Tutorials (2)

From gaming to messaging and video conferencing, real-time communication is at the forefront of most apps. WebRTC and WebSockets are among the standout real-time technologies today. They enable instant, two-way information exchange to facilitate online interactions and make communication more efficient. While they both offer powerful communication features, they have important differences. By understanding their

Note: This article assumes you have basic Node.js knowledge and are comfortable with environment variables. The code snippets in this article were run on a Windows OS. This GitHub repo contains all the files used in this article. Recently, applications or websites have been built with some form of chat. Whether it is through social

Chat applications have moved well beyond the basic IRC messaging they started as. With chat platforms such as Stream, you get access to a whole array of rich features: reactions, presence notifications, file uploads, and slash commands. These features change straightforward chat into meaningful real-time applications. But how do these work under the hood? By

Our aim today is straightforward. We learn how to integrate an AI assistant with Stream's Chat APIs and make it blazing fast, like Le Chat by Mistral AI, using the LLM inference platforms. After the February 2025 updates and improvements to Le Chat by Mistral, many developers and power users have compared its response speed

Deepseek is the latest LLM to hit the digital shelves. It boasts high-quality reasoning at a fraction of the cost of current state-of-the-art models, OpenAI o1 and o3-mini, and Gemini 2.0 Flash Thinking. DeepSeek R1 is open-source, which means two things. First, developers can examine the model's architecture, training process, and weights directly, enabling a

Hand gesture recognition has become increasingly important in computer vision and human-computer interaction. With the rise of video conferencing and virtual interactions, there's a growing need for intuitive ways to control our digital environments. In this tutorial, we'll explore building a hand gesture detection system using TensorFlow.js that can recognize various hand poses in real-time

Chat has become a necessary feature in most products. Businesses want to integrate quick, real-time communication to connect with their users. It can be for HR team management, hiring, onboarding, or within existing teams – but chat is almost everywhere. If you are a developer or product manager looking to integrate a chat API into

Python and TypeScript-based AI agent frameworks, CrewAI, LangChain, Agno, and Vercel AI SDK allow developers to build AI applications with multiple agents to act as Computer-Using Agents, or Deep Research Agents to automate browser tasks like clicking, scrolling, ordering products on the web and performing complex and multi-step tasks. These multi-AI agents may be put

JavaScript is the foundation of the modern web. Without it, you don’t have the rich interaction you expect from websites, like real-time updates, video, or chat. But JS brings a problem: bloat. Modern web apps often ship megabytes of JavaScript to the browser. This slows initial page load and hurts performance, especially for mobile devices.

Many people (especially developers) want to use the new DeepSeek R1 thinking model but are concerned about sending their data to DeepSeek. Read this article to learn how to use and run the DeepSeek R1 reasoning model locally and without the Internet or using a trusted hosting service. You run the model offline, so your

AI agent chats are mostly a 1:1 experience. But that misses a clear opportunity--having an AI member of your team. If every team member was participating in a chat with AI, you could collaborate as a group, create shared knowledge bases, or solve problems together more efficiently. So, let's build that. We're going to extend

Integrating AI into enterprise applications often challenges getting accurate and efficient results from LLMs. The main reason is that LLMs are trained on large datasets rather than specifically on your enterprise's data. These challenges may usually include hallucinations, outdated information presentation, and more. This article explores the integration of AI agents, or, Agentic Retrieval Augmented

In the previous article, we extended our API with endpoints to create and retrieve notes and integrated the new endpoints into the application. In this article, we will extend our application with full-stack functionality for editing and deleting notes. Editing Notes Adding the API Request Before creating the API, let's set up a dependency to

In the previous article, we extended our application with authentication and integrated it with the API. Now, will start building a note-taking application. We will focus on adding full-stack functionality for creating and viewing notes. Adding Dependencies Before building, let's add a few dependencies on the client side. Run the following command in a terminal

When dealing with internet video calls, many things can negatively impact call quality. Improving call quality when issues occur requires understanding how specific metrics impact your user’s experience. To help you better understand what is going on, Stream offers a comprehensive video statistics page on our dashboard. With our statistics dashboard, you can quickly inspect

In this post, we will see how to build a Python server allowing frontend chat SDKs to start and stop an AI agent for a channel in Stream Chat. Building polished AI assistants can be challenging. Features like streaming responses, table components, and code generation require complex implementation across SDKs and the backend. To ease

Have you ever wanted to chat with the characters in your favorite book? Talk to Heathcliff about his origins, Harry Potter about his first impressions of Hogwarts, Jane Eyre about Lowood, or Lizzie Bennet about Mr. Darcy's proposal. Or, maybe, like us, you can’t wait to interrogate WebRTC For The Curious to learn more about

Earlier this year, payment service Klarna launched an AI customer service assistant. Within the first month, this AI had 2.3 million conversations, the equivalent of 700 agents, and led to a 25% drop in repeated inquiries. Klarna estimated it would “drive $40 million USD in profit improvement” in 2024. Customer success is an ideal opportunity

In this post, we will see how we can build a NodeJS server that will allow frontend chat SDKs to start and stop an assistant for a given channel in Stream Chat. Building polished AI assistants can be challenging. Features like streaming responses, table components, and code generation require complex implementation across SDKs and the

Large Language Models (LLMs) are becoming increasingly prevalent, and many developers are integrating various LLM providers, such as OpenAI, Anthropic, Gemini, and others into their Stream Chat applications across multiple SDKs. To help developers get started and accelerate their development with Stream Chat and AI, we've created a platform-specific, step-by-step guide. To follow along, we

This tutorial will demonstrate how easy it is to build an AI assistant with Stream React Native Chat SDK. While this tutorial features Anthropic and OpenAI APIs as the LLM provider, you can integrate any LLM service with Stream and still benefit from the same features, such as generation indicators, markdown support, tables, etc. No

In this tutorial, we will demonstrate how easy it is to build an AI assistant for iOS using the Stream Flutter Chat SDK on both the client and server sides. For this example, we will use the Anthropic and OpenAI APIs as the LLM service, but you can use any LLM service with Stream Chat.

In this tutorial, we will demonstrate how easy it is to create an AI assistant for iOS using Stream Chat. In this example, we will use the Anthropic and OpenAI APIs as our example LLM; however, developers are free to use whichever LLM provider they like and still benefit from Stream’s rich UI support for

This tutorial guides you through building an AI assistant seamlessly integrated with the Stream Chat SDK for Jetpack Compose. You'll learn how to handle interactions on both the client and server sides by setting up and running your own simple backend. The AI assistant leverages Stream's edge network for optimal performance and uses APIs from

In this tutorial, we will demonstrate how easy it is to build an assistant integrated into Stream’s React Chat SDK and learn how to incorporate the interaction on both the client and server sides. We will use the Anthropic and OpenAI APIs as the out-of-the-box examples, but using this method, developers can integrate any LLM

Geographically dispersed teams often have a hard time scheduling meetings that work for all participants. Human Resources departments also face this challenge when working with existing employees and job candidates alike. Employees have the benefit of a defined and somewhat uniform computing environment, job applicants are a whole different challenge. Each candidate uses whatever computer

With the explosion of video content across platforms, the demand for efficient video codecs has grown exponentially. AV1 and H.264 stand out as two of the most widely discussed codecs in the industry today, each with its unique strengths, limitations, and ideal use cases. Understanding their differences and when each codec shines is critical for

This article aims to help you build AI agents powered by memory, knowledgebase, tools, and reasoning and chat with them using the command line and beautiful agent UIs. What is an Agent? Large language models (LLMs) can automate complex and sequential workflows and tasks. For example, you can use LLMs to build assistants that can

