-
Game time: A playbook to (unsuccessfully) 10x in a week and (successfully) 10x in a year
A candid scaling story about why rushed 10x efforts fail, and how disciplined metrics, culture, and architecture win over time.
-
Rethinking how distributed teams deliver complex tech
Practical patterns for delivering complex work across distributed teams while improving inclusion, decision quality, and team autonomy.
-
Planning next moves: Improving performance when half your stack is someone else’s problem
Learn how to measure latency, set realistic goals, and improve performance even when critical parts of your system are out of your control.
-
Four dimensions of burnout: An anti-burnout framework for the AI era
A practical framework to help engineering leaders recognize burnout early, rebalance demands, and recover while staying effective and healthy.
-
Guardrails, not gates: Scaling juniors in the AI era
How automated guardrails let junior engineers ship faster with AI, while protecting quality, safety, and senior reviewer sanity.
-
AI killed the coding interviews. Here’s what Meta built instead
How Meta replaced traditional coding interviews with AI-native hiring that measures adaptability, communication, and real-world engineering judgment.
-
Engineering leadership in 2026
Explore what 600+ engineering leaders revealed about how their roles, priorities, and challenges are changing in 2026.
-
We doubled engineering productivity at eBay, but couldn’t change culture
Learn how to use stories to improve your influence as a leader.
-
Shipping secure, reliable and high performance AI agents
A hands-on engineering guide to building AI agents that stay secure, reliable, and fast in real, high-stakes production systems.
-
One silver bullet: Adaptability
Hire for adaptability over pedigree, and build teams that can learn, grow, and deliver in a changing industry.