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Researchers have assembled a massive corpus of specification-driven development artifacts from GitHub to study how AI coding agents implement structured requirements.
A new study reveals that standard GPU kernel benchmarks fail to catch common transcription errors in AI-generated code, exposing weaknesses in current validation methods.
A systematic review identifies how data quality challenges in event log generation—the critical first step of process mining—can be tackled with engineering and domain knowledge techniques.