Tag: essay
All the English-translated articles with the tag "essay".
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Books I Read in Q1 2026
Notes on the 10 books I read in Q1 2026: Stoner, The Obstacle Is the Way, Meditations, Source Code: My Beginnings, Bird That Drinks Blood, the second Krafton Way book, Lost and Founder, The Score Takes Care of Itself, Formula One, and Principles.
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Reading 'The Score Takes Care of Itself': On Leadership
Notes on Bill Walsh's leadership book 'The Score Takes Care of Itself.' The good-talent-bad-attitude equation, his declaration that teaching is the very definition of leadership, and the upward leadership chapter. The three-time Super Bowl winning coach's principles, read against my own failures.
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The Moment You Spin Up an AX Team, You've Already Lost
The paradox of setting up an AX task force. MIT NANDA found the successful 5% weren't led by central AI labs but by line managers on the ground. What I learned from going from consultant to CTO. The first principle of organizational AX isn't tools — it's people and the organization.
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When Package Install Becomes a Hack: Why Zero Dependency Matters
In March 2026, the litellm and axios supply-chain attacks hit back-to-back. I trace ten years of dependencies turning from convenience to trust to risk, and use code to show why zero-dependency design is survival, not minimalism.
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AI Native Engineer: Taste Built on Principles
Being good with AI tools doesn't make you an AI Native Engineer. Taste without principles is guesswork; principles without taste stay academic. After hitting the wall in iOS, getting blindsided as a Maker, and falling into the sorcerer's apprentice trap, I came to one conclusion: an AI-era engineer's identity isn't the toolkit, it's taste built on principles.
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Installing Claude Code Across Your Org Doesn't Make It AX
Rolling out an AI tool company-wide and going through an AX (AI Transformation) are two completely different things. Real AX starts when you redesign roles, KPIs, pipelines, and governance, not when you bolt AI onto a functional org.
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Code Review in the AI Era: How Should We Do It?
From the reality of code review during my CTO years to the current AI-era debate. Simon Willison, Kent Beck, Bryan Finster, StrongDM, Salesforce, latent.space — I lay out the spectrum around code review and ask what it is we should actually be reviewing.
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How the World's Largest AI Company Trains the Next Generation of Engineers: A Review of the Anthropic x CodePath Curriculum
I broke down the AI Engineering curriculum Anthropic and CodePath built together, week by week. This piece walks through why fundamentals and critical code reading still sit at the center even when AI writes the code, the AI Native Engineer profile that falls out of the curriculum, and what I see in my own mentoring.
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9 Survival Skills for the Agentic Engineering Era
Karpathy named the next thing after vibe coding 'agentic engineering.' This post unpacks the nine skills engineers need when the work is now telling agents what to do, with the practice routines that build each one.
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AI Is Only as Smart as You Are
Same AI, very different results. Stripe's data on 3,000 engineers, MIT's EEG study, and Stanford's sycophancy research point to one answer: AI is not just as smart as you, it is a mirror that tells you what you want to hear.