The Phoenix Architecture

Generative AI coding demands what we’ve always known: modularity, clear boundaries, disposable components. Principles that scaled human teams are now table stakes. Here, we make the implicit explicit.

His first post explains what he is going to cover, Regenerative Software:

For most of its history, code was expensive to produce and cheap to keep. We treated it like a durable asset: written carefully, maintained lovingly, upgraded cautiously. Whole professions, identities, and institutions grew around this assumption. Programmers were craftsmen. Codebases were cities. Refactoring was urban renewal.

Generative AI breaks this assumption at the root.

Code is no longer scarce. It is abundant, fast, and increasingly disposable. The limiting factor is no longer writing software, but understanding, evaluating, and governing it. The economics have inverted. The psychology hasn’t caught up.

This publication exists to explore what comes next.