Make your AI-built real-time features production-ready
Code review, infrastructure, and performance services for chat apps, live collaboration tools, and real-time applications built with AI coding tools.
Real-time apps — chat, live collaboration, multiplayer features, live dashboards — have fundamentally different technical requirements than standard request-response web apps. Users expect sub-second updates, offline handling, and reliable message delivery. AI tools can set up a basic WebSocket connection, but production real-time features need connection management, message ordering, conflict resolution, and infrastructure that scales with concurrent users.
Real-time App challenges we solve
The most common issues in AI-built real-time app projects.
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.
Presence and typing indicators
Showing who's online, who's typing, and who's viewing a document requires frequent presence updates that can overwhelm your server. These updates need throttling, batching, and efficient broadcast — details AI tools skip entirely.
Message persistence and history
Real-time messages need to be stored for later retrieval — chat history, edit history, activity logs. AI tools send messages through WebSockets but don't persist them, so refreshing the page loses the entire conversation.
Security in real-time channels
Every WebSocket message needs authentication and authorization. Who can send messages to this channel? Who can read them? AI tools often create open WebSocket endpoints where anyone can listen to or inject messages into any conversation.
What we review
Our real-time app audit covers these critical areas.
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
Presence system — efficient online/typing indicators with throttling
Message persistence — chat history, search, pagination of historical messages
Conflict resolution — handling simultaneous edits without data loss
Offline support — message queuing, sync on reconnect
Performance — latency under 100ms for message delivery
Monitoring — connection counts, message throughput, error tracking
Services for your real-time app
Infrastructure
Databases, APIs, auth systems, email, file storage — the backend services that power your application.
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.
Fix Bugs
We diagnose and fix bugs in AI-generated apps — from mysterious crashes to features that just don't work right.
We work with real-time app apps built with
Start with a self-serve audit
Get a professional review of your real-time app 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
Should I use WebSockets, Server-Sent Events, or a real-time service?
For chat and bidirectional communication, WebSockets are the standard. For one-way updates (live dashboards, notifications), Server-Sent Events are simpler and more reliable. For most AI-built apps, using a managed service like Supabase Realtime, Ably, or Pusher is the fastest path to production — they handle scaling, reconnection, and delivery guarantees for you.
How many concurrent users can my real-time app handle?
AI-generated real-time code typically handles 50-100 concurrent connections before issues appear. With proper connection management, a pub/sub layer, and horizontal scaling, we can architect your app to handle thousands. The exact limit depends on your message frequency and server infrastructure.
Do I need CRDTs for my collaborative features?
Only if users edit the same content simultaneously — like a shared document or whiteboard. For most real-time apps (chat, notifications, live feeds), simpler approaches work fine. If you do need collaborative editing, libraries like Yjs or Liveblocks handle the complexity so you don't have to implement CRDTs from scratch.
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 real-time app?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.