Building a ai wrapper / llm app with Node.js? Let us review it.
Expert code review for ai wrapper / llm apps built with Node.js. We fix Node.js-specific security gaps, optimize performance, and handle deployment. From $19.
Common Node.js issues we find
Real problems from Node.js codebases we've reviewed.
No input validation
Request bodies and query parameters accepted without validation, enabling injection attacks and unexpected data types.
Missing rate limiting
No rate limiting on auth endpoints, API routes, or resource-intensive operations, enabling brute-force and DoS attacks.
Unhandled async errors
Unhandled promise rejections crash the Node.js process in production, taking the entire server down.
Memory leaks
Event listeners not cleaned up, growing arrays/maps, and unclosed connections that gradually consume all available memory.
AI Wrapper / LLM App challenges to solve
Key ai wrapper / llm app concerns that AI-generated code often misses.
API cost management
LLM API calls are expensive. A single unoptimized prompt can cost cents per request — which adds up fast with real users. You need token counting, cost tracking, usage limits per user, and prompt optimization to stay profitable.
Response time variability
LLM responses take 1-30 seconds depending on prompt complexity, model load, and output length. Your UI needs streaming responses, loading states, and timeout handling. Users abandon apps that feel slow.
Error handling for AI responses
The AI model might: return an error, time out, return malformed output, refuse to answer, or hallucinate. Each case needs specific handling. AI tools build the happy path but not the many failure modes.
Prompt injection and security
Users can manipulate your AI's behavior through carefully crafted inputs — making it ignore instructions, reveal system prompts, or produce harmful output. Input sanitization and output validation are essential.
What we check
Key areas we review for Node.js ai wrapper / llm app projects.
API key security — LLM API keys stored server-side, never exposed to client
Cost controls — per-user limits, token counting, usage monitoring
Streaming implementation — proper SSE/streaming for LLM responses
Error handling — timeouts, rate limits, model errors, malformed output
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Node.js ai wrapper / llm app project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code 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.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a ai wrapper / llm app built with Node.js?
Yes. We regularly audit Node.js ai wrapper / llm app projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Node.js ai wrapper / llm apps?
Common issues include no input validation and missing rate limiting on the Node.js side, combined with ai wrapper / llm app-specific concerns like api cost management and response time variability. We check for all of these and more.
How do I make my Node.js ai wrapper / llm app production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Node.js ai wrapper / llm app projects, the typical path is: fix security gaps, address ai wrapper / llm app-specific requirements, optimize Node.js performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Node.js ai wrapper / llm app?
Our code audit delivers a full report within 24 hours. For Node.js ai wrapper / llm app projects, we check security, architecture, performance, and deployment readiness across all Node.js-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Node.js by Use Case
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