How to Fix API Response Slow in AI-Built Apps
Your API endpoints take seconds to respond, degrading user experience. AI-generated backends often miss caching, indexing, and query optimization.
Error messages you might see
Error: Request timeout after 30000msWarning: Slow query detected, execution time exceeded 5000msWhy this happens in AI-generated code
Missing database indexes
Queries scan entire tables because AI-generated schemas rarely include indexes on frequently queried columns.
N+1 query problem
AI code fetches related records in loops instead of using joins or eager loading.
No response caching
Every request hits the database even for data that rarely changes.
How to fix it
Add database indexes
Identify slow queries with EXPLAIN ANALYZE and add indexes on columns used in WHERE, JOIN, and ORDER BY clauses.
Implement caching
Use Redis or in-memory caching for frequently accessed data. Set appropriate TTLs based on how often the data changes.
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Frequently asked questions
How do I find slow API endpoints?
Add request logging middleware that records response times, then sort by duration to find the worst offenders.
When should I use caching vs query optimization?
Optimize queries first. Add caching only when the query itself is already efficient but the data doesn't change often.
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