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Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap

A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the primary bottleneck to debugging, code comprehension, and…

By Sergio De SimoneInfoQ - AI/ML/Data
Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap

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Originally published by InfoQ - AI/ML/Data on Oct 7, 2026.

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