How Outshift by Cisco achieved a 10x productivity boost with their Agentic AI Platform Engineer
Blog post from LangChain
Outshift, Cisco's incubation engine, focuses on innovations in emerging technologies by enhancing its Platform Engineering through JARVIS, an AI Platform Engineer. This AI tool, developed to significantly boost productivity, operates as a distributed Multi-Agent System (MAS) using LangGraph and the AGNTCY Agent Connect Protocol for seamless agent collaboration across systems. JARVIS integrates with existing developer tools like Jira, Backstage, Webex, and CLI, enabling developers to automate tasks such as CI/CD onboarding and resource provisioning swiftly, reducing task completion times from days to seconds. By embedding these capabilities into familiar interfaces, JARVIS increases accessibility and adoption, minimizing context-switching and operational inefficiencies while maintaining team size. The development and deployment of JARVIS follow AGNTCY’s Four-Phase method, emphasizing modularity and scalability in multi-agent systems. Outshift's efforts in integrating agentic AI are setting new standards for platform engineering, aiming to enhance human potential and innovation through AI-powered collaborations within the Internet of Agents ecosystem.