Mentorship Still Ships: Leading Through the AI Productivity Trap with Andrew Wang
Автор: Ctrl+Alt+Discuss
Загружено: 2026-02-09
Просмотров: 364
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AI didn’t remove the need for context. It raised the cost of not having it.
Andrew Wang’s path puts that in perspective: bootcamp → web studio → Harvard (for the network and resources, not the classes) → ADT → Amazon → back to a Series B startup.
The throughline wasn’t “learn more code.” It was learning how to gain trust, ask the right questions, and move work across the line without losing the plot.
A few steady takeaways:
Use AI like a junior engineer you’re reviewing: break work into clear chunks, then read every diff like it’s your name on the PR.
Juniors don’t need fewer questions. They need better questions, faster. That’s the quickest path to independence.
Psychological safety isn’t soft. Teams ship more when people can say, “I’m stuck” before a deadline breaks them.
If tech leadership keeps treating AI like a quota multiplier, burnout wins. If leaders treat it like leverage for focus, learning, and better decisions, everybody wins.
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