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

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

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

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Tagged with

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#Procedural Memory
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#Runbooks
#Architectural Details
#Operational Guardrails
#Productivity Boost
#Reliability
#Large Codebases
#Tools
#AI Limitations
#Context Layer
#Software Architecture
#AI Development