In Part 2 of our collaborative development series, I explore how moving from monolithic markdown specs to a version-controlled context graph with Spool helps eliminate context drift, prevent spec rot, and ground AI coding agents in high-fidelity domain knowledge.
Spec-driven development with AI agents promises increased efficiency, but often introduces new forms of toil. Read on to discover how teams are navigating the shift, the hidden costs of context engineering, and what we can do to build more collaborative AI-native development workflows.
Spec-Driven Development (SDD) bridges the gap between human intent and machine execution. However, scaling it exposes significant gaps in context isolation, branching workflows, and upstream synchronization.
A technical lead shares hard-won lessons from rolling out AI coding agents across enterprise engineering teams.