500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents That Actually Know Your Codebase
Conference Context
- Date/time: 2026-06-30 · 11:40am-12:00pm
- Track/room: Context Engineering · Track 8
- Speaker(s): Ajay Prakash
- Session type/status: session · confirmed
- Track: Context Engineering
- Room: Track 8
- Session type: session
- Status: confirmed
Session Description
Everyone's building custom AI agents. We didn't. Instead, we built CAPTAIN — an MCP server that makes any off-the-shelf coding agent understand LinkedIn's entire engineering stack. The secret: a meta-tool architecture (discover → inspect → execute) and composable skills that encode tribal knowledge as executable workflows. 500+ skills later, it's used across all of LinkedIn engineering. I'll show you the architecture in 10 minutes and why context engineering beats model engineering every time.
Media Evidence
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Evidence Graph
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Media Signals
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Agent Reading Notes
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Transcript Status
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People
Notes
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Synthesis
Synthesized Breakdown
500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents That Actually Know Your Codebase ## Conference Context - Date/time: 2026-06-30 · 11:40am-12:00pm - Track/room: Context Engineering · Track 8 - Speaker(s): Ajay Prakash - Session type/status: session · confirmed - Track: Context Engineering - Room: Track 8 - Session type: session - Status: confirmed ## Session Description Everyone's building custom AI agents. We didn't. Instead, we built CAPTAIN — an MCP server that makes any off-the-shelf coding agent understand LinkedIn's entire engineering stack. The secret: a meta-tool architecture (discover → inspect → execute) and composable skills that encode tribal knowledge as executable workflows.
Speaker And Company Context
- Ajay Prakash — Senior Staff Software Engineer at Linkedin.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
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