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V-Model

Five Lessons from Spec-Driven Development Across Regulated Industries

Over the past four articles, we walked through the compliance chasm separating AI-native teams from regulated teams, then went deep into three of the most demanding safety standards in the world — IEC 62304 for medical devices, ISO 26262 for automotive functional safety, and DO-178C for airborne software. The domains are different. The regulatory bodies are different. The terminology is different. But the patterns that emerged are remarkably similar. These five lessons apply whether you're building a blood glucose monitor, an emergency braking system, or a flight management computer. They even apply if you're not in a regulated industry at all.

DO-178C Traceability: Deterministic Verification in a Probabilistic Age

A flight management system. DAL-A — catastrophic failure condition. Every high-level requirement must trace to a test. Every test must trace back to a requirement. Every condition in every decision must be shown to independently affect the outcome. The FAA doesn't accept "probably correct." They accept "provably correct." And this is where the separation between what AI generates and what scripts verify stops being an architectural preference and becomes a certification necessity.

ISO 26262 ASIL-D Without the Overhead: V-Model Meets AI

An Autonomous Emergency Braking system. ASIL-D — the highest automotive safety integrity level. The kind of system where a software defect can mean a fatality. Traditionally, teams building ASIL-D systems spend four to six months producing documentation before writing a single line of production code: safety requirements, FMEA registers, architecture descriptions, test plans at every level, bidirectional traceability matrices, and the structural coverage analysis to tie it all together. With spec-driven development and the V-Model Extension Pack, the same evidence package — structurally complete, deterministically verified, and audit-ready — is produced in a fraction of that time.