Writing

I write up what I learn. Checklists, rules of thumb, mistakes I've seen. Mostly about getting AI-built and legacy code ready for real use.

Production readiness

Getting an AI-built app ready for production: a checklist

The things that actually break when a vibe-coded app meets real users (auth, secrets, data access, payments, scale), and how to fix them.

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Legacy

Rewrite or refactor? How I decide on an old system

How to decide between hardening, incremental modernization and a full rewrite, and how AI changes the math in 2026.

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Due diligence

What to actually check in a technical due diligence of an AI codebase

A practical checklist for founders, investors and acquirers evaluating software that was built fast with AI.

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