Amazon Releases AWS Emulator Built Entirely by AI Agents
Amazon released AWS Emulator, a local emulator of the AWS APIs that lets developers run AWS services on their own machines. The project was built by autonomous AI agents using Kiro, with no human engineers writing or reviewing code.
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Why it matters
Amazon is now pointing to a working product as evidence that AI agents can build and maintain a large codebase on their own, with the commit history public for anyone to check.
Key Facts
- Amazon released AWS Emulator, a local emulator of the AWS APIs, built entirely by autonomous AI agents.
- No human engineers wrote or reviewed code in the AWS Emulator project.
- An initial Amazon SQS implementation was generated in 15 minutes, and a full local emulator was built over a weekend.
- Agents were divided into test suite management, problem discovery, and problem fixing teams.
- AWS Emulator source code is published on GitHub under the CC0 license.
An initial Amazon SQS implementation appeared in 15 minutes, and a full local emulator was built over a weekend. The source is on GitHub under the CC0 license.
Development started from research published in early 2026 in which Anthropic researchers showed AI agents could autonomously build a C compiler. Amazon had two things that made the same approach practical for AWS: the AWS API model as a specification, and the live cloud as a reference implementation.
Agents were split into three teams. One manages the test suite that measures how closely the emulator matches real AWS. One finds inconsistencies and groups failures by likely shared cause. One checks out the suspected code, fixes the root cause, and merges only after passing gates for compilation, coding conventions, security, and fidelity regressions. Hundreds of agents work the codebase at once, and thousands of problems are fixed daily.
Written with AI by Yomimono from the 1 cited source below, including Japanese-language reporting where cited. See our editorial policy.
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