Enterprise architect building teams and systems that scale. I write about architecture, engineering leadership, AI/agentic systems, and what my homelab teaches me about enterprise-grade technology.
Currently exploring the path from architect to director — sharing the mental models, trade-offs, and lessons learned along the way.
Featured
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The Verifiability Ladder: How AI Learned to Code, Why Developers Paid the Price, and Where the Economy Breaks
AI didn't target developers because they were easy to replace. It targeted code because compilers give the cleanest feedback signal for reinforcement learning. Developers were collateral damage of a training methodology — and they're just the first rung on a ladder that climbs from verifiable to unverifiable work.
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AI Can't Replace What It Can't See
Companies are replacing senior talent with juniors and AI tools. But the most critical knowledge in any organization — the kind that drives real decisions — is invisible to AI entirely.