London

June 2–3, 2026

New York

September 15–16, 2026

Berlin

November 9–10, 2026

Why AI necessitates a platform model

In order to get the most out of your AI investment, platform engineering is needed to tackle cross-organizational, enterprise complexity

Martin Reynolds, Jennifer Riggins and Nathen Harvey

Date & time

17:00

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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.

Join this expert panel — with DORA lead Nathen Harvey, Thoughtworks CTO Rachel Laycock, and Harness Field CTO Martin Reynolds — to discuss 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

panelists:

Martin Reynolds LeadDev

Martin Reynolds

Field CTO
Harness
Nathen Harvey LeadDev

Nathen Harvey

Developer Relations Engineer
Google

Moderator:

Jennifer Riggins

Freelance Tech Journalist