Practical guides for building real-time, AI-powered products
Learn how to ship live streaming, AI inference, payments, and chat features with scalable APIs and a great developer experience.
What you’ll learn
- • Real-time video pipelines and QoS best practices
- • AI-driven recommendations and moderation
- • Payments, subscriptions, and webhooks
- • Production-grade API design and testing
Explore posts
Building Real-time Video Streaming with AI Enhancement
Implement low-latency streaming pipelines with AI features like auto quality and moderation.
AI-Powered Live Shopping: The Future of E-commerce
How AI elevates live shopping with personalization, dynamic pricing, and engagement loops.
Designing Scalable APIs for Live Streaming Platforms
API design patterns that handle millions of concurrent viewers and events.
Implementing Secure Payment Systems for Live Commerce
Integrate payments with fraud detection, idempotency, and strong customer authentication.
Real-time Chat Systems: Architecture and Implementation
Patterns for WebSocket multiplexing, delivery guarantees, and presence at scale.
AI-Driven Grocery Delivery Optimization
Optimize routing, slotting, and inventory with data-driven models for on-time delivery.
Moderation at the Edge for Live Platforms
Run lightweight models near viewers to flag risky content quickly and reduce latency.
Testing APIs with Contract-Driven Development
Use schema-first workflows, mocks, and replay to catch regressions before they ship.
Subscriptions and Invoicing for SaaS
Implement recurring billing with proration, dunning, and tax compliance.
Operating Chat at Planet Scale
Shard intelligently, compress payloads, and plan capacity to keep latency low worldwide.