Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects
Summary
The paper examines Cursor AI's impact on open-source development, finding a short-term boost in velocity but a long-term rise in code complexity and static analysis warnings. It highlights quality assurance as a critical bottleneck and argues that AI-driven coding tools must treat quality as a first-class concern to prevent adverse outcomes.