Mass-migrating AI agents to Amazon Bedrock AgentCore
Migration and Modernization Blog
This article demonstrates how to migrate a fleet of 20 AI agents from Amazon Bedrock Agents Classic to Amazon Bedrock AgentCore using a pattern-first approach with parallel AI-assisted migrations, completed in approximately 2.5 hours.
- Establish migration template by serially migrating 4 agents to define reusable standard pattern and conventions
- Parallelize remaining 16 agent migrations using Kiro CLI subagents, completing in 42 minutes
- Harden deployments with security scanning, removing 9,000 lines of legacy code and fixing 48 security findings
- Reduce per-agent deployment time from 15 minutes to 4 minutes with standardized infrastructure
- Consolidate 194 independently testable @tool functions with 265 automated tests and OpenTelemetry observability
- Enable tool sharing across agents using Amazon Bedrock AgentCore Gateway with Model Context Protocol and Cedar access control
The pattern-first approach enables teams to migrate large agent fleets efficiently by investing in template design upfront, then parallelizing remaining migrations with AI assistance rather than manual engineering effort.
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