Polish Baboon's interface

[zayan-sheikh]

Summary

• redesign the workspace as a focused, professional motion-programming dashboard
• refine the camera stage, status states, stack and program surfaces, controls, modal, and error feedback
• provide purpose-built responsive layouts for desktop, tablet, and mobile
• preserve the existing gesture-to-program behavior and local-only camera processing

Verification

• npm test (9/9 passing)
• npm run check (0 errors, 0 warnings)
• npm run build
• visually checked at 1440×1000 and 390px mobile width with no horizontal overflow
• Vercel deployment passed; screenshots use the identical local production build because deployment protection redirects anonymous preview sessions to login

Screenshots

Desktop — 1440×1000

\n\n### Mobile — 390px\n

[vercel]

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Project	Deployment	Actions	Updated
baboon	Ready	Preview	Sep 5, 2026 12:03am UTC

[amazon-q-developer]

This PR successfully polishes Baboon's interface with a comprehensive UI redesign and code refactoring. The changes transform the application into a professional motion-programming dashboard while maintaining all existing functionality.

Key improvements:

• Complete CSS redesign with a focused, professional aesthetic using a minified approach
• Restructured main page layout with dedicated workspace sections, topbar navigation, and improved component organization
• Streamlined components with cleaner code and better separation of concerns
• Enhanced user experience with empty states, improved status indicators, and refined gesture descriptions

Verification status:

• All tests passing (9/9) ✅
• No linting errors (0 errors, 0 warnings) ✅
• Build successful ✅
• Code maintains existing gesture-to-program behavior and local camera processing ✅

The refactoring significantly reduces code complexity (641 deletions, 158 additions) while delivering responsive layouts for desktop, tablet, and mobile. No blocking issues identified.

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[amazon-q-developer]

🛑 Logic Error: The condition check inverts the original logic. After initializing, the code now calls predictPose() only when the camera is active, but this condition might not be necessary since the camera state was just set to true on line 27. However, the original logic if (!isCameraActive) return; would have prevented predictPose() from being called if the camera failed to activate, which was defensive programming. The new conditional is redundant since isCameraActive is always true at this point, but it doesn't break functionality.