THE EVOLUTION OF THE
SOURCE OF TRUTH.
Architecting a single source of truth that bridges the gap between Figma and production code through autonomous design-to-code logic.
View Concept
Systems Architecture
Rapid Rebrand Architecture.
Velocity
From Concept to Production
Audit
Strategic Rebrand Gap Analysis
Faced with a high-stakes rebrand, I architected a logic-first system using Figma Variables to decouple core primitives from their functional application. This enabled global style switching between the current site design and the rebranded UI in real-time.
The 14-Day Sprint
Leveraged the 2023 release of Figma Variables to build a "Logic Tier" that separated values from semantic intent. This enabled the creation of a logic-first system specifically for the Big O Tires rebrand in record time.
Stakeholder Gap Analysis
Developed a "Toggle" alignment tool to enable real-time switching between legacy and rebranded designs. By providing a high-fidelity comparison alongside annotated gap analyses, I streamlined the review process and secured immediate C-suite approval.
Multi-Brand Scalability
This logic-first hierarchy is the scalable blueprint for systems where sub-brands share core components but require distinct visual identities. By decoupling primitives from semantic intent, I enabled 100% component reuse.
Component Architecture
The Blueprint Phase
I architected modular "Promo Tile components" with strict anatomy and standardized type scales to reduce design debt. Tokenized using `Body Bold M` and semantic hex codes to ensure scalable governance across the pipeline.
Production Application
This "Exhibit" demonstrates the component library in a real-world scenario, bridging the gap between design and engineering with 1:1 accuracy. Annotated view ensures layout constraints and interactive atoms are implemented precisely.
Atomic Foundations
Interactive Rebrand Comparison
Before
After
Technical Innovation
THE MACHINE DESIGN SYSTEM.
Strategic Evolution
Systemic Evolution — Figma Architecture to Autonomous Pipeline
01. W3C tokens.json
Using tokens.json (W3C DTCG) as a machine-readable source of truth decouples design decisions from the tool. This eliminates documentation lag and ensures the Anatomy of every component is driven by platform-agnostic data.
02. Bi-Directional Bridging
We achieve 1:1 parity through a live architectural link between design and code. Using Figma Code Connect, production-level optimizations automatically update the design library, ensuring the UI remains a perfect, real-time mirror of the live codebase.
03. Agentic Orchestration (MCP)
Powered by the Model Context Protocol (MCP), autonomous agents monitor Figma and GitHub events to trigger real-time syncs, accessibility audits, and visual regression tests. This maintains high-integrity Exhibits at scale without manual overhead.
04. Engineering Governance
System integrity is managed via a Storybook Verification Hub. Automated PRs are vetted for technical health and visual fidelity before triggering a back-sync to designers, ensuring every component is both code-compliant and UX-validated.
05. Human Guardrails
While automation drives delivery speed, humans provide the strategic intent. This "human-in-the-loop" model ensures agent-led proposals are vetted for brand nuance, empathy, and long-term product vision before they reach production.
| Strategic Vector | 2023 Legacy Model | 2026 Agentic Pipeline |
|---|---|---|
| Paradigm | Reactive & Manual | Proactive & Autonomous |
| Source of Truth | Figma-Native Styles | W3C tokens.json (Data-First) |
| Sync Direction | Unidirectional (Push) | Bi-Directional (Figma Bridge) |
| Governance | Human Bottlenecks | Agentic Guardrails |
| Validation | Manual Redlining | Verification Hub (Storybook) |
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