Beyond the hype: Bridging the "AI productivity paradox" with platform engineering

Engineering teams are adopting AI at record speed, with 63% and growing of developers using coding assistants. Yet research from Harvard and Jellyfish reveals a paradox: while individual PR throughput is doubling, many organizations see no increase in business-level features shipped. The reason is that coding is not the bottleneck; coordination, review, and deployment are.

In this session, Krishna Kannan, VP of Product at Jellyfish, discusses the evolution of platform engineering into a strategic "Value Ops" layer. Using real-world signals from 100,000+ engineers, the session explores:

• The paradox: Why local efficiency gains are being absorbed by organizational friction.
• Golden paths for AI: Moving from "providing a seat" to automating the "Day 2" AI lifecycle, including reviews, security, and agentic workflows.
• The metrics shift: How to move beyond DORA to track AI’s true ROI using the AI Impact Framework.