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Retrieval harm can significantly impact performance, and simple baselines often outperform complex models in Active RAG systems.
Co-authorship with humans can significantly enhance merge rates for certain AI coding agents, but this effect vanishes when accounting for repository selection and PR structure.
Reviewers approve AI-generated code more often while actually engaging less, revealing a troubling trend of habituation that could compromise code quality.
