Skill Degradation: An Empirical Analysis of 400+ AI‑Generated Security Fixes
summary
An experiment analyzes 420 submissions from a secure‑coding contest and finds AI patches are faster but shallower: 420 submissions, AI fixes 3–4× larger diffs, max commit size 9× larger, lines per commit 5×, and examples show AI pushes like 591 lines in ~50s (≈10 lines/sec) while humans make targeted 10‑line fixes. Many AI commits add unrelated hardening, comments or reformatting and fail to address the integer‑overflow vulnerability; authors recommend build‑time heuristics to flag large, ultra‑fast commits as unaudited AI output.
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chapters (7)
- 0:00The impact of AI on learning
- 6:11Experiment setup and methodology
- 9:20Analyzing AI vs human code
- 14:46Cognitive limits in code review
- 17:34Case study: Integer overflow
- 31:11Risks of AI reliance
- 35:53Recommendations and resources
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