Building a api / backend service with Convex? Let us review it.
Expert code review for api / backend services built with Convex. We fix Convex-specific security gaps, optimize performance, and handle deployment. From $19.
Common Convex issues we find
Real problems from Convex codebases we've reviewed.
Missing access control on mutations
Convex mutations without identity checks, allowing any client to create, update, or delete data without authentication.
Overly broad queries
Queries that fetch entire tables without filters, sending massive amounts of data over real-time subscriptions and consuming read bandwidth.
No schema validation
Missing schema.ts definitions, allowing any shape of data to be inserted and causing type mismatches at runtime.
Inefficient reactive queries
Queries that re-execute on unrelated data changes because they scan too broadly, causing unnecessary re-renders in the frontend.
API / Backend Service challenges to solve
Key api / backend service concerns that AI-generated code often misses.
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.
What we check
Key areas we review for Convex api / backend service projects.
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
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 Convex api / backend service 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 api / backend service built with Convex?
Yes. We regularly audit Convex api / backend service 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 Convex api / backend services?
Common issues include missing access control on mutations and overly broad queries on the Convex side, combined with api / backend service-specific concerns like authentication and api keys and input validation. We check for all of these and more.
How do I make my Convex api / backend service production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Convex api / backend service projects, the typical path is: fix security gaps, address api / backend service-specific requirements, optimize Convex performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Convex api / backend service?
Our code audit delivers a full report within 24 hours. For Convex api / backend service projects, we check security, architecture, performance, and deployment readiness across all Convex-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Convex by Use Case
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