Kiro is an agentic AI with an IDE and CLI that helps you go from prototype to production with spec-driven development. It works alongside you to turn prompts into detailed specs, then into working code, docs, and tests, automating tasks like generating documentation and unit tests.

What is spec-driven development? How is it different from vibe coding?

Spec-driven development defines requirements, system design, and tasks before writing code, explicitly documenting reasoning and implementation decisions. This allows Kiro to implement more complex tasks in fewer shots, addressing limitations of 'vibe coding' like misinterpreting context or lacking decision tracking.

How can I get started with Kiro?

Download the installer for your operating system (macOS or Linux), and log in with GitHub, Google, AWS Builder ID, or AWS IAM Identity Center. An AWS account is not required to use Kiro.

What programming languages does Kiro support?

Kiro supports a variety of programming languages including Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, shell scripting, SQL, Scala, JSON, YAML, and HCL.

Can I import settings from my existing IDE?

Yes, Kiro is based on Code OSS, allowing you to import your VS Code settings, themes, and Open VSX compatible plugins during the onboarding process.

Kiro: Agentic AI Development Environment for Coders

About Kiro

Kiro is an agentic AI development environment that empowers developers and teams to build software faster and with higher quality. It leverages spec-driven development, transforming natural language prompts into structured requirements, architectural designs, and executable tasks. Kiro's advanced agents automate coding, bug fixes, documentation, and testing, providing a structured and interactive workflow from concept to deployment.

AI-extracted from public sources. May contain errors. Methodology · Are you Kiro? Claim listing

What Makes Kiro Unique

Kiro uniquely combines an agentic IDE and CLI with spec-driven development, allowing developers to define requirements and architecture before code generation. It offers advanced context management, native Model Context Protocol (MCP) support, and customizable agent steering for precise control over AI-driven coding workflows.

Capabilities

Code generation

Bug fixing

Architectural design

System design

Implementation planning

Task automation

Documentation generation

Unit test generation

Task Categories

Pros

+Brings structure to AI coding workflows
+Accelerates development velocity by up to 10x
+Ensures precise context and explicit intent with specs
+Automates bug fixes and feature iteration
+Generates documentation and unit tests automatically
+Supports multimodal inputs for design guidance
+Offers granular control with agent steering and hooks
+Compatible with existing VS Code environments
+Provides enterprise-grade security and privacy
+Lowers the barrier to entry for complex projects

Limitations

-Currently optimized for English language conversations
-Requires local installation and terminal interaction
-May have a learning curve for spec-driven development
-No explicit public API for Kiro itself

AI Agents

AI Agents

Kiro

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

Dimension Scores

Task Scores

Trust Score

Switching & Migration

AI Agents

AI Agents

Kiro

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

What is Kiro?

What is spec-driven development? How is it different from vibe coding?

How can I get started with Kiro?

What programming languages does Kiro support?

Can I import settings from my existing IDE?

Dimension Scores

Task Scores

Trust Score

Switching & Migration