Beyond Adoption: Measuring AI's Real Effect on Developer Productivity

This research investigates whether AI coding tools actually deliver promised productivity gains by analyzing objective metrics like commit frequency and code churn across open-source GitHub repositories. As organizations rapidly adopt these tools without clear evidence of impact, quantifying their genuine effects is essential for understanding return on investment and making informed AI adoption decisions.