Virtual
In-person
AI benchmarks: What Jellyfish learned from analyzing 20 million PRs
AI is transforming software engineering, but results rarely match the hype. Why do some teams double productivity while others stall? Join Jellyfish researchers Nicholas Arcolano and Nik Albarran as they share insights from 20M pull requests across 200K developers, revealing what’s actually driving real AI impact at scale.
In this webinar Nicholas and Nik will discuss:
- What effective AI adoption actually looks like at scale, how to measure it, and what productivity gains you can realistically expect
- How AI is changing PR throughput, cycle time, and developer workflows, and why code architecture drives uneven results across teams
- What to do when AI adoption underdelivers, and how to move from experimentation to accountable outcomes in 2026
