An AI-powered integrated development environment (IDE) from AWS that uses a spec-driven approach to software development. Instead of jumping straight into code, Kiro guides developers through a structured workflow: describe what you want to build in natural language, review generated specifications and designs, then produce production-ready code with tests and documentation. Kiro includes AI agent capabilities for code generation, debugging, and refactoring, along with automation features called hooks that trigger actions based on development events. It aims to bridge the gap between planning and building by combining specification management with AI-assisted coding.
A startup team wants to build a serverless REST API with user authentication. Instead of writing boilerplate code from scratch, they describe the project requirements in Amazon Kiro. Kiro generates a detailed specification covering API endpoints, authentication flows, and database schema. After the team reviews and approves the spec, Kiro produces the Lambda functions, API Gateway configuration, DynamoDB table definitions, and unit tests — all following AWS best practices. When requirements change later, they update the spec and Kiro adjusts the code accordingly.
Amazon Kiro is an AWS AI-assisted IDE with a spec-driven workflow. Other clouds don’t offer a single, directly equivalent product; similar outcomes are achieved by combining an AI coding assistant (e.g., Copilot or Gemini Code Assist) with planning artifacts (docs/issues) and CI/CD tools (e.g., Azure DevOps, Cloud Build, OCI DevOps).