I built a design quality gate for AI-generated code — here's why visual regression isn't enough

1. 1Identify the limitations of visual regression in ensuring design quality
2. 2Build a design quality gate to catch design issues in AI-generated code
3. 3Configure the gate to check for specific design rules and guidelines
4. 4Test the gate with sample AI-generated code to ensure its effectiveness
5. 5Refine the gate based on feedback and results

Developers and designers working with AI-generated code can benefit from understanding the limitations of visual regression and implementing a design quality gate to ensure high-quality outputs

💡 Visual regression alone is insufficient for ensuring design quality in AI-generated code, and a design quality gate is necessary to catch design issues

🚨 Visual regression isn't enough to ensure design quality in AI-generated code! 🚨 Learn how to build a design quality gate to catch design issues #AI #DesignQuality