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LinkedIn has implemented an organizational context layer using the Model Context Protocol (MCP) to equip AI agents with procedural memory, code search capabilities, and operational runbooks for debugging large-scale systems. This architectural approach allows agents to autonomously trace root causes across complex service dependencies and execute mitigation steps, delivering a verified 20% productivity boost without compromising reliability.
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Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP

InfoQ32 min read

Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on Model Context Protocol (MCP) - which serves procedural memory, code search, and runbooks directly to coding agents. Prakash shares architectural details and operational guardrails that deliver a 20% productivity boost with zero loss in reliability. By Ajay Prakash

Ajay Prakash: My name is Ajay Prakash. I'm a software engineer at LinkedIn. I'll be talking about context engineering at LinkedIn. Imagine you're an engineer in a software company, a big software company, and you happen to be on call for your team. Your team owns a set of very critical services, which is used by millions of users. All of a sudden, you get a pager alert about a latency spike in one of your services. It is causing disruption for a lot of your users. While you're trying to figure out how to deal with this issue, and how to mitigate it faster, you take the link to that alert and give it to a coding agent, like GitHub Copilot. The coding agent, it fetches the instructions on how to figure out how to debug this issue, or debug alerts in your company. It identifies that this issue is coming from one of your services. Then it also fetches instructions on how to debug that service. Based on those instructions, it fetches the logs, metrics, and recent changes, and deployments that went in. It identifies that the issue is coming because of a different service, which is a…

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