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
Common Causes
- Removed request caching or memoization
- Loop making duplicate API calls instead of batch endpoint
- Removed debounce/throttle on frequently triggered requests
- Polling interval set too short or continuous
- 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.
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Hey I'm Sage! Im a Boston area software engineer who grew up in South Florida. Ive worked at a ton of cool places like a telehealth kidney care startup that took part in a billion dollar merger (Cricket health/Interwell health), a boutique design agency where I got to work on a ton of exciting startups including a photography education app, a collegiate Esports league and more (Philosophie), a data analytics as a service startup in Cambridge (MA) as well as at Phillips and MIT Lincoln Lab where I designed and developed novel network security visualizations and analytics. I've been writing code and furiously devoted to using computers to make people’s lives easier for about 17 years. My degree is in making computers make pretty lights and sounds. Outside of work I love hip hop, the Celtics, professional wrestling, magic the gathering, photography, drumming, and guitars (both making and playing them)
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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.
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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.
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Franck Plazanet
I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth.
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What I bring to AI-built apps:
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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.
prajwalfullstack
Hi Im a full stack developer, a vibe coded MVP to Market ready product, I'm here to help
Jared Hasson
Full time lead founding dev at a cyber security saas startup, with 10 yoe and a bachelor's in CS. Building & debugging software products is what I've spent my time on for forever
You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.
Get HelpFrequently 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).