AI for developmentInfoQ
AI for development
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for…
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated…
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load…
Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations…