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  5. Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
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Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab

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…

AI for developmentInfoQPublished: May 20, 2026
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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…

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Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems

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…

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Announcing Claude Managed Agents on Cloudflare

Cloudflare has integrated with Anthropic's Claude Managed Agents to provide a fast, isolated execution environment for autonomous code delivery. This means builders can scale agent workflows globally while strictly controlling access to…

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