Django is approaching its twentieth anniversary. Built for the Web 1.0 era, this Python framework might seem out of place in today’s JavaScript-centric world. But (almost) anything JS can do, Django can do—and much more. You can see the power of Django in the people who continue to use it–Instagram, Mozilla, Pinterest, Disqus—all of which

Multi-agent services help solve complex problems and get things done across various domains. You can develop AI agents to send emails, search for publications, perform mathematical calculations, or read and write CSV files. Agents are AI-assisted systems powered by large language models (LLMs) that can complete tasks people encounter in their digital lives daily. A

If one topic has been dominating the news lately, it has been AI. Today, we're diving into an exciting project combining the power AI brings with a modern web app. We will build an AI chat app using Next.js, leveraging Stream’s React Chat SDK and incorporating a sleek UI design inspired by a Dribbble concept⁠

Redis is one of those remarkable tools that seem able to do everything. Need a lightning-fast in-memory cache? Redis. Need a straightforward database ideal for key-value pairs? Redis. Need a message broker for building out a publish/subscribe chat system? There’s Redis again. And that is how we’re going to use it today. Redis gives us

Svelte doesn’t get anything like the kind of love that React receives, but that doesn’t mean developers should sleep on it. Last week saw the release of Svelte 5, and while this update has React-ified Svelte a little with the introduction of runes such as $state() and $effect(), there is still enough elegance and power

In the digital age, chat messaging has become an integral part of daily communication. From personal conversations to customer support interactions, these text-based exchanges contain a wealth of information about users' emotions, opinions, and experiences. Enter sentiment analysis—a powerful tool that can unlock the emotional content hidden within these messages. Sentiment analysis uses natural language

LLMs have excelled in writing, coding, and problem-solving tasks and prompts based on the data sets they were trained with. However, these models fall short when used to solve complex puzzles because they respond with the information they were trained with and lack the ability to self-correct. Recent LLMs, like OpenAI's o1 and o3 models,

Setting up a new project can be tedious and repetitive from multiple angles. As end-users, we are learning a new platform, new paradigms, and maybe a new framework to build our next dream project. As a company, we want to get our potential users up and running as quickly as possible and make it easy

Traditional speech language models like Siri or Alexa use turn-taking as the primary interaction style. Although these systems can detect single human voices, they cannot be interrupted in real time. Let's discover an advanced AI speech dialogue system that integrates listening and speaking capabilities to engage in conversations in real time, allowing seamless to-and-fro communication

Wonder how apps keep users engaged with real-time in-app notifications? In-app notifications are a powerful tool for user retention and engagement. They keep users informed about important updates or activities, encourage users to return to the app regularly, and personalize the user experience based on individual preferences and behavior. However, implementing an effective in-app notification

In our previous blog post, we created an agent using OpenAI GPT that can understand whether or not messages contain spam. We connected it to the Stream Chat API so that incoming messages in chat can be automatically flagged and reviewed by moderators using Stream Moderation Dashboard. To enhance the accuracy of our agent and

Maintaining a safe and engaging chat environment is crucial for any online community. In this post, we'll demonstrate the practical application of Large Language Models (LLMs) in content moderation, showcasing how advanced AI can enhance community interactions by effectively managing unwanted content. We’ll also introduce essential tools and guide you through setting up a real-time

When sending messages across a chat app, one way to ensure the data and conversations are not intercepted is to build proper security to shield people who use the app. This article dives into how to implement strong end-to-end (E2EE) encryption in your app to protect users. We will integrate Seald’s E2EE into Stream’s Chat

Have you ever wondered about the cost and wreaking havoc data breaches cause worldwide every year? Let’s look at how end-to-end encryption eliminates this concern. In securing web and mobile applications, developers generally use traditional methods such as Transport Layer Security (TLS), Encryption at Rest, Encryption in Transit, etc. Although these approaches are acceptable, the

In this project, we explore building a chat app using five of the most popular web frameworks. React Angular Vue.js Svelte Next.js We’re building a similar experience in ways that are native to each of the frameworks. For some of the frameworks (specifically React and Angular), SDKs are available to build up the UI quickly.

