DORA’s 2025 research on the impact of AI
Nathen Harvey leads research at DORA, focused on how teams measure and improve software delivery. In today’s episode of Engineering Enablement, Nathen sits down with host Laura Tacho to explore how AI is changing the way teams think about productivity, quality, and performance.
Together, they examine findings from the 2025 DORA research on AI-assisted software development and DX’s Q4 AI Impact report, comparing where the data aligns and where important gaps emerge. They discuss why relying on traditional delivery metrics can give leaders a false sense of confidence and why AI acts as an amplifier, accelerating healthy systems while intensifying existing friction and failure.
The conversation focuses on how AI is reshaping engineering systems themselves. Rather than treating AI as a standalone tool, they explore how it changes workflows, feedback loops, team dynamics, and organizational decision-making, and why leaders need better system-level visibility to understand its real impact.
Where to find Nathen Harvey:
• LinkedIn: https://www.linkedin.com/in/nathen
Where to find Laura Tacho:
• LinkedIn: https://www.linkedin.com/in/lauratacho/
• Website: https://lauratacho.com/
• Laura’s course (Measuring Engineering Performance and AI Impact): https://lauratacho.com/developer-productivity-metrics-course
In this episode, we cover:
(00:00) Intro
(00:55) Why the four key DORA metrics aren’t enough to measure AI impact
(03:44) The shift from four to five DORA metrics and why leaders need more than dashboards
(06:20) The one-sentence takeaway from the 2025 DORA report
(07:38) How AI amplifies both strengths and bottlenecks inside engineering systems
(08:58) What DX data reveals about how junior and senior engineers use AI differently
(10:33) The DORA AI Capabilities Model and why AI success depends on how it’s used
(18:24) How a clear and communicated AI stance improves adoption and reduces friction
(23:02) Why talking to your teams still matters
