Cursor performance

API Rate Limit Exceeded After Changes

After Cursor refactored your API request code, the application suddenly exceeds rate limits and receives 429 Too Many Requests errors. API calls that were working are now being rate limited.

The refactored code may be making redundant requests or not implementing proper batching.

Error Messages You Might See

429 Too Many Requests Rate limit exceeded Quota exceeded Too many requests from this IP
429 Too Many RequestsRate limit exceededQuota exceededToo many requests from this IP

Common Causes

  1. Removed request caching or memoization
  2. Loop making duplicate API calls instead of batch endpoint
  3. Removed debounce/throttle on frequently triggered requests
  4. Polling interval set too short or continuous
  5. Retrying failed requests too aggressively

How to Fix It

Implement caching: store responses and return within TTL. Use debounce for search/filter: debounce(fetch, 300). Batch requests to single endpoint. Reduce polling interval. Implement exponential backoff for retries: delay = baseDelay * 2^attemptCount.

Real developers can help you.

Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Nam Tran Nam Tran 10 years as fullstack developer Matt Butler Matt Butler Software Engineer @ AWS Pratik Pratik SWE with 15+ years of experience building and maintaining web apps and extensive BE infrastructure Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Jen Jacobsen Jen Jacobsen I’m a Full-Stack Developer with over 10 years of experience building modern web and mobile applications. I enjoy working across the full product lifecycle — turning ideas into real, well-built products that are intuitive for users and scalable for businesses. I particularly enjoy building mobile apps, modern web platforms, and solving complex technical problems in a way that keeps systems clean, reliable, and easy to maintain. Omar Faruk Omar Faruk As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience. My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture. I played a key role in creating a scalable and maintainable platform to support educators and learners globally. I'm enthusiastic about embracing new challenges and making meaningful contributions. Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. Matthew Jordan Matthew Jordan I've been working at a large software company named Kainos for 2 years, and mainly specialise in Platform Engineering. I regularly enjoy working on software products outside of work, and I'm a huge fan of game development using Unity. I personally enjoy Python & C# in my spare time, but I also specialise in multiple different platform-related technologies from my day job. Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies.

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Frequently Asked Questions

What's debounce?

Waits for pause in activity before executing. Useful for search: only fetch after user stops typing for 300ms.

How do I cache API responses?

Store in variable with timestamp. Check if data is fresh before fetching. Clear on mutation (POST/PUT/DELETE).

Related Cursor Issues

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