Automated Design and Code Refactoring with freska.ai

28 May

Context

A growing B2B SaaS startup had a fragmented design system: components looked different in Figma, Storybook, and the live product. Designers were manually updating assets, while developers repeatedly patched inconsistent UI in code. Both teams lacked a reliable source of truth.

Challenge

Design tokens and components drifted across multiple Figma files
Code implementations no longer matched designs
Manual audits took weeks and still missed inconsistencies
Technical debt slowed release cycles

How freska.ai Helped

Freska AI introduced an automated benchmarking and refactoring loop between Figma, Storybook, and the live application.

1. Automated Figma Scan

Freska AI analysed the entire design system:

detected duplicates and outdated variants
surfaced broken tokens and inconsistent spacing
highlighted components that didn’t match front-end implementations

2. Benchmarking Against Code

The system compared each Figma component to its version in Storybook and production—identifying visual drift, naming mismatches, and outdated props.

3. Auto-Refactoring Suggestions

Freska AI generated clear, actionable improvements:

merging variants
normalising tokens
fixing accessibility gaps
proposing consistent naming across design & code

4. Code Alignment

The platform prepared developer-ready refactor scripts and PR suggestions—allowing the engineering team to update components with minimal manual work.

Impact

Design–code mismatch reduced by 80% within weeks
Unified design system re-established without rebuilding from scratch
Faster shipping thanks to AI-generated PRs and automated audits
Teams reclaimed weeks of manual alignment work
Product consistency improved across the entire UI

Result

Freska AI transformed a messy design system into a clean, scalable, continuously aligned source of truth—helping the startup ship new features faster while reducing technical debt.