DORA Insights: Culture

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 Security

Understanding builder intent in the AI era

Oct 17, 2025
As AI decouples roles from tasks, traditional developer personas are becoming less relevant. This article introduces the “Builder Mindset” framework, identifying four core intents—Founder, Optimizer, Accelerator, and Learner—to help teams design better AI-assisted experiences. Read more

AI Metrics Trust Security Culture

Concerns beyond the accuracy of AI output

Jun 30, 2025
While accuracy remains a key challenge, developers have broader concerns about generative AI, including data privacy, deskilling, and job displacement. This post explores these anxieties and offers five strategies to address them, such as clarifying acceptable use policies and emphasizing AI as a learning opportunity. 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