AI benchmarks: What Jellyfish learned from analyzing 20 million PRs

**Please register here

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

After a 30-minute talk there will be a 15-minute Q&A, for which we encourage you to submit questions in advance.
A webinar recording and related materials will be shared with all attendees after the event.

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Speakers:
Nicholas Arcolano, Ph.D - Head of Research @ Jellyfish
Nicholas is Head of Research at Jellyfish, where he leads Jellyfish Research, a multidisciplinary department that focuses on new product concepts, advanced ML and AI algorithms, and analytics and data science support across the company.

Nikolas Albarran - AI Product Lead @ Jellyfish
Nik Albarran is AI Product Lead at Jellyfish, focused on helping software teams navigate AI transformation through research and product development.