Interactive polling in Slido, WhatsApp, Messenger, and Telegram make communicating via in-app chat or video conferencing more engaging by providing an interactive way to get participants’ opinions and make everyone in a virtual event, remote education, online gaming, or team collaboration setting feel more connected. Get Started A video showing how to create and send

StreamDeck+ is a well-known utility in video productivity tools and is loved by many. For those unfamiliar, a StreamDeck is a customizable keypad with dynamic LCD keys that provide tons of functionality at the touch of a button. Initially designed for video streamers, its versatility has made it an essential tool for anyone seeking to

In this series of blog posts, we build a clone of the popular community-building app Discord using Next.js and our chat API and video SDKs. At Stream, our real-time communication SDKs echo Discord’s mission of uniting people. The aim of this project is to replicate Discord’s functional aesthetic appeal with our own services at the

Popular chat messaging apps like WhatsApp and Telegram offer real-time video calls, while video conferencing apps like Zoom and Google Meet provide group chat during meetings. Chat apps with video calling and video conferencing apps with chat support focus on two similar communication needs. Prerequisites The two main features of the sample project in this

Welcome to part five of our series about building a Discord clone using Next.js and TailwindCSS. We have already covered many customization options while using Stream’s Chat SDK. This covered the basic setup process, creating a server list, building a list of channels with categories, and finally, the message list. For the last part of

TikTok is one of the world’s most popular social media apps. It allows users to create, share, watch short-form videos, and listen to bit-sized music from various genres. Its vibrant community makes trending and viral videos, allowing users to engage with content through likes and comments. In this tutorial, we will look at creating our

Welcome to part four of our series about building a Discord clone using Next.js and TailwindCSS. In the previous parts, we covered a lot of customization of the Stream Chat SDK and its UI components. After setting up the project, we started with the server list, a fully customized component. We built upon the SDK

The Stream Video and Audio SDK offers a JavaScript library that can be integrated with any web framework. Building a project using plain JavaScript and HTML can be a valid approach, and we have multiple tutorials and sample apps showing exactly how to do that. However, in the modern web, it has become common to

Are you looking to delve into the world of mobile app development? Ever wondered how to create a messaging application like Telegram? In this tutorial from notJust.dev, you will be guided through the process of building a fully functional messaging application using React Native, Expo, Stream, and Supabase. You'll gain hands-on experience with: React Native

I always wondered how to create the dynamic chat experience of livestreams, like those found on YouTube, but with an added convenience of allowing anyone to participate without logging in. With Next.js and Stream, I was able to successfully create that experience. In this tutorial, I cover a straightforward approach to create a livestream chat

This tutorial will guide you in creating an instant Node-based chat app that runs on a JavaScript server and outside a web browser. First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin. Before You Start Before proceeding with the tutorial, make sure you have the

Building a complete chat messaging app like WhatsApp can take time and effort. There are so many aspects developers need to consider to provide a full and feature-rich messaging experience, such as offline support, media attachment, and more. This tutorial uses Stream Chat from React Native Directory and the Expo framework to create a fully

Companion project for this article: https://github.com/GetStream/generative_ai_with_flutter Introduction For the past few years, Generative AI has been one of the most talked-about subjects in the developer world. While this conversation began in the early to mid-2010s with simpler models and fewer people affected, it has grown exponentially, with compute power becoming more easily available on devices

Effects such as fireworks, rain, confetti, and balloons in FaceTime and Messages on iOS, and their availability through other video calling apps like Zoom, make one-on-one and group calling more fun. These effects allow users to express their emotions in various ways. For example, users can use two fingers to form a victory or peace

