New York

October 15–17, 2025

Berlin

November 3–4, 2025

London

June 2–3, 2026

Search results

Video
Leading a team through 0-1 product development
In this talk, we will discuss tips for leading an engineering team through developing a new product fast, especially when there are a lot of unknowns.
Video
Build bravely: Delivering risky projects
Learn how clear specifications and property-based testing help engineers take bolder roadmap risks, ship faster, and collaborate safely with LLMs.
Video
Lessons from the other side: What your VP is actually thinking
Learn how to build a partnership with your VP by sharing unfiltered reality and gaining the context you need.
Video
The altitude slider: Knowing when to dive into code vs. drive the strategy
Practical cues and rituals that help senior ICs oscillate between architectural vision and hands-on execution.
Video
Are we arguing or are we architecting?
Guiding technology decisions at scale is daunting for senior ICs. Spirited debates often feel like conflict, but they're crucial. Learn to turn these clashes into collaborative, well-informed decisions. Are we arguing or architecting?
Video
Engineering excellence: New product development in medical devices
Lessons from leading a seven-year development of a NextGen SPECT/CT scanner, focusing on innovation, compliance, and team leadership.
Video
Reimagining the image pipeline at Squarespace
This talk explores the evolution of Squarespace's image pipeline—why change was needed, how the architecture adapted for scale and flexibility, and the unique challenges faced along the way.
Video
Un-becoming the bottleneck
The biggest obstacle to team growth is often Staff+ engineers themselves. Breaking this pattern requires more than just "org-wide impact" it calls for deep, deliberate focus on growing 2-3 key engineers around you.
Video
Building Figma Draw
Explore how a small, scrappy team at Figma turned a big product vision into a major launch through smart execution.
Video
AI won’t fix developer productivity (unless you fix context first)
Discover how context engineering unlocks real developer productivity, making AI tools effective by connecting decisions, history, and code.