Revolutionizing Development Environments with Amazon Bedrock AgentCore Runtime

The era where developers need to keep their laptops open to run AI agents is coming to an end. Amazon Bedrock AgentCore Runtime offers a new solution that hosts coding agents like Claude Code, Codex, Kiro, and Cursor CLI in a dedicated Linux microVM environment.

Traditional laptop-based development required keeping physical machines open to keep agents running. As reported by Business Insider, it has become common for developers to carry their laptops half-open during meetings and while on the move.

(Source: It’s safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore)

Technical Architecture of AgentCore Runtime

AgentCore Runtime provides a dedicated, isolated Linux microVM for each session, including a shell, file system, project checkout, dependency installation, and proper permissions.

The system consists of three main components. The Identity layer ensures that agents act on behalf of the user who triggered them. The Gateway provides a unified Model Context Protocol (MCP) endpoint for different agents like Claude Code, Codex, and Kiro, to access GitHub, Jira, Slack, and custom services. The Observability component records every step of the agents in Amazon CloudWatch.

It is possible to run multiple agents simultaneously and have them process the same GitHub issue in parallel with Claude Code, Codex, Kiro, and Cursor. Each agent is evaluated based on latency, cost, and first-pass test success rate.

(Source: It’s safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore)

Meeting Security Requirements in Enterprise Environments

For platform teams, AgentCore is designed to meet enterprise-level security requirements. Each agent has its own scope, and traffic flows through a VPC.

Identity integrates with the company’s Identity Provider (IdP), using a formal authentication system instead of .env files. AWS CloudTrail records all calls, and CloudWatch traces all steps. Tool access is mediated by a policy layer instead of ~/.netrc.

Credentials are not stored on disk and are not under the control of a Large Language Model (LLM). This enables AI agent operations that comply with enterprise security policies.

(Source: It’s safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore)

Summary

  • Using Amazon Bedrock AgentCore Runtime allows AI coding agents to run 24/7 without keeping laptops open
  • The integrated system of Identity, Gateway, and Observability provides the security requirements and governance needed for AI agent operations in enterprise environments
  • Multiple agents (Claude Code, Codex, Kiro, Cursor) can be run in parallel in the same environment, allowing for the selection of the optimal solution from the perspectives of latency, cost, and quality
  • Traffic control via VPC and complete audit logs via CloudTrail/CloudWatch enable enterprise-grade operational management