Claude Code api

Rate Limiting Not Enforced on API Endpoint

API has no rate limiting. Malicious users can spam endpoints with thousands of requests, causing DoS attack. Legitimate requests are throttled. API was designed but rate limiting was deferred as 'optimization' and never implemented.

No mechanism exists to slow down or reject excessive requests from single client.

Error Messages You Might See

No rate limiting on API Endpoint vulnerable to DoS attacks Spam requests not prevented
No rate limiting on APIEndpoint vulnerable to DoS attacksSpam requests not prevented

Common Causes

  1. Rate limiting not implemented at all, feature deferred
  2. Rate limiting framework installed but not activated
  3. Rate limit too high, effectively no limit
  4. Limit applies globally instead of per-IP or per-user
  5. No storage of request counts (memory resets, limit doesn't persist)

How to Fix It

Implement rate limiting: library (spring-cloud-gateway, express-rate-limit) or custom middleware. Limit by IP: 100 requests per minute. Limit by user: 1000 per day. Store counts in Redis for persistence across restarts. Return 429 Too Many Requests when limit exceeded. Include Retry-After header indicating when to retry.

Real developers can help you.

Luca Liberati Luca Liberati I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture Simon A. Simon A. I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows. Milan Surelia Milan Surelia Milan Surelia is a Mobile App Developer with 5+ years of experience crafting scalable, cross-platform apps at 7Span and Meticha. At 7Span, he engineers feature-rich Flutter apps with smooth performance and modern UI. As the Co-Founder of Meticha, he builds open-source tools and developer-focused products that solve real-world problems. Expertise: šŸ’” Developing cross-platform apps using Flutter, Dart, and Jetpack Compose for Android, iOS, and Web. šŸ–‹ļø Sharing insights through technical writing, blogging, and open-source contributions. šŸ¤ Collaborating closely with designers, PMs, and developers to build seamless mobile experiences. Notable Achievements: šŸŽÆ Revamped the Vepaar app into Vepaar Store & CRM with a 2x performance boost and smoother UX. šŸš€ Launched Compose101 — a Jetpack Compose starter kit to speed up Android development. 🌟 Open source contributions on Github & StackOverflow for Flutter & Dart šŸŽ–ļø Worked on improving app performance and user experience with smart solutions. Milan is always happy to connect, work on new ideas, and explore the latest in technology. Yovel Cohen Yovel Cohen I got a lot of experience in building Long-horizon AI Agents in production, Backend apps that scale to millions of users and frontend knowledge as well. 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. 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. Mehdi Ben Haddou Mehdi Ben Haddou - Founder of Chessigma (1M+ users) & many small projects - ex Founding Engineer @Uplane (YC F25) - ex Software Engineer @Amazon and @Booking.com David Olverson David Olverson Solo dev shipping production apps with AI-assisted development. I specialize in rescuing broken Lovable/Bolt/Cursor builds and taking them to production. 10+ apps shipped including SaaS CRMs, gaming platforms, real estate tools, and Discord bots. Stack: Next.js 16, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, Prisma. I use Claude Code with 50+ custom skills for rapid delivery. Average turnaround: 2-4 weeks from broken prototype to production. Nam Tran Nam Tran 10 years as fullstack developer Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures.

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Frequently Asked Questions

What's a reasonable rate limit?

Public APIs: 100-1000 per hour per IP. Authenticated: 10000+ per hour per user. Adjust based on use cases.

How to implement with Redis?

Redis INCR + EXPIRE on keys like rate_limit:ip:192.168.1.1. Increment on each request, check if > limit.

Should rate limit reset?

Yes. Common: per minute, per hour, per day. Use EXPIRE in Redis: EXPIRE key 60 (expires after 60 seconds).

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