AI Reports · Amazon · 2026-11-04 · Blog / commentary
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
This Part 2 post describes a four-layer framework for context engineering in production AI agents: architecture-level isolation, prompt control, filesystem externalization, and verification by independent agents. It walks through working code in Deep Insight, an open-source multi-agent data analysis solution built on the Strands Agents SDK and Amazon Bedrock AgentCore. The post reports that a single write-and-execute tool cut the context tokens each script adds by about 95 percent, and that loading skills on demand shrank the system prompt by about 97 percent.