AI-agent-led and multi-agent code review correlates with faster decisions in some adoption patterns, while heavy single-LLM adoption correlates with more review smells and no efficiency gain.
The impact of human discussions on just-in-time quality assurance: An empirical study on openstack and eclipse,
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From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality
AI-agent-led and multi-agent code review correlates with faster decisions in some adoption patterns, while heavy single-LLM adoption correlates with more review smells and no efficiency gain.