Velocity vs Governance
AI coding is fast. The enterprise isn't ready. The peer-reviewed evidence shows the gap isn't productivity — it's traceability.
40%
Vulnerable AI code
Pearce, IEEE S&P 2022
19%
slower, not faster
METR 2025 RCT
5.2%+
phantom packages
Spracklen, USENIX 2025
Why informal specs fail
Developers believed they were 20% faster .
A 40-point perception gap.
Enterprises optimize on the wrong signal.
Spec-driven tools reintroduce specifications, but informal Markdown drifts from code, links only forward (task → requirement), and never traces code back to requirements. Ambiguity materially degrades LLM output.
Vogelsang (ICSE-NIER 2025) · Cámara (SoSyM 2023) · Tinnes (ICSE 2025)
The model-based AI SDLC
Six Principles
Requirements Engineering
Structured elicitation that kills ambiguity early.
Authoritative
SysML/UML/C4 model
The single source of truth.
Bidirectional Traceability
Code ↔ design ↔ requirements.
Change Propagation
A requirement change flows to all affected artifacts.
Integrated Architecture Review Board Governance
Reviewable, auditable decisions.
On-prem Data Sovereignty
Requirements, models, and prompts stay in your jurisdiction.
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