Add Real-Time Presence Indicators to a Chat App with WebSockets
A step-by-step flow for implementing real-time online, offline, and typing presence in a chat app using WebSockets, including backend presence tracking, frontend updates, reconnect handling, and verification.
AI-generated draft. This flow was created by the custom generator. Review the steps and Definition of Done before running - curated flows in the library are hand-crafted and research-backed.
The Route
0/10 verifiedInspect the existing chat architecture and choose presence data flow
Establish where WebSocket connections, user identity, and chat participants already exist so presence can be added without breaking the app.
Define the presence event contract and server-side state model
Create a reliable event schema and in-memory or persistent tracking model before implementation.
Implement authenticated WebSocket connection handling on the server
Ensure the backend can identify users on socket connect and maintain a real presence registry.
Broadcast presence changes to relevant chat participants
Send online and offline updates only to users who should see them.
Add initial presence sync and frontend presence state management
Ensure the UI has the correct presence map when the chat screen first loads and stays updated from socket events.
Render presence indicators in the chat UI
Display presence in conversation headers, user lists, or message panes using the live presence state.
Implement conversation-scoped typing indicators
Add real-time typing state that appears only in the relevant conversation and clears correctly.
Handle reconnects, stale sockets, and edge cases
Make presence resilient during refreshes, temporary network drops, and multi-tab usage.
Test with two or more real clients and instrument debug output
Verify that presence is actually driven by backend socket events across separate clients.
Fix discovered issues and clean up implementation details
Resolve mismatches, remove temporary hacks, and leave a maintainable presence system.
Context Pack
Paste this first. It briefs the AI on requirements, constraints, and the Definition of Done before your first build prompt.
Paste this into your AI builder first. It teaches the AI what you want before you give it the build prompt.
Related routes
More App Builder flows that share ground with this one.
Build a Habit Tracker React App
A step-by-step flow for building a real habit tracker app in React with working habit creation, daily check-ins, streak tracking, persistence, validation, and basic testing.
+6 more steps to Done
Best foryour first pass at this - no prior setup assumed
Add Team Invites to a SaaS App
Build a real team invitation system for a SaaS app, including invite creation, email/share flow, acceptance, membership creation, role assignment, validation, and end-to-end testing.
+7 more steps to Done
Best forbuilders who have shipped a basic app before
Add a Working Team Invite System to a SaaS App
Build a real invite flow for a SaaS app so existing users can invite teammates by email, store invite records, validate tokens, accept invitations, and join the correct workspace with proper permissions.
+6 more steps to Done
Best forbuilders who have shipped a basic app before