AI Education Learning AI as a tutor Dec 12, 2025 While critics worry students use AI to cheat, our research reveals something different: students are using AI to learn. At UC Berkeley, many students in technical fields are using AI to teach them rather than do for them: AI was a supplement to the role of professor, TA, or tutor. 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
Metrics AI Choosing measurement frameworks to fit your organizational goals Aug 6, 2025 Measuring software development effectiveness requires choosing the right framework to match your organizational goals. This guide explores popular frameworks like SPACE, DevEx, and DORA, offering practical steps for selecting metrics and adapting your measurement strategy for the AI era. 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
AI Metrics Productivity How gen AI affects the value of development work Dec 10, 2024 DORA research reveals a paradox where developers using generative AI report higher satisfaction despite spending less time on work they consider valuable. We explore five dimensions of value—utilitarian, reputational, economic, intrinsic, and hedonistic—to understand how AI is reshaping the meaning of development work. 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
