Essays on AI-assisted development governance, engineering systems, product strategy, and digital transformation.
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AI Governance
AI coding tools write at machine speed. Humans review at human speed. That gap is widening every sprint -- and most engineering teams haven't noticed yet.
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The problem with AI coding agents isn't intelligence -- it's memory. Every session starts cold. Mneme HQ is my answer to architectural drift in long-running AI-assisted projects.
AI coding tools write at machine speed. Humans review at human speed. That gap is widening every sprint -- and most engineering teams haven't noticed yet.
How Mneme HQ stores decisions as version-controlled YAML, injects them into AI context at generation time, and enforces them before code reaches review -- with a walkthrough of each layer.
Post-generation review is the wrong place to catch architectural violations. Governance must move to generation time -- enforcing constraints before AI-generated code reaches human review.
Prompting an AI to follow your architecture is not the same as enforcing it. One is a request. The other is a constraint. The difference matters more than most engineering teams have reckoned with.
Open source isn't just a distribution strategy. For developer tools, it's the fastest form of market validation available -- and the only one that produces the kind of trust that enterprise adoption requires.
Essays cross-posted to LinkedIn with discussion. New pieces published weekly.
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