Suhyeon Kim is an Android Developer and Educator working for Woowa Bros. After regularly using and enjoying video conferencing solutions at work she felt inspired to create a Zoom clone app using Jetpack Compose, which is considered one of the most popular toolkits in modern Android development. However, there are some challenges in implementing real-time

Over the past years, AI has become more and more of a mainstream topic, specifically with the rise in popularity of ChatGPT. As developers, there has also been a rise in tools and SDKs to build AI applications. Today, we want to look at how to build a tool in this ecosystem. The topic we

What do apps like WhatsApp, Messenger, or even Snapchat all have in common? They allow users chatting with each other to also send short voice messages to each other directly in the chat conversation. In this tutorial, we will look at what it takes to build voice messaging into a simple chat app covering everything

Instant messaging has become an integral part of web applications in recent years. The real-time exchange of information helps to cement the users' trust, whether they are customers, merchants, or other stakeholders. This technology has become ubiquitous across many industries, including virtual events, healthcare, and education. However, the complexity surrounding proper in-house implementation was an

visionOS's unique multimodal interactions, such as using the eyes, hands, and voice to interact with objects, make it an exciting platform to experiment with. The platform allows developers to mix and place 2D and 3D content and display them in Windows and Volumes. Using the Immersive Space Render, you can also place digital content in

With the advent and increasing popularity of artificial intelligence (AI) large language models (LLMs) like ChatGPT and Google's Gemini, many customers wish to implement these solutions to maintain feature parity in the marketplace and provide highly engaging and memorable experiences for their user base. As an industry-leading solution, Stream evolves alongside these market shifts and

Google recently introduced its Generative AI platform, featuring a collection of large language models (LLMs) that utilize techniques inspired by AlphaGo. Gemini is an artificial intelligence that generates new content or data from existing sources. These technologies generate realistic and coherent text, images, audio, video, and other media forms, producing entirely synthetic yet believable outputs.

This tutorial teaches you how to implement freeform drawing, chat messaging, voice calling, and video calling into your SwiftUI apps. We will use Apple's PencilKit framework, equipped with an intuitive drawing canvas and a rich set of tools for making handwritten notes and sketches. On the drawing canvas of the app, users can initiate voice

Welcome to our series about building a Discord clone using Next.js and TailwindCSS. In the previous posts, we covered setting up the project and adding the server list. This one will tackle the channel list that will look like this: Demo of the end result of the project We already mentioned different customization options for

Build an iOS 17-Style Action Composer in SwiftUI Apple tends to bring improvements to the UI on each major platform release. One of these nice improvements is the new Action Menu List. The Action Menu List is a nicely animated menu, typically under a button at the bottom left of an app’s message entry screen.

SwiftUI Chat and Video Calling App Demo An iOS app like Telegram combines chat and video calling to enhance real-time and async communication for all users. Its thoughtful animations also provide unique and engaging text-based and live connection. Let's build an iOS/SwiftUI app similar to Telegram by integrating Stream’s iOS chat SDK, iOS video calling

Twitch has a cool feature set. You can use their applications to watch a livestream, but just as easily, you can also host a livestream. But a lot is going on in the background of your app to get a shared screen across the internet to a huge audience. On top of that, you need

In part one of the series, we did not cover any UI work and instead focused on setting up the project and integrating the Stream Chat SDK. Having laid this groundwork, we can now start implementing the UI. We will start with the overall layout of the application and then build it step-by-step. This part

CometChat allows you to integrate chat messaging and video calling into your product quickly. While it offers a convenient way to get started, you will quickly run into flexibility, scalability, and customization limitations when using CometChat’s prebuilt components in your codebase. Stream is a popular CometChat alternative and the leading provider of chat APIs. Stream

The internet is a great place to connect with people. Nothing compares to real-world encounters, but there are situations where these are not possible. In these cases, online experiences can bring people together, facilitate the exchange of ideas, build communities, and create lasting friendships. Discord is a great example of an enabling platform. After getting

