Review is the control point for AI-authored code: teams set the sign of AI’s effect through reviewer expertise and process design, not the technology itself.
How does Software Change?
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abstract
Software evolves with changes to its codebase over time. Internally, software changes in response to decisions to include some code change into the codebase and discard others. Explaining the mechanism of software evolution, this paper presents a theory of software change. Our theory is grounded in multiple evidence sources (e.g., GitHub documentation and relevant scientific literature) relating to the pull-based development model in GitHub. The resulting theory explains the influence of project-related core concepts (e.g., people and governance) as well as its ecosystem on the decision of software change.
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2026 1verdicts
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3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse
Review is the control point for AI-authored code: teams set the sign of AI’s effect through reviewer expertise and process design, not the technology itself.