Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP

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…