Kiro is an AI-powered coding IDE from Amazon Web Services that uses spec-driven development. Before writing code, it generates requirements documents, system designs, and task lists. It's a VS Code fork with Claude AI (via Bedrock), MCP support, and a CLI. Free tier offers 50 interactions/month, Pro costs $19/month.

Kiro has a free tier with 50 AI interactions per month. The Pro plan costs $19/month. You can log in with GitHub, Google, AWS Builder ID, or AWS IAM Identity Center.

What makes Kiro different from Cursor?

Kiro writes 3 documents (requirements, system design, task list) before generating any code. Cursor jumps straight to code with up to 8 parallel agents. Kiro trades speed for architectural correctness. Both cost around $20/month and are VS Code forks.

Quick Answer

What Is Kiro? AWS's Spec-Driven AI Coding IDE

Published: April 12, 2026

What Is Kiro? AWS’s Spec-Driven AI Coding IDE

Kiro is an AI-powered coding IDE from Amazon Web Services that takes a unique approach: it generates requirements, system designs, and task lists before writing any code. Think of it as an AI architect that plans first and codes second.

Last verified: April 12, 2026

The Basics

Detail	Info
Maker	Amazon Web Services
Type	AI-powered IDE (VS Code fork)
Price	Free (50 interactions/month) / $19/month Pro
AI Model	Claude (via Amazon Bedrock)
MCP Support	✅ Yes
CLI	✅ Yes (Kiro CLI)
Login	GitHub, Google, AWS Builder ID, IAM Identity Center
Website	kiro.dev

How Kiro Works

Unlike other AI IDEs that generate code immediately, Kiro follows a spec-driven workflow:

Step 1: Requirements

You describe what you want to build. Kiro generates a formal requirements document with user stories and acceptance criteria.

Step 2: System Design

Kiro creates a system design document — architecture, data flow, API contracts, and component structure.

Step 3: Task List

An ordered list of implementation tasks, broken down from the design.

Step 4: Implementation

Kiro works through the task list, implementing each step against its own specs.

This means the first response takes 30-90 seconds longer than competitors, but the resulting code is typically more architecturally sound.

Key Features

Specs (Unique to Kiro)

The headline feature. Every feature starts with documentation:

Requirements doc — What needs to be built
System design — How it should be built
Task list — Implementation steps in order

Powers

Kiro’s extensibility system for adding custom capabilities. AWS services like Amazon Location have already published Kiro Powers for AI agent context.

Hooks

Automated workflows that trigger on events (file save, pre-commit, etc.) — similar to Git hooks but AI-powered.

CLI

Kiro works as both an IDE and a CLI tool, supporting terminal-based workflows.

Pricing

Plan	Price	Includes
Free	$0	50 AI interactions/month
Pro	$19/month	Unlimited interactions
Enterprise	Custom	AWS pricing, SSO, compliance

Who Kiro Is For

✅ Great for:

Teams that value upfront design and documentation
AWS-heavy organizations (deep Bedrock integration)
Complex features that touch multiple services
Developers who want architecture guidance from AI
Projects where requirements clarity matters

❌ Not ideal for:

Quick bug fixes (spec generation is overkill)
Developers who want maximum speed over planning
Non-VS-Code users (Kiro is VS Code-only)
Prototyping where you want to see code immediately

Kiro vs the Competition

Feature	Kiro	Cursor	Windsurf	Claude Code
Approach	Spec-first	Speed-first	Cascade agent	Terminal agent
Price	$19/mo	$20/mo	$15/mo	Usage-based
Specs	✅	No	No	No
Multi-IDE	VS Code only	VS Code only	40+ IDEs	Any terminal
Parallel agents	No	8 agents	No	No
CLI	✅	No	No	✅

Security Note

In March 2026, AWS disclosed a security vulnerability (2026-009-AWS) related to arbitrary code execution via crafted project files in Kiro. This has been patched — make sure you’re running the latest version.

The Takeaway

Kiro is for developers who believe good code starts with good specs. If you’ve ever shipped a feature only to realize the architecture was wrong, Kiro’s planning-first approach will resonate. It’s slower to start but often faster to finish — fewer rewrites, better documentation, and code that matches a deliberate design.

Last verified: April 12, 2026