Amazon Launches Open-Source AWS Emulator Built by AI Agents to Solve Code Validation Bottleneck
Amazon Web Services has released AWS Emulator, an open-source tool written entirely by AI agents that allows developers to simulate hundreds of cloud services locally to validate AI-generated code, aiming to eliminate the high latency and costs of cloud-based testing.
Amazon Web Services (AWS) launched a new service called "AWS Emulator" on November 11, 2026. This free, locally hosted software suite replicates hundreds of the company's cloud services on developers' workstations. According to Matt Goldberg, Senior Principal Engineer at AWS, the entire service was designed and written exclusively by autonomous artificial intelligence agents, with not even a single line of code written or reviewed by a human engineer.
The tool aims to address a major bottleneck in application development arising from the adoption of AI coding agents like AWS Kiro and Claude Code. These agents generate code faster than humans can verify it, but validating all AI-generated code against real AWS cloud infrastructure has become impractical due to latency and cost considerations. Existing third-party emulators cover only a small fraction of AWS services and quickly drift out of sync.
Inspired by the manual simulation efforts required for AWS's early distributed locking service "Alf," Goldberg used AWS's public Smithy API models as specifications and the live AWS platform as ground truth. He prompted AWS Kiro to rebuild Amazon Simple Queue Service, which generated a functional replica within 15 minutes. Subsequently, dozens of autonomous agents running on Amazon Bedrock AgentCore were organized into three teams: one generating end-to-end fidelity test suites, another finding bugs and filing GitHub issues, and a third implementing fixes. An automated merge gate supervised by adversarial security agents checks for vulnerabilities before code enters the repository.
Built in Rust, AWS Emulator runs as a local HTTP server accessible via command-line interface on Linux, Windows, macOS, or Docker. Developers simply redirect their AWS CLI or SDK calls to localhost for rapid, offline validation. The project is open-sourced under a Creative Commons CC0 license, including its raw commit history and a public backlog of known discrepancies. Swami Sivasubramanian, VP of Agentic AI and Emerging Technologies at AWS, stated that this illustrates the evolution of the software engineer's role into a "systems orchestrator," defining boundaries and guardrails rather than writing grunt-work code.