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Kiro

Kiro

freemium

Agentic AI development from prototype to production

4.6
Added on Jan 6, 2026
AI Code Editor,AI Developer Tools
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Kiro interface

What is Kiro?

Kiro is an advanced AI development platform designed to streamline the journey from prototype to production by introducing structure to AI coding. Unlike standard code assistants, Kiro utilizes a spec-driven development approach, enabling developers to make their intent explicit and build precise context. This methodology helps tame the complexity often associated with AI-assisted coding, ensuring that the output is not only fast but also reliable and aligned with project requirements. The platform empowers developers and teams to 10x their output through advanced steering capabilities and custom agents. With the introduction of 'Powers,' users can now add specialized context and tools, further enhancing the AI's ability to understand specific project needs. By providing a robust framework for agentic AI development, Kiro allows users to maintain control over the codebase while leveraging the speed of automation, making it an essential tool for modern software engineering.

Key Features

Spec-Driven Development

Brings structure to AI coding by allowing developers to define explicit specifications, ensuring the generated code aligns perfectly with project requirements.

Advanced Steering

Provides granular control over the AI's output, enabling users to guide the development process and manage complex logic with ease.

Custom Agents

Allows teams to create and deploy specialized AI agents tailored to specific tasks or domains within the software development lifecycle.

Powers

New feature that adds specialized context and tools to the environment, enhancing the AI's understanding and capability for unique project needs.

Precise Context Building

Enables the construction of accurate and relevant context for the AI, reducing hallucinations and improving the quality of code suggestions.

Use Cases

Rapidly prototyping new software applications with AI-generated code that adheres to strict specifications.
Refactoring and maintaining large codebases by using custom agents to understand specific architectural patterns.
Onboarding new team members by providing explicit code context and automated documentation generation.
Accelerating the transition from a proof-of-concept to a production-ready environment through structured AI workflows.
Automating repetitive coding tasks while maintaining high standards of code quality and security.

Common Questions

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