Expert MongoDB Code Review for AI-Built Apps
MongoDB is a popular NoSQL document database used by AI tools for rapid prototyping. Its schema-less nature makes it easy to start but leads to data integrity issues, missing indexes, and injection vulnerabilities in production.
Common MongoDB issues we find
Real problems from MongoDB codebases we've reviewed.
NoSQL injection
User input passed directly into MongoDB query operators like $where, $gt, or $regex, allowing attackers to manipulate queries and extract data.
Missing schema validation
No Mongoose schemas or MongoDB JSON Schema validation, allowing inconsistent documents that break application logic.
No database indexes
Collections queried without indexes on frequently filtered or sorted fields, causing full collection scans that degrade as data grows.
Unbounded queries
find() calls without limit or pagination returning entire collections into memory, crashing the server with large datasets.
Connection string in source code
MongoDB Atlas connection strings with credentials hardcoded in source files instead of environment variables.
Missing connection pooling configuration
Default connection pool size causing connection exhaustion under load, or new connections opened per request instead of reusing a pool.
MongoDB production checklist
Key checks before deploying your MongoDB app.
All user inputs sanitized before query construction
Connection string stored in environment variables
Indexes created for all frequently queried fields
Schema validation enforced (Mongoose or JSON Schema)
All queries use pagination or limits
Connection pooling properly configured
MongoDB Atlas network access restricted to app IPs
Backup and point-in-time recovery enabled
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Our MongoDB services
Security Review
Deep security analysis of your application — from API endpoints to database access.
Deploy & Ship
From local development to production deployment.
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.
AI tools that generate MongoDB code
Start with a self-serve audit
Get a professional review of your MongoDB project 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
Is MongoDB a good choice for my app?
MongoDB works well for apps with flexible data models, content management, and real-time features. If your data is highly relational (lots of joins), a SQL database may be better. We can assess your data model and recommend the right approach.
How do I secure my MongoDB database?
Key steps: enable authentication, restrict network access to your app's IPs, sanitize all query inputs to prevent NoSQL injection, and use environment variables for connection strings. We audit all of this in our security review.
Why is my MongoDB app getting slower over time?
Almost always missing indexes. As your collections grow, queries without indexes scan every document. We identify slow queries, add proper indexes, and implement pagination to keep performance consistent.
Can you migrate my data from MongoDB to PostgreSQL?
Yes. We analyze your document structure, design a relational schema, write migration scripts, and update your application code to work with the new database.
Need help with your MongoDB project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.