Optimizing Windsurf-Generated Code for Performance

N+1 database queries — Windsurf generates a query per item in a list instead of batching. Missing database indexes on commonly queried columns. Full table scans for filtered views. No caching on expensive computations

Add eager loading or DataLoader patterns to eliminate N+1 queries. Create database indexes based on actual query patterns. Implement query pagination. Add server-side caching for expensive operations

Before optimizing, measure. Use your browser's Lighthouse audit to get a baseline score. Check Core Web Vitals (LCP, FID, CLS) — these directly affect your Google ranking. Use the Performance tab in DevTools to identify which components take the longest to render. For server-side performance, add timing logs to API routes to find slow endpoints.

The fastest way to improve performance: optimize and lazy-load images, enable compression on your server, remove unused CSS and JavaScript, implement code splitting so users only download code for the page they're viewing, and add proper caching headers for static assets. These changes alone can cut load times significantly.

If your Windsurf app uses a database, slow queries are often the biggest performance bottleneck. Add indexes on columns you filter or sort by. Use SELECT to fetch only the columns you need instead of SELECT *. Implement pagination for lists — loading 10,000 rows at once will always be slow. Consider adding a caching layer for data that doesn't change frequently.