Build This Now
Build This Now
Get started

The pipeline

From idea to productResearch your marketSet up your environmentGenerate your specsBuild your features

What you get

DatabaseAuthenticationPaymentsEmailStorageCron jobsCaptchaCreditsDesign systemFrontend architectureBackend architectureAnalyticsReal-time

The AI system

OrchestrationThe agentsAgent teamsLearningPatterns

Design & brand

Generate your logoDesign your landing pageSet up your email domain

Grow your product

Add a new featureImprove a featureSettings page

Content & growth

BlogEmail sequencesSEOAI search optimization

Keep it solid

Security auditPenetration testingPerformance checkCodebase healthDrift detectionError monitoringFix production errorsAutomated monitoringSelf-healingRate limiting

Customize

CustomizeDesignBuildSecurityPerformanceBrainstorm

Reference

AdvancedStructureComponentsAll commandsTech stack

Rate limiting

Production-grade rate limiting so your API doesn't get abused.

Protect your endpoints

Without rate limiting, one script can hammer your login endpoint a thousand times per second. Your database melts. Your Stripe integration gets flooded with checkout attempts. Your AI features burn through API credits in minutes.

Inside Claude Code, type /rate-limit. It sets up production-grade rate limiting across your application. Auth endpoints, API procedures, and any resource-intensive routes get protection based on their specific needs.

What it does

Different endpoints need different limits. A login endpoint should allow a few attempts per minute per IP. A search endpoint might allow more, but not unlimited. An AI generation endpoint that costs you money per call needs tight limits with clear feedback to the user.

The system configures limits based on what each endpoint does. It adds the rate limiting middleware, configures the storage backend, and sets up proper error responses. When a user hits a limit, they get a clear message with a retry-after header, not a cryptic 500 error.

How it's implemented

Rate limiting runs as middleware, so it catches abuse before your procedures even execute. The limits are configurable per route, and the storage can be swapped between in-memory for development and a persistent store for production.

The implementation handles the edge cases that trip people up: distributed rate limiting across multiple server instances, proper handling of proxy headers for accurate IP detection, and different limit tiers for authenticated versus anonymous requests.

/rate-limit

Self-healing

Your app fixes itself overnight and asks permission before merging.

Customize

Commands for reshaping your product after the initial build.

On this page

Protect your endpointsWhat it doesHow it's implemented