University of Waterloo Benchmark Reveals Leading AI Coding Tools Fail to Provide Accurate Structured Outputs 25% of the Time

University of Waterloo research finds top AI models fail 1 in 4 times when generating structured code, highlighting the need for human oversight in development.

By: AXL Media

Published: Mar 17, 2026, 8:44 AM EDT

Source: Information for this report was sourced from University of Waterloo

University of Waterloo Benchmark Reveals Leading AI Coding Tools Fail to Provide Accurate Structured Outputs 25% of the Time - article image
University of Waterloo Benchmark Reveals Leading AI Coding Tools Fail to Provide Accurate Structured Outputs 25% of the Time - article image

HEADLINE

University of Waterloo Benchmark Reveals Leading AI Coding Tools Fail to Provide Accurate Structured Outputs 25% of the Time

SUMMARY

A comprehensive benchmarking study from the University of Waterloo has found that top-tier AI models struggle to maintain accuracy when forced into structured formats like JSON or XML. Evaluating 11 different models across various software development tasks, researchers discovered that even the most advanced systems achieve only a 75% accuracy rate, particularly faltering in tasks involving image, video, and web generation.

CONTENT

The Growing Pains of Structured AI Outputs

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