London

June 28–29, 2027

New York

September 15–16, 2026

Berlin

November 9–10, 2026

Search results

Video
Crowdsourcing platform engineering
How Cash App built a culture of shared ownership in platform engineering–where empathy, collaboration, and visibility drive developer experience and delivery velocity.
Video
Inclusion: What works, and why I’m still talking about it
Explore practical ways to make inclusion part of everyday teamwork, from communication styles to better collaboration and decision-making.
Video
The state of AI in software development: Insights across 400+ organizations
Learn where AI actually boosts developer productivity, how leading teams measure impact, and practical ways to separate measurable gains from hype.
Video
Your agents lack context: Here’s how to fix “You’re absolutely right!”
Learn how to build the context layer AI agents need to produce organization-aware, permission-safe, genuinely useful code.
Video
Production AI agents: The gap between promise and reality
Learn what it really takes to move AI agents from impressive demos to safe, reliable production systems.
Video
Mentoring that actually changes careers
A practical, human take on mentoring that actually helps people grow, by sharing real experience and honest guidance.
Video
Quantifying technical debt to modernise critical systems
A data-driven approach to exposing hidden technical debt and modernizing critical legacy systems without risky rewrites.
Video
Escaping the feature factory: Building strategic team identity
How to turn a ticket-driven engineering team into a strategic partner by shifting identity, metrics, and mindset toward outcomes.
Video
The mechanics of scaling: Why delivery slows as you grow, and what to do about it
In this talk, I will show how rising incidents, fragile systems, slower delivery and constant firefighting are often signs of hitting systemic limits rather than execution failure.
Video
Finding the 80/20: Lessons from delivering our first LLM feature
How to choose what actually matters when shipping your first LLM feature, balancing evaluation, trust, and delivery without overengineering.