Built a real-time app with Sourcegraph Cody?
We'll make it production-ready.
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 in Sourcegraph Cody apps
Building a real-time app with Sourcegraph Cody is a great start — but these challenges need attention before launch.
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 check in your Sourcegraph Cody real-time app
Common Sourcegraph Cody issues we fix
Beyond real-time app-specific issues, these are Sourcegraph Cody patterns we commonly fix.
Suggestions based on deprecated or low-quality code patterns found in the existing codebase
Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.
Cross-repo context can leak patterns from one team's code into another team's service
In large organizations where Cody indexes multiple repositories, suggestions can carry patterns from one team's codebase into another, introducing unfamiliar dependencies, different error handling conventions, or architectural approaches that do not belong in the target service.
Security vulnerabilities in existing code recommended as reference implementations
If the indexed codebase contains known security issues that have not yet been patched — unparameterized queries, missing auth checks, insecure deserialization — Cody may suggest these patterns as examples when generating similar code.
Performance anti-patterns replicated from existing high-traffic code paths
When Cody finds existing code as a reference for a new feature, it may replicate performance issues — N+1 queries, missing indexes, blocking synchronous calls — that are accepted in the existing code but will be problematic at the scale of the new feature.
Start with a self-serve audit
Get a professional review of your Sourcegraph Cody real-time app 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.
Frequently asked questions
Can I build a real-time app with Sourcegraph Cody?
Sourcegraph Cody is a great starting point for a real-time app. It handles the initial scaffolding well, but real-time apps have specific requirements — connection management and reconnection and message ordering and delivery guarantees — that need professional attention before launch.
What issues does Sourcegraph Cody leave in real-time apps?
Common issues include: suggestions based on deprecated or low-quality code patterns found in the existing codebase, cross-repo context can leak patterns from one team's code into another team's service, security vulnerabilities in existing code recommended as reference implementations. For a real-time app specifically, these issues are compounded by the need for connection management and reconnection.
How do I make my Sourcegraph Cody real-time app production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Sourcegraph Cody-built real-time apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Sourcegraph Cody-built real-time app?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger real-time app projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Sourcegraph Cody real-time app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.