A new paper explores the impact of AI on code review by analyzing practitioner discourse and GitHub activity. Researchers synthesized 3,100 documents from engineering blogs and Reddit threads to build a causal model of 26 constructs and 67 relationships. The model suggests that AI does not inherently change the sign of code review's effect on software; rather, the team's expertise and process structure determine the outcome. The study also proposes a scalable method for software engineering research using LLM-assisted theory building from grey literature. AI
IMPACT Provides a framework for understanding how AI agents affect software development workflows and code review processes.
RANK_REASON Academic paper analyzing practitioner discourse and proposing a new research method. [lever_c_demoted from research: ic=1 ai=1.0]
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