Stream Blog

Moderation has quietly become one of the hardest problems in modern apps. As chat, feeds, and real-time video interactions expand globally, the challenge isn’t just catching bad content; it’s doing it in real time, across languages, with context, and at scale. At Stream, we’ve been investing deeply in solving that problem. This roadmap is a

Event-driven architecture is nothing new. IBM MQ shipped in 1993. JMS has been around since 1998. Kafka launched in 2011. But for most of that history, event-driven patterns were for specialized domains. Most developers never touched them. That’s changed. Real-time mobile features, such as chat, activity feeds, live collaboration, or presence indicators, have pushed event-driven

TL;DR The Problem For hourly workers, communication is rarely simple. Messages are often scattered across third-party applications like WhatsApp groups, Facebook Messenger threads, texts, or generic workplace tools that were never designed for shift-based teams. The Solution Deputy set out to solve that problem by bringing real-time messaging directly into its workforce management platform. The

Let’s build a restaurant reservation system to speak with a voice agent via a real-time phone call. The service will have three main features: Agent Outbound Call: The agent can act as both a customer helper and a restaurant assistant. For example, it can be configured as an AI restaurant employee that calls customers back

Stream and CometChat are two of the most-evaluated platforms for teams building real-time communication into their products. Both offer APIs, SDKs, and UI components for messaging, audio, and video. But they are built around different philosophies:  Stream is engineered for deep customization and extreme scale, CometChat is designed to get you to production fast with

This step-by-step guide will help you build an AI front-desk receptionist that interacts with patients through conversations, assesses their conditions, and advises whether to visit a doctor or seek online medical advice. When an agent can see the patient’s condition in real time, it can make a smarter recommendation, saving patients an unnecessary trip to

A frozen message composer. A feed that won’t load. A draft that vanishes. None of these register as crashes, but all of them lose users. Add real-time features, like chat, activity feeds, or live streaming, and your crash rate can look pristine in Crashlytics while your app silently drops messages and bleeds memory. This guide

Building a social media app means a single user action must propagate to potentially millions of other users in real time, while staying fast, safe, and cheap. Every feature touches every other feature. And the hard problems shift as you scale. At 100K users, it’s the database. At 1M users, it’s the fan-out strategies. At