In this article, we're going to take a look at building a real-time collaborative whiteboard with video and live presence functionalities using NextJS, Supabase, and the Stream Video React SDK. What is a Collaborative Whiteboard? A collaborative whiteboard is an online whiteboard tool that allows multiple people to draw content simultaneously in real-time. It provides

This guide will help you create or integrate live video streaming into your iOS and Android apps using React Native to allow people to interact, chat, and watch events together. You will discover how to effortlessly add in-app live streams like Facebook Live to your existing app or build it as a stand-alone app like

Have you ever wondered how to build a mobile cross-platform audio and video calling app that runs seamlessly on iOS and Android using a single code base? Building cross-platform apps with a single code base offers faster development iterations, code maintenance, and updates. It saves the time and effort required for maintaining, for example, Android-only

Kimin Ryu is an Android app developer who uses the Stream Chat SDK to build applications in Android and Compose. Ryu originally chose Stream for his company's app because of its customizability and open-source SDK code. Access to the source code allowed him to resolve queries and efficiently communicate with Stream developers about bugs. Ryu

Setting up the React Native Command Line Interface (CLI) to prepare your development environment for Android and iOS projects requires many phases. These phases include platform-specific settings for iOS and Android, Xcode, and Android Studio configurations. Continue reading to learn how to prepare and run your React Native projects smoothly on iOS and Android devices.

Early last week, Twilio announced that they will sunset their Programmable Video offering by the end of 2024. Twilio Programmable Video is a WebRTC-based API for quickly adding real-time communication capabilities to your mobile and web applications. During this transition period, developers and businesses will need to evaluate alternative video APIs to meet the needs

Because many large language models are trained on general data, they can only answer general questions. However, businesses are left with the question of leveraging their data to incorporate it into the knowledge corpus of the models. Picture this: Your software's user guide isn't just a manual anymore; it's a conversation starter with your AI

Many coding tutorials start with a blanket statement that tells you to set up a project environment. Here are some examples: Make sure to have Python available Create a Ruby environment You need to have Node installed You’re told what to do but not how to do it. You might know what to do, but

In this article, you’ll learn how to incorporate a real-time video call feature into the WhatsApp Clone Compose project with Jetpack Compose and Stream’s versatile Compose Video SDK. For a comprehensive understanding of the project's architecture, layer structure, and theming, start with the earlier article, Building a Real-Time Android WhatsApp Clone With Jetpack Compose. Before

In iOS, developers can create and send user notifications locally or remotely from a server through the Apple Push Notification Service (APNs). Enabling remote push notifications in iOS apps requires setting up a server to communicate with the APNs for a production app. However, using the simulator, you can quickly emulate and debug remote push

Picture this: You're setting up a virtual meeting and want it to be as straightforward as possible. That's where integrating a video calling tool directly into Google Calendar comes into play. Google Calendar is one of the most used tools for organizing our schedules, but it's more than just a digital datebook. Paired with a

The sample SwiftUI project we will create has video conferencing features such as live broadcasting, custom reactions, screen recording, and sharing using Apple's ReplayKit framework. The meeting features help teams connect and collaborate in a safe and secure environment, whether in the office or at home. By the end of this tutorial, you will have

Video calling apps have become an essential part of our lives. They allow us to stay connected with friends and family from all over the world, and for businesses, they have become a vital tool to stay productive and exchange information across distributed teams. Snapchat, TikTok, Instagram, and Messenger have shown the power that video

Welcome to part two of SwiftUI Video Calling by Stream: Color, Image, Font, and Sound Theming Guide. We will clone parts of the WhatsApp, Messenger, and Telegram video call UIs into a single SwiftUI app powered by Stream's Swift Video SDK. The purpose is to showcase how advanced customization support options of the SDK provide

