Beyond the Context Window Limit – Practical Context Engineering Techniques Learned from the Deep Insight Development Journey | Amazon Web Services

AWS Korea SA Team shared how it built Deep Insight, a production-grade multi-agent system, and used 4-layer context engineering to work around context window limits in long-running tasks.

The second installment of the blog series explains practical AWS implementations, including multi-agent structure, prompt control, file-based externalization, and verification guardrails.

The approach shows how production AI agents can reduce context overflow, quality drift, and cost growth in long-horizon workflows.

It highlights relevant AWS tools and services such as Anthropic Claude Sonnet 4.5, Strands Agents SDK, Amazon Bedrock, Bedrock AgentCore, and AWS Fargate.