Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin

Karthik Ramgopal: I am Karthik from LinkedIn. Prince Valluri: I'm Prince from LinkedIn. Karthik Ramgopal: We're going to be talking today about how we are using AI to accelerate how we do engineering at LinkedIn. At LinkedIn, our vision is to create economic opportunity for every member of the global workforce. Our mission is to connect the world's professionals, so make them more productive and successful. What does this translate into? Pretty massive scale. We have 1.3 billion members. A large percentage of the world's population is on LinkedIn. We make 17,000 connections every minute on LinkedIn. We have roughly close to 2 million feed updates being served every minute. We serve the site in 36 languages. Like when I say site, I mean the apps as well. How does this translate into engineering scale? Again, pretty massive. We have about 7,000 deployables. We serve about 3.2 million peak QPS. We exchange 45 trillion Kafka messages every day. We have 10,000-plus repositories. We submit over a million PRs every year. This is even before a bunch of this agentic AI stuff landed. Pretty massive. What this means is that if we boost engineering efficiency, we can unlock a lot of…