Cursor performance

Database Query Performance Degraded

After Cursor refactored your database query code, certain queries have become significantly slower. Page loads that were previously fast now timeout or feel laggy.

The generated queries are inefficient or missing important indexes.

Error Messages You Might See

Query timeout Slow query detected Connection timeout Too many rows returned
Query timeoutSlow query detectedConnection timeoutToo many rows returned

Common Causes

  1. Removed index on frequently filtered column
  2. Changed query structure to avoid index (e.g., function on indexed column)
  3. Added unnecessary JOINs or subqueries
  4. Changed from prepared statements to concatenated queries
  5. Missing LIMIT clause fetching entire result set

How to Fix It

Analyze query with EXPLAIN: EXPLAIN ANALYZE SELECT .... Look for sequential scans that should be index scans. Add indexes: CREATE INDEX idx_name ON table(column). Verify prepared statements used. Add LIMIT to prevent full table scans.

Real developers can help you.

Victor Denisov Victor Denisov Developer hanson1014 hanson1014 Full-stack developer experienced in fixing and deploying AI-generated apps from Lovable, Bolt.new, Cursor, and Replit. I specialize in debugging Supabase integration issues (auth flows, RLS policies, database connections), fixing broken deployments, resolving routing/blank screen problems, and cleaning up messy React/Vite codebases. I also build production apps with the Claude API and have shipped a Mac desktop dev tool (Nexterm from scratch. Based in Hong Kong, fast turnaround. Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services MFox MFox Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking. Kingsley Omage Kingsley Omage Fullstack software engineer passionate about AI Agents, blockchain, LLMs. ISHANTDEEP SINGH ISHANTDEEP SINGH Senior Software Engineer with 7+ years of experience in React, JavaScript, TypeScript, Next.js, and Node.js. I’ve also worked as a tech lead for startups, owning end-to-end technical execution including architecture, development, scaling, and delivery. I bring a strong mix of hands-on coding, product thinking, and technical leadership, and I’m comfortable building products from scratch as well as improving and scaling existing systems. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ Prakash Prajapati Prakash Prajapati I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale. Anthony Akpan Anthony Akpan Developer with 8 years of experience building softwares fro startups Tejas Chokhawala Tejas Chokhawala Full-stack engineer with 5 years experience building production web apps using React, Next.js and TypeScript. Focused on performance, clean architecture and shipping fast. Experienced with Supabase/Postgres backends, Stripe billing, and building AI-assisted developer tools.

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Frequently Asked Questions

How do I identify slow queries?

Enable slow query log. Use EXPLAIN ANALYZE. Check application logs for query duration.

When should I add an index?

On columns used in WHERE, JOIN, ORDER BY. Not on columns with low cardinality. Test improvement vs write cost.

Related Cursor Issues

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