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A quick follow up to hiring in 2026
Challenging conventional wisdom in AI and software engineering. Deep explanations, mental models, and practical heresies for building better systems with less bullshit.
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A quick follow up to hiring in 2026

Eng hiring in 2026 still runs on ATS filters and trivia theater. What I'll hire for instead: philosophies that survive hard problems, proven in a…

It reviews its own security, checks its own quality, and writes its own docs — so I can launch a dozen of them and step away. I benchmarked it…

I swapped models three times to fix one flaky test. None of it helped. Every reliability lever in AI-assisted development lives in the layers you…

Since the last release I wrote up, agentic-os got about 47% smaller, grew a set of hooks that fight its own context drift, turned them on by…

A government just switched off a frontier AI model overnight. Why security — not velocity — is now your top engineering metric.

My four LLM reviewer agents kept re-discovering the same findings, run after run. The fix: tier the checks, ledger the noise, and promote what…

AI made every engineer faster and your team slower to ship. The velocity is on the dashboard. The collaboration tax that pays for it isn't, and I…

You're using maybe a third of what `.claude/` can do. Here's the complete modern anatomy — organized by directory and scope precedence — and the…

Senior engineers have been quietly building AI scaffolding that juniors never get access to. I just open-sourced mine.