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.

Daniel Vázquez Daniel Vázquez Software Engineer with over 10 years of experience on Startups, Government, big tech industry & consulting. Matt Butler Matt Butler Software Engineer @ AWS 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. Anthony Akpan Anthony Akpan Developer with 8 years of experience building softwares fro startups Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. 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. Costea Adrian Costea Adrian Embedded Engineer specilizing in perception systems. Latest project was a adas camera calibration system. 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/ 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. Sage Fulcher Sage Fulcher 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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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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