Can LLMs Generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
AI Engineer3517 字 (约 15 分钟)
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While LLMs achieve high functional pass rates (e.g., Gemini 3.1 Pro at 84.17%), Sonar’s evaluation of 4,444 Java tasks reveals critical maintainability and security flaws—614 bugs per million lines, verbose code, and high cyclomatic complexity.
入选理由：Gemini 3.1 Pro在SWE Bench测试中功能通过率达84.17%，但生成代码冗长（307,000行）且复杂度高（圈复杂度234）。
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