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The introduction of AI means there are more entities involved in the creation of code than ever before. While code volume has largely increased as a result, we quickly learned that writing code was never the bottleneck to improved delivery, and the speed of AI is just creating more risks and hurdles further along the release pipeline.
The 2025 DORA report highlighted internal developer platforms as the best foundation for effective AI adoption, allowing for the creation of guardrails and gates that suit your organization’s risk profile. Further, a high-quality platform provides rapid feedback and amplifies the effects of AI adoption on organizational performance.
Watch this expert panel — with DORA lead Nathen Harvey, Thoughtworks CTO Rachel Laycock, and Harness Field CTO Martin Reynolds — to learn how to:
- Establish a platform that becomes the governance layer for scalable, cross-organizational data integration
- Build ‘Golden Paths’ to encourage AI-powered experimentation and ease developer cognitive load
- Detect failures faster and reduce the time to remediation, while also increasing code quality and reliability
- To understand AI usage, ownership, and success cases
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