New York

October 15–17, 2025

Berlin

November 3–4, 2025

London

June 2–3, 2026

Search results

Video
Scaling LinkedIn’s search infrastructure: Key decisions and engineering challenges
Explore the key engineering decisions and challenges behind scaling LinkedIn’s search infrastructure to support billions of daily queries.
Video
Compiler makeover: How technical debt created happier developers
Tired of endless patches and quick fixes to your developer tools? So were we. Learn how we at WSO2 turned our outdated Ballerina compiler into a driver of innovation, community growth, and happier developers.
Video
How to lead when you just don’t know the tech
How to lead successfully in unfamiliar technical domains by embracing uncertainty, empowering teams, and still delivering results – even when you’re not the expert.
Video
The lean architect: Experimenting your way to better decisions
Discover how hypothesis-driven architecture helps Staff+ engineers make better decisions early, reduce risk, and build resilient systems.
Video
Requirements [Citation needed]
A reflective talk on questioning “requirements,” exposing assumptions, and reducing costly missteps through honesty, clarity, and adaptability.
Video
Guiding mentees on the path to distinguished engineering
Discover how to mentor engineers toward Distinguished roles by developing technical excellence, strategic impact, and organizational influence.
Video
All of this has happened before
A mother-daughter conversation revealing how past tech trends mirror today’s AI hype and what we can learn.
Video
From friction to function: Strengthening the product-engineering alliance
Learn practical strategies to turn product-engineering friction into alignment through better prioritization, communication, and shared decision-making.
Video
Interviewing in the age of AI
Rethink technical interviews for an AI-enhanced world by focusing on timeless engineering skills and real-world problem solving.
Video
Leadership in AI-assisted engineering
Learn leadership strategies for AI-assisted engineering, focusing on adoption productivity, psychological safety, and responsible AI use.