In the previous two parts of this article series, we created a NextJS project using Stream Chat and Video. Authentication was done using Supabase’s authentication feature. In this final part of the article series, we will deploy our results to Vercel. Vercel is the maintainer of the NextJS framework, and our entire codebase is NextJS-based,

Let's Add Video Calling! 📞 After a recent update to WhatsApp, users can now call each other directly from the web and desktop clients. In the previous part of this article series, we implemented a chat feature resembling WhatsApp chat using Stream’s Chat SDK, we used Supabase to quickly get user authentication going and focussed

Welcome to part one of our WhatsApp web clone project. In this section, we’ll set up our project and required tooling, and add a way to authenticate users with Supabase. Then, we’ll add messaging functionality with Stream. In part two of this series, we’ll add video calling, and in part three, we’ll deploy our new

Launched in 2009, WhatsApp remains one of the most popular communication platforms in the world, helping friends, family members, and community groups stay connected no matter where they’re located or what devices they’re using. With a powerful set of group chat, direct messaging, and audio/video calling features delivered through a simple and intuitive UI, WhatsApp

In the world of real-time content experiences, user engagement, community, and retention metrics reign supreme. Fortunately, you can elevate your UX and improve KPIs that mean the most to your app with Stream's Activity Feed API and SDKs. Our reusable components are easy to integrate, require little to no maintenance, and, most importantly, can scale

This article teaches you about publishing and watching live streams with the camera feed of an iPhone, Real-Time Messaging Protocol (RTMP) using OBS Studio, and HTTP Live Streaming (HLS). You will effortlessly create AmLive, a SwiftUI app with delightful animated emoji reactions and functionality similar to Facebook Live or TikTok Live. The resulting live streaming

Real-time video communication has emerged as an indispensable feature in contemporary applications, finding utility across many sectors, including dating, social platforms, education, gaming, and diverse communities. This functionality enables seamless real-time interaction through the simultaneous exchange of voice and video, enhancing user experiences beyond mere text communication. Yet, creating an in-house video-calling application demands a

You can apply this tutorial's techniques, tips, and tricks to personalize the audio room and live-streaming iOS apps you build with Stream Video. Take advantage of the Stream Swift Video SDK's simple and flexible theming options to build rich and custom audio/video calling, live streaming, and audio room experiences. Getting Started Use Xcode 14 or

The core functionality of this app is as follows: Basic user authentication and profile management (Chat SDK, FirebaseAuth, Firebase Storage) Autocomplete destination searching for passengers (Google Places) Drivers can view open ride requests which contain details on distance to the passenger and their destination (Chat SDK Channels) Drivers and passengers can communicate during an active

Voice messaging is common in popular chat apps such as Telegram, WhatsApp, and Messenger, allowing people to record audio clips and send them to others. This article will explore async voice messaging support in Stream Chat iOS. In the above voice-recording-supported apps, users typically send voice messages through audio attachments. Our iOS SDK has a

Whenever a new app arrives, it is a fun exercise to try and recreate its UI to learn exactly how it might be put together. The Threads app UI is pretty straightforward with a few exceptions. The follower “bubble” and profile tab selection is the most interesting UI feature I’ve found in the Threads app.

Head over to our previous article Enhancing Patient-Care: Combining Nylas’ Calendar API with Stream’s Chat API to learn more about Nylas and Stream. Understanding Key Features of the Care Appointment App A remote healthcare provider has the following functions: Log in to the application and specify availability for booking through Nylas' appointment scheduler Check notifications

What we will be building Final project of the audio room app The video above represents the completed SwiftUI project for this tutorial. You can download the demo app from GitHub. The demo app categorizes guests into speakers and listeners when they join a room. When people join a room as listeners, they can request

First, sign up for your free 30-day trial with Stream. Then, you can follow along with Notjust.dev's user-friendly tutorial on designing a real-time chat app that closely resembles iMessage with plenty of room for customization, thanks to our flexible UI kits. Low latency is one of the key features of a messaging app. Stream's Chat