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“Us vs. Them” thinking
Why us vs. them thinking arises, how to spot it, and how - and why - to bridge the divide.
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Scaling AI for high-stakes, real-time payments
What does it take to run real-time AI in Stripe’s core payment flow? This is the story of scaling ML in a latency-critical system used by billions and built by multiple engineering orgs.
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From classroom to commit: How a one-year, industry-co-designed fellowship equips engineers to ship in the AI era
From classroom to commit: How a one-year, industry-co-designed fellowship equips engineers to ship in the AI era and the simple onboarding patterns partner teams use to turn early talent into durable performers.
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Coherent impact: The art of strategy
Explore how to turn short-term chaos into long-term impact through practical strategies for resilient, grounded engineering leadership.
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Scaling systems, scaling influence: Lessons from distributed architecture
Scaling systems and scaling influence share the same principles. Learn how distributed systems thinking can help you become a more effective technical leader at scale.
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In partnership with FastlyThe silent infrastructure crisis: AI bots and the future of web performance
A technical deep dive into AI bot traffic’s infrastructure, security, and performance impacts, backed by Fastly’s large-scale 2025 analysis.
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Anti-Misalignment: Nobody knows what “alignment” is
Most “alignment” efforts just react to misalignment. This talk reframes alignment as group flow, explores why misalignment is so viscerally felt, and shares practical tools to move from reactive coordination to proactive clarity and autonomy.
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You can big bang!
Explore when rewriting code from scratch actually works and how to plan a successful, high-impact system redesign.
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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.
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In partnership with AntithesisBuild 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.