The Context Layer is Key for Production-Grade Agents
AI Engineer · youtube · 2026-07-14
Prukalpa Sankar argues that stronger models don't automatically translate to better production-grade agents; the missing variable is context—business definitions, process knowledge, and operational standards.
She proposes a "context layer" approach:
- Managing business context using a versionable, testable, and portable context repo
- Exposing failures before deployment via simulated environments
- Feeding agent traces back into a shared context for continuous accumulation
- Keeping the context layer open, supporting MCP and Iceberg, and allowing deployment across any framework
She also points out that context engineering scales much better than simple fine-tuning or prompt engineering to solve the "works in demo, fails in production" problem.
Related event: The Context Layer is Crucial for Production-Grade Agents(2 posts)→
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