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Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects

Researchers evaluated Cursor, an AI-powered IDE, on its ability to generate large-scale software projects and found it achieves 91% functional correctness but produces significant design issues including code duplication, complexity violations, and framework best-practice breaches that threaten long-term maintainability.

AINeutralarXiv – CS AI · Mar 276/10
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Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence

A systematic literature review of 24 studies reveals that AI-generated code quality depends on multiple factors including prompt design, task specification, and developer expertise. The research shows variable outcomes for code correctness, security, and maintainability, indicating that AI-assisted development requires careful human oversight and validation.