AWS Kiro — AI-Native IDE by Amazon

AWS Kiro — AI-Native IDE by Amazon

Kiro is Amazon Web Services’ AI-native integrated development environment. Built on VS Code, Kiro introduces a distinctive approach called spec-driven development — before writing a single line of code, the AI generates a detailed specification document that you can review, edit, and approve.

Kiro integrates natively with AWS services and is designed for developers building cloud applications on AWS.

The Kiro Philosophy: Spec First

Most AI editors jump straight into writing code. Kiro’s approach is different:

You describe the feature
    ↓
Kiro generates a Spec (requirements, design, tasks)
    ↓
You review and approve the spec
    ↓
Kiro implements the spec, file by file
    ↓
You review the diff

This produces more predictable, reviewable AI-generated code because the intent is agreed on before implementation begins.

Key Features

Specs

When you ask Kiro to build something, it creates a markdown spec document:

# Feature: User Authentication

## Requirements
- Users should be able to register with email + password
- Passwords must be hashed (bcrypt)
- JWT tokens issued on login (24h expiry)

## Design
- POST /auth/register → UserService.register()
- POST /auth/login → UserService.login() → JWT

## Tasks
- [ ] Create User model (DynamoDB)
- [ ] Implement register endpoint
- [ ] Implement login endpoint
- [ ] Add middleware for JWT validation

You can edit the spec before Kiro starts writing code.

Hooks

Kiro supports hooks — automated actions that trigger on events:

Hook Event	Example Action
File saved	Run linter and fix issues
Test failed	Automatically attempt fix
PR opened	Generate PR description
Code merged	Update documentation

Autopilot Mode

Once a spec is approved, Kiro can run in autopilot — implementing all tasks, running tests, and fixing errors without further intervention.

AWS Integration

Kiro is purpose-built for AWS:

• Understands AWS CDK, CloudFormation, and SAM
• Suggests appropriate AWS services for requirements
• Generates IAM policies for resources it creates
• Can deploy directly to AWS from the IDE

MCP (Model Context Protocol)

Kiro supports the Model Context Protocol, allowing it to connect to external data sources, APIs, and tools — so the AI can look up live AWS documentation, query your database schema, or read from internal wikis.

Kiro vs Cursor vs Claude Code

Feature	AWS Kiro	Cursor	Claude Code
Spec-driven dev	Yes (unique)	No	No
AWS integration	Native	Via AWS CLI in terminal	Via Claude + AWS CLI
Base editor	VS Code fork	VS Code fork	Terminal
Hooks (automation)	Yes	Partial	Via shell scripts
Agent mode	Autopilot	Composer	Full agent
Pricing	Free during preview	$20/month	Via Claude Pro
Best for	AWS cloud apps	General dev	Terminal power users

Getting Started

1. Download Kiro from kiro.dev
2. Sign in with your AWS Builder ID or IAM Identity Center credentials
3. Open a project and start a new “Spec” via the Kiro panel
4. Describe your feature in plain English
5. Review the generated spec and approve
6. Watch Kiro implement it

Kiro and the AWS Ecosystem

Kiro understands common AWS patterns out of the box:

• Lambda + API Gateway — suggests this for serverless API endpoints
• ECS + Fargate — for containerized microservices
• DynamoDB — for key-value or document data
• S3 — for file storage
• CDK / CloudFormation — generates IaC alongside application code

Useful Links

• Kiro Website
• AWS Kiro Documentation
• AWS Developer Tools