Harden your AI-built API for production traffic
Security review and production services for REST and GraphQL APIs built with AI coding tools. Auth, validation, rate limiting, and performance.
APIs are the backbone of modern applications — mobile apps, SPAs, integrations, and other services all depend on your API being secure, fast, and reliable. AI tools can scaffold API endpoints quickly, but production APIs need authentication, input validation, rate limiting, documentation, and monitoring that AI tools consistently skip.
API / Backend Service challenges we solve
The most common issues in AI-built api / backend service projects.
Authentication and API keys
Every endpoint needs to verify the caller's identity. AI tools create endpoints without auth, or with auth that's easy to bypass. You need token-based auth, API key management, and proper session handling.
Input validation
Every parameter, request body, and header value must be validated before use. AI-generated APIs trust client data, which leads to injection attacks, data corruption, and crashes from unexpected input.
Rate limiting and abuse prevention
Without rate limits, anyone can hammer your API — brute-forcing passwords, scraping data, or running up your infrastructure costs. Rate limiting must be per-user and per-endpoint.
Error handling and status codes
APIs should return appropriate HTTP status codes (400 for bad input, 401 for unauthorized, 404 for not found, 500 for server errors) with helpful error messages. AI tools often return 200 for everything or expose internal error details.
Documentation
APIs without documentation are unusable. Auto-generated OpenAPI/Swagger docs from your code are the minimum. AI tools rarely set up API documentation.
Versioning and backwards compatibility
Once other services depend on your API, you can't change it freely. You need a versioning strategy from the start so you can evolve the API without breaking existing clients.
What we review
Our api / backend service audit covers these critical areas.
Authentication on every endpoint — no unprotected routes
Input validation — every parameter validated with schema
Rate limiting — per-user, per-endpoint limits configured
Error responses — correct status codes, no internal detail leaks
SQL injection and injection attacks — parameterized queries
CORS configuration — restricted to authorized origins
Database performance — query optimization, connection pooling, indexes
Logging and monitoring — structured logs, error tracking
API documentation — OpenAPI/Swagger spec generated
Services for your api / backend service
Security Review
Deep security analysis of your application — from API endpoints to database access.
Performance
Identify and fix performance bottlenecks — slow page loads, laggy interactions, and expensive operations.
Infrastructure
Databases, APIs, auth systems, email, file storage — the backend services that power your application.
Testing
Add test coverage to your AI-generated app so you can ship changes with confidence.
We work with api / backend service apps built with
Common api / backend service tech stacks
Start with a self-serve audit
Get a professional review of your api / backend service at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Do I need API documentation for an internal API?
Yes — even internal APIs need documentation. It reduces onboarding time, prevents integration bugs, and serves as a contract between teams. Auto-generated docs from code annotations (like Swagger) require minimal effort.
REST or GraphQL?
REST for most APIs — it's simpler, better cached, and more widely understood. GraphQL when you have complex data relationships with varying query needs (like dashboards that need different data for different views). AI tools generate both, but REST is safer for production without GraphQL-specific expertise.
Other use cases
SaaS App
Professional code review, security hardening, and deployment services for SaaS applications built with AI coding tools.
Marketplace
Code review and production services for two-sided marketplaces built with AI tools.
E-Commerce Store
Production services for e-commerce applications built with AI tools.
MVP / Prototype
Bridge the gap between AI-generated prototype and production-ready MVP.
Building a api / backend service?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.