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AI Productivity Impact in Companies
Comparison of expected vs. actual productivity gains from AI integration.
Primary Sources
The 2% of Engineers Winning the AI Era (Ex-Meta L8)
Kun Chen reached E7 at Meta and Partner level at Microsoft faster than almost anyone his peers knew — and then walked away from management to go back to writing code. Now a solo builder, he breaks down the monthly growth test that told him when to quit, why learning to lose control as a manager made him a better AI orchestrator, and why true vibe coders will always hit a ceiling without real engineering experience underneath them.Guest Links:https://linktr.ee/kunchenguidhttps://www.youtube.com/@kunchenguidhttps://kunchenguid.substack.comhttps://x.com/kunchenguidPrevious EpisodesWhat Big Tech Still Gets WRONG about Great Programmers | Casey MuratoriWhy People Are INVISIBLE To Leaders And How To Fix It | Ethan EvansWhy Even The Best Engineers Are Afraid Of What’s Coming | Philip Su$4 Billion Founder: Should You Leave Big Tech or Ride It Out?The Career Decisions That Quietly Limit Your Future | Christopher BrownTech Interview Expert: AI Isn’t Killing Careers, But THIS isOpenAI and Meta E…
Meta Laid Off 8,000 And Launched AI - Why Jobs Need Different Skills
Meta needs different skills, AI focused skills. They need people who know how to work with AI. Engineers and Product Managers are replaced with AI Engineers and AI Product Managers.
Former Microsoft Engineer Shares the Question He Asked Before Quitting ...
Kun Chen, an ex-Microsoft and Meta engineer, said that he asked himself a question to determine whether he was still growing in his role.
The Simple Monthly Test One Engineer Used to Know When It Was Time to Quit
But for Kun Chen, a software engineer who has navigated stints at Microsoft, Meta, and Atlassian, the decision came down to a single, deceptively simple question.
