Analysis of GitHub's Primer Design System

This case study documents my systematic reverse-engineering of GitHub's Primer design system. I reconstructed key portions of Primer in Figma across three phases: Interface Inventory, Foundations, and Component Architecture. Using local variables to maintain synchronization across all tokens, states, and themes, I created a maintainable component library that reveals how Primer achieves its remarkable flexibility across contexts and color modes.

As design systems continue to shape how teams scale product design, I wanted to go deeper — not just building components, but understanding how the best systems structure decisions, tokens, and reusability. Reconstructing Primer helped me strengthen systems thinking, explore scalable atomic design, and sharpen my Figma variables craft for dark/light modes, states, and variants.

I began with a UI audit across GitHub's product to identify core elements — buttons, links, inputs, nav components — and documented how they appear, change states, and adapt to themes. This interface analysis provided a comprehensive overview of the existing components and their usage across the platform.

Before rebuilding components I mapped the underlying tokens: color, spacing, typography, and the relationships between them that power light/dark switching.

I focused on core interface elements: buttons, links, and inputs. Each component was meticulously analyzed for its properties, variations, and theme adaptations (light and dark modes). A crucial aspect was using Figma local variables to dynamically connect component properties, ensuring consistent behavior across different states and themes. This granular approach allowed me to build flexibility and adaptability into the most fundamental components.

All primary, secondary, and invisible button variants recreated with semantic controls for icon toggles and modes.

Built adaptive text inputs with full state coverage — rest, hover, disabled, error — and token-based layout.

Captured usage across interactions and modes, and tokenized typography and color handling for scale.

Building from atomic elements, I created molecular components like icon buttons and navigation items. These combine multiple atoms with added behavioral logic and toggle controls exposed in Figma's right-hand panel, making the components highly usable for designers with minimal friction.

To go beyond surface components, I rebuilt GitHub's table components — arguably one of the most complex UI structures in their app. By merging labels, icons, and status tags into repeatable patterns, I created tables where style tokens cascade down from the top. This ensured consistency and flexibility across use cases.

To validate the structure, I reconstructed a whole section of GitHub's UI using only the components I built. The exercise tested scalability, component nesting, and layout flexibility — while also demonstrating how effective design systems enhance both consistency and creativity.

This wasn't just a practice exercise — it was a deep dive into how robust systems are made. I walked away with stronger systems thinking, improved technical implementation in Figma, and a clearer framework for building accessible, scalable, and collaborative design systems that hold up in production environments.