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AUTOSAD.ai · Model-Based AI SDLC
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Velocity vs. Governance
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The tension in AI-assisted development — and the model-based resolution.
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AI coding is fast. The enterprise isn't ready. The peer-reviewed evidence shows the gap isn't productivity — it's traceability.
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AutoSAD - The model-based AI SDLC — six principles
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Requirements engineering — structured elicitation that kills ambiguity early.
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Authoritative SysML/UML/C4 model — the single source of truth.
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Bidirectional traceability — code ↔ design ↔ requirements.
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Change propagation — a requirement change flows to all affected artifacts.
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Integrated ARB governance — reviewable, auditable decisions.
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On-prem data sovereignty — requirements, models, and prompts stay in your jurisdiction.
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The model becomes the verification substrate that vibe coding lacks and spec-driven provides only weakly — keeping acceleration, restoring accountability.
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