Shub Argha
Founding Solutions Engineer @ Arcade.dev
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Shub Argha is a Founding Solutions Engineer @ Arcade.dev. He is a proud Michigan Wolverine with a passion for innovation and entrepreneurship, especially in AI and electronics. In quieter moments, he enjoys the literary works of Michael Chabon.
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The Missing OS: Building Production Runtimes for Persistent MCP Agents
As the Model Context Protocol (MCP) standardizes agent connectivity, the industry is shifting toward persistent, collaborative "Co-Work" agents. However, building production-grade runtimes for these agents requires solving infrastructure challenges that the protocol doesn't define. This session shares battle-tested patterns from a high-density, multi-tenant MCP runtime implementation. We explore four critical pillars: 1) Recursive MCP Bootstrapping: Enabling agents to programmatically manufacture, test, and hot-plug new MCP servers into their own lifecycle at runtime. This shifts from static toolsets to evolving capabilities. 2) Event-Streamed State: Using Redis Streams to maintain agent persistence and handle multi-client synchronization, a requirement for collaborative environments like Claude Co-Work where state must persist across sessions. 3) Git-Backed Sandboxing: Leveraging lightweight filesystem isolation (Git worktrees) to process massive datasets locally via MCP-native primitives without context window bloat. 4) Auth Orchestration: Implementing dynamic OAuth discovery and exchange within the JSON-RPC layer to navigate enterprise boundaries securely.
Untangling the Web: Navigating the Complex Landscape of Open Source AI Networking Protocols
As AI systems grow more distributed and agentic, networking is becoming one of the most critical yet misunderstood layers in the AI stack. This talk demystifies emerging protocols and patterns shaping the future of open source AI infrastructure—from Anthropic’s Model Context Protocol (MCP) and Google’s Agent-to-Agent (A2A) frameworks, to RDMA and zero-copy inference. We’ll examine how these technologies affect everything from fine-tuning and multi-agent coordination to RAG and edge deployments. Through real-world use cases and architectural diagrams, attendees will learn how traditional protocols like gRPC and GraphQL are evolving for AI workloads—and where new standards are desperately needed. Most importantly, we’ll identify key open source projects and opportunities for contribution in this fast-evolving space.
Unifying Multi-Cluster Networks with the ngrok Ingress Controller and Kubernetes Gateway API
Organizations are adopting multi-cluster architectures to enhance resiliency and scalability. This creates challenges in network orchestration and security. We will explore the integration of the ngrok Ingress Controller with the Kubernetes Gateway API to solve these challenges. The integration offers a centralized, declarative model for network configuration, automates the propagation of network policies across clusters, and enables sophisticated traffic shaping and security mechanisms.
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