Building a real-time app with Drizzle? Let us review it.
Expert code review for real-time apps built with Drizzle. We fix Drizzle-specific security gaps, optimize performance, and handle deployment. From $19.
Common Drizzle issues we find
Real problems from Drizzle codebases we've reviewed.
Missing relation definitions
Tables defined without Drizzle relations, forcing manual joins and losing type-safe relation queries.
Unsafe raw SQL usage
Using sql`` tagged templates with unsanitized user input, or falling back to raw SQL strings that bypass Drizzle's query builder.
No migration workflow
Schema changes pushed to production without generating or applying Drizzle Kit migrations, causing schema drift between environments.
Incorrect schema types
Using wrong column types (e.g., text instead of varchar with length, integer instead of bigint for IDs) causing data truncation or overflow.
Real-time App challenges to solve
Key real-time app concerns that AI-generated code often misses.
Connection management and reconnection
WebSocket connections drop constantly — network switches, phone sleep, server deploys. AI tools open a connection but don't handle disconnection, reconnection, or missed messages during downtime. Users see stale data or lose messages without knowing it.
Message ordering and delivery guarantees
Messages must arrive in order and must not be lost. Network issues can deliver messages out of sequence or duplicate them. AI-generated real-time code has no message ordering, no deduplication, and no delivery confirmation — which means lost messages and confused users.
Conflict resolution in collaborative editing
When two users edit the same content simultaneously, whose changes win? AI tools implement 'last write wins,' which silently discards one user's work. Production collaboration needs operational transforms or CRDTs to merge concurrent edits correctly.
Scaling concurrent connections
Each WebSocket connection holds server resources. A single server can handle hundreds of connections, but thousands require load balancing with sticky sessions, a pub/sub layer (like Redis), and horizontal scaling. AI tools don't implement any of this.
What we check
Key areas we review for Drizzle real-time app projects.
Connection lifecycle — reconnection logic, heartbeat, graceful degradation
Message delivery — ordering guarantees, deduplication, acknowledgments
Authentication — WebSocket connections verified, channel-level authorization
Scaling — connection pooling, pub/sub architecture, horizontal scaling readiness
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 Drizzle real-time 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 real-time app built with Drizzle?
Yes. We regularly audit Drizzle real-time 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 Drizzle real-time apps?
Common issues include missing relation definitions and unsafe raw sql usage on the Drizzle side, combined with real-time app-specific concerns like connection management and reconnection and message ordering and delivery guarantees. We check for all of these and more.
How do I make my Drizzle real-time app production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Drizzle real-time app projects, the typical path is: fix security gaps, address real-time app-specific requirements, optimize Drizzle performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Drizzle real-time app?
Our code audit delivers a full report within 24 hours. For Drizzle real-time app projects, we check security, architecture, performance, and deployment readiness across all Drizzle-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Drizzle by Use Case
Need help with your Drizzle real-time app?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.