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A Study of the Reliability of Agentic AI-Generated Programs

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Agentic-AI based software development offers the promise of faster completion of the software, greater programmer efficiency, and more reliable code. The question is how can we verify these claims in an objective way? In this project, we attempted to answer this question based on three practices. First, we applied a typical best-practices agentic AI workflow for software development. Second, our target programs were ten well-known, release-quality human-written Linux utility programs so that we could compare the AI-generated code against a concrete ground truth. Third, we based our measure of

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Evidence & attribution

First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.