Brahma Design System
A shared component and design token layer for building consistent, accessible, production-ready SaaS interfaces across teams.
Context
Multiple product surfaces were drifting in visual language, interaction behavior, component APIs, and accessibility quality. This slowed delivery and created inconsistent user experience across enterprise SaaS modules.
Problem
Teams were rebuilding similar UI patterns — buttons, inputs, tables, filters, modals — with slight variations. No shared token layer or component contract existed.
Ownership
- Reusable UI primitives and pattern components
- Design token naming and variant system
- Accessibility rules and focus management
- Component API design and documentation
- Unit and visual testing strategy
Architecture
Design tokens flow into reusable components, which compose into product patterns consumed by multiple apps and micro-frontends. Components are tested and documented for team adoption.
flowchart TD Tokens[Design Tokens] --> Components[Reusable Components] Components --> Patterns[Product Patterns] Patterns --> Apps[Product Apps / MFEs] Components --> Tests[Unit and Visual Tests] Components --> Docs[Docs and Examples]
Key Technical Decisions
| Decision | Why | Trade-off | Result |
|---|---|---|---|
| Token-first architecture | Single source of truth for color, spacing, typography | Upfront token design investment | Consistent visual language across product surfaces |
| Composable component APIs | Teams need flexibility without one-off forks | More API surface to document and test | Faster feature development with fewer UI regressions |
| Accessibility as default | Enterprise SaaS requires keyboard and screen reader support | Slower initial component delivery | Higher quality baseline for all consuming teams |
Implementation
- Defined token naming system for color, spacing, typography, and radius
- Built core primitives: buttons, inputs, modals, tables, filters, forms
- Established variant management with typed component props
- Created usage examples and consumption patterns for product teams
- Added Jest/RTL tests for interaction and accessibility behavior
Results
- Reduced duplicated UI work across product teams
- Improved product consistency and accessibility baseline
- Made new feature development faster and safer
Reflection
- The biggest win was not visual — it was reducing decision fatigue for engineers.
- Documentation quality directly affected adoption speed.
- Next: automated visual regression testing across component variants.