DORA Insights: Adoption

AI Metrics Productivity Adoption Culture

Finding balance in the era of tokenmaxxing

Jun 2, 2026
A new trend has emerged in software development: ’tokenmaxxing’, where organizations track and reward raw AI token consumption via internal leaderboards to spur adoption. While this gamification can nudge AI-hesitant developers to experiment, treating token spend as a performance indicator is a dangerous trap. Read more

AI Adoption Culture Productivity

Balancing AI tensions: Moving from AI adoption to effective SDLC use

Mar 10, 2026
While AI accelerates initial code generation and reduces start-up friction, it introduces hidden taxes like heavy verification overhead, skill degradation, and integration challenges. Leaders must adapt holistic metrics, review processes, and team training to ensure sustainable success. Read more

AI Metrics Culture Adoption

Helping developers adopt generative AI: Four practical strategies for organizations

Jan 31, 2025
DORA research identifies four practical strategies to help organizations scale generative AI adoption from isolated experiments to widespread use. Key recommendations include increasing transparency about AI plans, addressing developer concerns, providing dedicated learning time, and establishing clear usage policies. Read more

AI Metrics Trust Productivity Adoption Security

Fostering developers' trust in generative artificial intelligence

Sep 13, 2024
Research shows that developers who trust generative AI tools are more productive and use them more frequently. We outline five strategies to foster this trust, including establishing clear policies, reinforcing feedback loops like code review, and encouraging experimentation without mandates. Read more