# linkedin context engineering

Published articles for linkedin context engineering.

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

DevFeed: [Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP](<https://devfeed.tech/articles/presentation-context-engineering-at-linkedin-how-we-built-an-organizational-context-layer-for-ai-agents-with-mcp-55313.md>)

Original publisher: [Read original article](<https://www.infoq.com/presentations/linkedin-context-engineering/>)

Author: Ajay Prakash

Published: 2026-09-19T11:00:00Z

Content type: article

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [context](<https://devfeed.tech/topics/context.md>), [code search](<https://devfeed.tech/topics/code-search.md>), [coding](<https://devfeed.tech/topics/coding.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [reliability](<https://devfeed.tech/topics/reliability.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [code-search](<https://devfeed.tech/tags/code-search.md>), [coding-agents](<https://devfeed.tech/tags/coding-agents.md>), [context-engineering](<https://devfeed.tech/tags/context-engineering.md>), [development](<https://devfeed.tech/tags/development.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [infoq](<https://devfeed.tech/tags/infoq.md>), [linkedin](<https://devfeed.tech/tags/linkedin.md>), [linkedin-context-engineering](<https://devfeed.tech/tags/linkedin-context-engineering.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [model-context-protocol-mcp](<https://devfeed.tech/tags/model-context-protocol-mcp.md>), [presentation](<https://devfeed.tech/tags/presentation.md>), [productivity](<https://devfeed.tech/tags/productivity.md>), [qcon-ai-boston-2026](<https://devfeed.tech/tags/qcon-ai-boston-2026.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [transcripts](<https://devfeed.tech/tags/transcripts.md>)

### AI overview

Ajay Prakash presents LinkedIn's Contextual Agent Playbooks and Tools, which use MCP to provide procedural memory, code search, and runbooks to coding agents working in large codebases. The presentation covers the architecture and operational guardrails behind the system and reports a 20% productivity boost without loss of reliability.

### Source excerpt

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