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To persist design context, you can scan your repository's README, documentation, branding assets, and tokens, then save those guidelines to a local AI configuration file. This ensures future sessions automatically follow the established design rules.

The best way to save branding assets and design tokens is to run a one-time repository scan that collects this design context and writes it directly into your local AI config file, keeping all future AI interactions aligned with your project's visual guidelines.

You scan a codebase by analyzing the README, docs, tokens, and code structure to gather design guidelines. The extracted design context is then persisted to a local AI configuration file, establishing consistent design rules for future AI sessions.

Yes, a local AI config file is required. It acts as the persistent storage target where the extracted design context, tokens, and branding assets are saved, ensuring the guidelines remain accessible for all future AI interactions.

You should set up persistent design context during initial project setup. Running a one-time scan of your documentation and assets early ensures that all subsequent AI sessions and team members automatically follow the saved design guidelines.

Design context scanning includes analyzing your README, documentation, branding assets, and design tokens in addition to code. Gathering this comprehensive context ensures the AI configuration accurately reflects your project's visual and structural guidelines.