Tag: AI
All the English-translated articles with the tag "AI".
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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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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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Between a Working Feature and a Trustworthy Product: Building ToC Recognition
A Do Work → Good → Great engineering journey building a book table-of-contents (ToC) recognition feature with Qwen 3.5 Flash. From a $2,000 pre-collection failure, through a sync API → async job system → SSE real-time streaming evolution. When the model hands you 80, the remaining 20 is engineering.
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What Should Junior Developers Learn in the AI Era?
What should junior developers learn in the AI era? The hiring market has frozen and companies only want mid-level engineers who can ship on day one. AI is a double-edged sword for juniors. Hand everything to an agent like Claude Code and you lose the chance to learn. Literacy (reading and writing), real projects with even ten users, coding tests trained as problem-solving rather than memorization. A survival guide for junior developers, drawn from my mentoring experience.