DORA Metrics and an AI Productivity Paradox: Using DORA Metrics to Ensure AI Helps, Not Hinders, Software Delivery

AI has promised faster deployments, smarter automation, and reduced developer toil, but the 2024 DORA Report reveals a slightly different story. Surprisingly to many, the data shows signs of decreased throughput, reduced system stability, and higher cognitive load for teams with AI-enabled delivery pipelines. Rather than accelerating innovation, AI can become yet another layer of complexity in an already strained process.

This live event with DORA and Datadog will explore how to make sense of and use data to assess whether AI is truly adding value to your delivery process. Supported by insights and practical examples, you’ll learn how to measure what matters and make smarter decisions about where, when, how, and maybe even if you should apply AI in your software workflows.

Join us to learn:

• How the 2024 DORA Report exposes a productivity paradox in AI-assisted software delivery
• The surprising ways poorly integrated AI can reduce throughput and system stability
• How DORA metrics can reveal when AI is hurting more than helping your pipeline
• Practical techniques for monitoring and improve AI’s impact on software delivery

Nathen Harvey

DORA Lead, Google Cloud

Guillaume Turbat

Product Manager - CI/CD visibility, DORA metrics, Datadog