Kiro AI: AI-Powered IDE for Spec-Driven Dev & Automation

Introducing Kiro AI: Where Specifications Become Software

Kiro AI redefines developer productivity—not as another autocomplete tool, but as a full-stack AI-native IDE engineered for *spec-first engineering*. It starts with your intent—expressed in plain English, diagrams, or code snippets—and systematically evolves it into validated requirements, architecture blueprints, modular implementations, comprehensive tests, and living documentation. Built on the trusted VS Code platform and supercharged by AWS Bedrock’s state-of-the-art Claude models, Kiro AI ensures that speed never compromises structure, scalability, or long-term maintainability.

Getting Started with Kiro AI in 4 Steps

Launch Kiro AI in minutes: download the native desktop app for Windows, macOS (Intel & Apple Silicon), or Linux, then sign in with your credentials. Next, articulate your feature goal using natural language—or upload wireframes, API specs, or legacy code—and watch Kiro AI synthesize precise functional requirements, system boundaries, and prioritized engineering tasks. Then activate intelligent AI agents to execute those tasks autonomously: writing clean, idiomatic code; generating unit and integration tests; updating READMEs and OpenAPI docs; and validating against your spec. Finally, ship confidently—your entire development trace—from spec to CI/CD pipeline—is versioned, auditable, and production-hardened from the first commit.

Why Developers Choose Kiro AI: Core Capabilities

Spec-First Development Engine

Autonomous AI Engineering Agents

Multimodal Context Understanding (Text + Code + Images)

Programmable Agent Hooks for Event-Driven Automation

Native AWS Integration for Scalable, Secure AI Inference

Drop-in VS Code Compatibility — Themes, Extensions, Keybindings Included

Real-World Impact: How Teams Use Kiro AI

Turn product ideas into shippable, well-documented features—without manual spec wrangling or hand-written design docs.

Eliminate repetitive toil: auto-generate edge-case tests, keep documentation in sync, enforce linting & security checks—before code even hits PR.

Collaborate across roles: feed Figma mocks, Swagger definitions, or user stories directly into the IDE—and let AI translate them into executable logic.

Build self-healing workflows: trigger agent hooks on file save, branch merge, or GitHub issue creation to run audits, regenerate SDKs, or update infrastructure-as-code.

Accelerate cloud-native delivery: deploy directly to AWS ECS, Lambda, or EKS—with built-in IAM policy generation and CloudFormation validation powered by Bedrock.

Modernize legacy workflows: import existing VS Code settings, extensions (via Open VSX), and keyboard shortcuts—zero relearning required.

Ship faster *and* sustainably: prototype boldly, then evolve iteratively—while preserving architectural integrity and test coverage at every stage.

Frequently Asked Questions

How does Kiro AI differ from Copilot, Cursor, or other AI coding tools?

What are Kiro AI’s pricing plans—and what’s included in each tier?

Which programming languages, frameworks, and tech stacks does Kiro AI support?

Can I extend Kiro AI with my own tools, APIs, or internal services?

Is my source code and project data private and compliant?

What exactly are Agent Hooks—and how do I configure them?

Does Kiro AI require constant internet connectivity?

Can I use Kiro AI alongside my current VS Code setup—or is migration mandatory?

What operating systems and hardware architectures are supported?

Where can I find documentation, community help, or enterprise support?

• Support & Contact Information

  For billing inquiries, refunds, or urgent technical assistance, visit our Contact Us page.

• About Kiro AI

  Company Name: Kiro AI

  Headquarters: Remote-first, globally distributed engineering team

  Learn more about our mission and technology: About Kiro AI

• Kiro AI Login

  Sign in to your account: Kiro AI Login Portal

• Kiro AI Sign Up

  Start your free preview: Create Your Account

• Kiro AI Pricing

  Transparent, usage-based plans: View All Tiers

• Kiro AI on GitHub

  Explore open-source contributions, report issues, or dive into the codebase: github.com/kirodotdev

FAQ from Kiro AI

What is Kiro AI?

Kiro AI is an AI-native Integrated Development Environment designed for teams who demand rigor *and* velocity. It anchors development in human-readable specifications—then uses autonomous AI agents to generate, validate, and evolve production-grade software across the full SDLC. Unlike chat-centric assistants, Kiro AI operates as a collaborative engineering partner—enforcing consistency, traceability, and quality at every layer.

How to use Kiro AI?

Install the desktop client → authenticate → describe your feature in natural language or attach context (mockups, schemas, code samples) → review and refine the generated spec, design, and task plan → click “Run” to activate AI agents → monitor progress in real time → deploy with confidence. Every action is grounded in your original specification—ensuring alignment from inception to operation.

How does Kiro AI differ from Copilot, Cursor, or other AI coding tools?

While others augment editing, Kiro AI *orchestrates development*. It doesn’t just suggest lines—it owns the lifecycle: requirement validation, architecture decisions, cross-file refactoring, test coverage analysis, and documentation generation—all governed by your spec. No more fragmented prompts or context-switching between tools.

What are Kiro AI’s pricing plans—and what’s included in each tier?

We offer three tiers: Free ($0, 50 monthly AI interactions), Pro ($19/month, 1,000 interactions + priority support), and Pro+ ($39/month, 3,000 interactions + dedicated AWS Bedrock capacity + SSO). During public preview, all Pro+ features are unlocked at no cost.

Which programming languages, frameworks, and tech stacks does Kiro AI support?

Kiro AI supports 50+ languages—including Python, TypeScript, Rust, Go, Java, C#, Swift, and Kotlin—plus major frameworks like React, Next.js, Django, Spring Boot, and Terraform. Its VS Code foundation ensures compatibility with any language extension available on Open VSX.

Can I use Kiro AI with my existing VS Code setup?

Absolutely. Kiro AI imports your VS Code themes, keybindings, settings.json, and extensions seamlessly. You retain full control—no vendor lock-in, no forced abstraction layers. Think of it as VS Code, upgraded with AI-native engineering intelligence.

Is my source code and project data private and compliant?

Yes. All code remains local unless explicitly sent for AI processing—and even then, traffic is encrypted end-to-end via TLS 1.2+. Paid plans guarantee zero data retention or model training. Free-tier users may opt out of telemetry entirely. Infrastructure runs exclusively on AWS, meeting SOC 2, ISO 27001, and GDPR standards.

What exactly are Agent Hooks—and how do I configure them?

Agent Hooks are declarative automation triggers tied to filesystem events (e.g., “on .ts file save”, “on package.json change”). Define them in YAML to auto-run linters, generate API clients, update Swagger docs, or invoke custom scripts—enabling continuous, self-documenting development without manual intervention.

Does Kiro AI require constant internet connectivity?

AI-powered features require an active connection to AWS Bedrock. However, Kiro AI functions as a fully capable, offline-capable code editor—syntax highlighting, debugging, Git integration, and local execution remain available without interruption.

What operating systems and hardware architectures are supported?

Kiro AI ships as a native desktop application for Windows (x64/ARM64), macOS (Intel & Apple Silicon), and Linux (x64/ARM64). There is no web-only or mobile variant—performance, security, and local AI orchestration are foundational priorities.

Where can I find documentation, community help, or enterprise support?

Start with our comprehensive documentation, join the developer community on Discord, browse GitHub issues, or contact [email protected] for SLA-backed support and onboarding assistance.