Abstract
AI adoption in software development is nearly universal, yet the outcomes for teams are highly variable. Why do some organizations see massive productivity gains while others see their delivery stability crash? DORA’s latest research provides a key insight: AI acts as an amplifier. It magnifies the strengths of high-performing orgs—and scales the dysfunctions of struggling ones.
Successfully leveraging AI is not a tool problem; it is a systems problem. In this talk, I will explore the DORA AI Capabilities Model which draws on stories from 100+ hours of interviews and data from 5,000 professionals. The model provides a data-backed framework identifying the seven technical and cultural capabilities required to unlock AI's potential without breaking production.
I will dive into the counter-intuitive findings from DORA’s research, such as why 'user centricity' is a stronger predictor of AI success than 'prompt engineering,' and why 'working in small batches' is your best defense against AI-generated instability. I will examine distinct team profiles identified in the research, from 'Harmonious High-Achievers' to those caught in a 'Legacy Bottleneck,’ providing a diagnostic framework to assess your organization's readiness and provide a roadmap to ensure your AI strategy amplifies your brilliance, not your bottlenecks.
Takeaways:
- Diagnose your organization's AI maturity beyond simple adoption metrics
- Identify the specific 'dysfunctions' in your org that AI is likely to worsen.
- Apply the 7-part DORA AI Capabilities Model to build a balanced investment strategy.
Interview:
What is your session about, and why is it important for senior software developers?
My session covers the capabilities and conditions that amplify the impact of AI adoption on outcomes like individual effectiveness, code quality, and team performance.
Why is it critical for software leaders to focus on this topic right now, as we head into 2026?
DORA's research shows that AI acts as an amplifier in the software development lifecycle, this session will help senior software developers identify the next area for their team to improve.
What are the common challenges developers and architects face in this area?
Many team focus too much on using AI for generating code and tend to ignore other parts of the software delivery system. Increasing the amount of code without also scaling other areas, like feedback and approvals, can make matters worse.
What's one thing you hope attendees will implement immediately after your talk?
Attendees will be able to use the DORA AI Capabilities Model to identify the capabilities their team should improve.
What makes QCon stand out as a conference for senior software professionals?
QCon provides real-world insights into the practices and technologies that help teams get the most out of their investments in technology and technologists.
Speaker
Nathen Harvey
Lead of DORA and Product Manager @Google Cloud
Nathen Harvey leads Google Cloud’s DORA team, using its research to help organizations improve software delivery speed, stability, and efficiency. He focuses on enhancing developer experience and is dedicated to fostering technical communities like the DORA Community, which provides opportunities to learn and collaborate. He has co-authored several influential DORA reports and contributed to the O'Reilly book, "97 Things Every Cloud Engineer Should Know."
Find Nathen Harvey at:
Date
Wednesday Mar 18 / 10:35AM GMT ( 50 minutes )
Location
Churchill (Ground Fl.)
