DORA Insights: Metrics

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

Quick Check updates

Apr 22, 2026
The DORA Quick Check was recently updated to include deployment rework rate and the latest industry benchmarks. Measure your team’s software delivery performance and compare it to the rest of the industry by responding to multiple-choice questions. Read more

A history of DORA’s software delivery metrics

Jan 2, 2026
DORA’s software delivery performance metrics have evolved over time to reflect the changing technology landscape. Learn about the transition from the four keys to the current five-metric model. 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

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