Engineering

It's been a busy period since our last release, and now it’s time to share Vision Agents v0.5.0 — a step toward making production-grade multimodal AI agents easy to build and deploy. While previous versions laid the groundwork for real-time voice, video, and Vision Agents, v0.5.0 focuses on stability at scale and even more expressive

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

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

In most of the world, if you're YOLO'ing, you're jumping out of a plane, asking out your future spouse, or eating gas station sushi. In vision AI, You're Only Looking Once. Ultralytics' YOLO is a real-time object detection framework with a simple premise: instead of scanning an image multiple times to find and classify objects,

Grok tends to fly under the radar. While ChatGPT, Claude, and Gemini have found their footing in enterprise workflows and agentic toolchains, Grok remains mostly associated with X, which has overshadowed some genuinely strong capabilities. Chief among them is vision: Grok can understand and generate images, produce entire videos from a single prompt, and with

Not long ago, text-to-speech (TTS) was a laughing stock. Robotic, obviously synthetic output that made customer service jokes write themselves and relegated TTS to accessibility contexts where users had no alternative. Now, you may have listened to text-to-speech today without even realizing. AI-generated podcasts, automated customer service calls, voice assistants that actually sound like assistants.

AI won’t stay online. It won’t stay on your laptop. It won’t stay centralized. It will move to every device and to the edge of every network, into your earbuds, your car, your factory floor, and your doorbell. This opens up a remarkable number of use cases. A fitness coach who listens continuously, counts your