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Coleman Parkes

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RESEARCH · 1 SOURCE · InfoQ AI, ML & Data Engineering

Survey: AI-generated code raises debugging time, failure rates and comprehension gaps

A Coleman Parkes survey of 300 senior engineering leaders commissioned by Undo found that AI coding agents speed code generation but shift the main bottleneck to debugging, comprehension, and maintenance — respondents report averaging 9.8 hours/week producing code versus 16.9 hours/week debugging, 35% of AI-generated code reaches production before teams fully understand it, and 80% say agents struggle with complex problems in mission‑critical C/C++ codebases.

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