Claude Code and Cursor are associated with higher PR throughput, but org size and company stage play a big role.

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Software Engineering Research

Analysis of Q4 2025 data from 400+ companies reveals that AI-native IDEs like Cursor and Claude Code correlate with higher pull request throughput compared to other AI coding assistants. However, organizational factors significantly influence these metrics: smaller companies (under 500 engineers) show higher PR merge rates regardless of tool choice, while enterprise adoption patterns differ—Windsurf gains traction in large organizations while Cursor dominates smaller teams. The data suggests that organizational context, company size, and existing processes play crucial roles in AI tool effectiveness, making comprehensive longitudinal measurement more valuable than single metrics for evaluating AI coding assistant impact.

Do newer AI-native IDEs outperform other AI coding assistants?