Optimizing Pieces-Generated Code for Performance

Snippets stored in Pieces were written for a specific context and may not be the most efficient approach for all reuse scenarios. A snippet written for small datasets may have O(n²) behavior that's acceptable at small scale but problematic when reused at larger scale

Evaluate the complexity of retrieved snippets before reusing them at scale. If the original snippet was written for a small collection, consider whether the algorithm scales to the new use case. Pieces' enrichment can help identify what context the snippet was written for

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 Pieces 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.