For seventy years the production of software was organized around one binding constraint: the human capacity to write correct code. Generative artificial intelligence is dissolving that constraint. This paper takes a single deflationary observation as its starting point — the production of code is ceasing to be the dominant problem in software-producing organizations — and argues that two structural consequences follow from it with a force approaching logical necessity. The first, Mixer Mode, concerns the human role: as agents absorb execution, the practitioner stops alternating among discrete specialized roles and begins to operate multiple axes of judgment continuously, the way a sound engineer holds open many channels of a mixing console at once. The second, Meta-Software, concerns the productive apparatus: when machines produce code faster than any human can inspect it, the organization must build software whose function is to observe, validate, contextualize and govern other software. The paper argues that the two pillars are inseparable — without the first there is no one to direct the second, and without the second the first is not operable — and frames the present moment through the historical transition of manufacturing from artisanal workshop to statistically controlled mass production. The contribution is conceptual and synthetic: the individual observations the two pillars rest on are increasingly visible in current professional discourse, but they circulate as disconnected fragments, and the work of the paper is to supply the causal structure that binds them into one. It is not an empirical validation; the paper closes by stating plainly what it does not prove and what evidence would refute it.
Ramon Labbé (Mon,) studied this question.