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Governance-Driven DesignFormalize intent before the machine runs.

A pre-execution discipline for AI-first delivery. Move the definition of correctness upstream โ€” into the governance layer โ€” before any artifact is produced, before any agent is invoked.

GDD

The Governance Gap โ€‹

AI-first delivery is fast. Dangerously fast. Agents generate artifacts at a pace that outstrips the organizational capacity to understand what was built, why, and whether it is correct.

The response has largely been reactive: add governance after the fact. This produces the governance gap โ€” the distance between what an AI system was instructed to do and what it can be held accountable for doing.

The governance gap is not a tooling problem. It is a sequencing problem.

Governance applied after execution is remediation. Governance applied before execution is design.

The Lineage โ€‹

TDD  (2003)  โ†’  correctness defined at implementation
BDD  (2006)  โ†’  correctness defined at behaviour
DDD  (2003)  โ†’  correctness defined at domain model
GDD  (2026)  โ†’  correctness defined at governance layer
               before any artifact exists

Each transition moved correctness earlier. GDD is the next step โ€” the logical response to AI-first delivery compressing the gap between "designed" and "in production" to near-zero.

Read the full concept โ†’

The Cycle at a Glance โ€‹

1. FORMALIZE   write every assumption explicitly
2. STRESS      find what breaks each one
3. CHECK       verify internal consistency
4. SURFACE     collect what cannot be resolved
5. GATE        human decision on the residue
6. CONVERGE    exit with explicit acknowledgment

Exit condition: not all resolved โ€” but all residue explicitly acknowledged with an owner.

Explore the ICR Cycle โ†’