Blog
Notes from the room.
Short essays on the technology, process, and strategy problems we keep running into. No clickbait, no AI slop.
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strategy
How I Recruit Staff-Level AI Talent
Najat Andreozzi's exact process for sourcing Staff and Principal AI Engineers — from AI-assisted market mapping to LinkedIn Recruiter strategy to validating depth through GitHub, arXiv, and community signals.
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technology
Democratizing AI: Microsoft's New Frontier Echoes Its PC Revolution
Microsoft's Ignite 2025 announcements — Work IQ, Fabric IQ, Foundry IQ, and 11,000+ AI models — reveal a strategy that mirrors how the company once brought computing to every desk.
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technology
The Family Oracle: Can AI Preserve Our Most Precious Legacy?
A conversation with my 9-year-old daughter sparked a bigger question: could an AI platform capture generational wisdom and deliver it precisely when future family members need it most?
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strategy
Beyond the AI Workforce Debate: The Real Question We Should Ask
The question isn't which workers AI will hurt — junior or senior. It's which organizations will adapt fastest. A 30% efficiency gain misread as a headcount reduction is a recipe for market irrelevance.
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technology
Solving Complex Problems: The Art of Prompt Engineering
Prompt Engineering is the art of clearly asking an AI to solve a problem — and the same mental model that works for debugging code also works for parenting, friendships, and electronics.
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technology
Coding with AI: A CTO's View
I wrote my first assembly code at 11. Four decades later, I see AI not as a disruptive force but as the natural next step in a long evolution of developer tools — and the same skills that made great developers then will define success now.
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technology
Highlights from IG3 West 2019
Notes from the IG3 West cybersecurity conference at Pelican Hill — vendor reviews, panel discussions, and observations on deception platforms, threat classification, and the real cost of opening your data endpoint to the public.
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technology
Elastic Search: An Often Underutilized Asset
Most teams treat Elasticsearch as a search engine and stop there. Used as a flattened read index alongside Kibana, it can serve as a cost-effective data warehouse — no data science team required.
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process
Agile Waterfall
Agile and Waterfall aren't opposites — they're complements. The real question isn't which methodology to follow, but whether your architecture is agile enough to support rapid pivots regardless of which one you choose.
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