One Source of Truth: How Spec-Driven Development Keeps Cross-Team Work Aligned

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Speed exposes coordination problems that were already there. We tested AI-assisted development on a real production client project, expecting tooling to be the main challenge. It wasn’t. Once code started moving faster than before, business analysts, architects, developers, and designers all needed the same thing: a reliable, shared answer to one question. What exactly are we building, and whose version of that decision is current? The problem wasn’t the AI tools themselves. It was the lack of a single agreed source of truth. Product information was spread across documents, acceptance criteria, vision, goals, roadmap, code, and tests. Every role on the team read a slightly different version. In this article, I’ll break down what we built to fix that. It’s a single source of truth that keeps every role and every team working from the same version of reality — and I’ll walk through what it’s already delivered, and where it still falls short. That matters for reasons that go beyond code quality. When roles and teams don’t share a single source of truth, coordination costs show up everywhere. Onboarding takes longer. Cross-team disputes about scope get harder to settle. Reviews drag. AI doesn’t remove that ambiguity — it just turns it into code, and into everyone’s business, faster. An AI agent working with fragmented context has no better luck than a person does. It can’t reliably know which source is current, which decision supersedes another, or what the team actually agreed to build.

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