SDD Beyond the Prototype

Spec-driven development with AI works surprisingly well in isolation. The moment you bring it into a team, the question changes completely: not “does this work?” but “how does this hold up with five engineers on a shared repository over the next six months?”

Most guides stop at what a good spec looks like. This series starts where those guides end — at team scale, where specs rot, contracts diverge, and nobody notices until an integration breaks.

SDD Beyond the Prototype — where spec-driven development breaks at team scale

SDD Beyond the Prototype, Part 1: Where Spec-Driven Development Breaks Once More Than One Person Is Writing

Spec-driven development with AI works surprisingly well in isolation. You write a concise spec, let an agent generate the implementation, and get clean results on the first run. No endless prompt tweaking required. The illusion breaks the moment you bring this into a team. The question shifts immediately from “does this work?” to: “How does this hold up with five engineers on a shared repository over the next six months?” ...