DevIntent: How Much Does LLM-Generated Code Violate Developer Intent?
Code generated by LLMs can violate a developer's implicit intentions when given an ambiguous prompt, yet standard benchmarks measure only whether code passes its stated test. We introduce the Intent Violation Rate (IVR) and a 49-problem pilot benchmark derived from HumanEval+. Each problem strips implicit constraints from a clarified prompt and encodes them as hidden constraint tests. IVR measures the fraction of LLM-generated solutions that pass the stated (visible) tests yet fail hidden constraint tests that capture unstated intent. Evaluating Claude Sonnet 4.6 and OpenAI GPT 4.1, we find both pass over 92\% of stated tests yet violate intent in over half of problems (54.5\% and 63.5\%)...
| Authors | Susana Haing, Natan Vidra, Spurthi Setty |
|---|---|
| Primary category | cs.SE |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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