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Kiro

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Basic Information

Kiro is an agentic IDE designed to help developers move projects from prototype to production using spec-driven development, agent hooks, and natural language coding assistance. The project provides an environment where AI features understand an entire codebase, turn prompts into structured specifications, and automate repetitive development tasks. It supports connecting external tools and data sources through the Model Context Protocol (MCP) and enables project-specific guidance via steering files. Kiro is distributed as a desktop application for macOS, Windows, and Linux and includes migration support for importing VS Code settings. The repository contains documentation links, download guidance, onboarding instructions, and channels for issue reporting and support.

Links

Stars
1662
App URL
https://github.com/kirodotdev/Kiro
Github Repository
https://github.com/kirodotdev/Kiro/blob/main/README.md

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App Details

Features
Kiro centers on a few core capabilities: Specs to plan and break down requirements into detailed implementation plans; Hooks to automate workflows with triggers tied to file changes and development events; Agentic Chat for contextual, conversational code generation and feature building; Steering files to guide AI behavior with project-specific rules and context; MCP servers to connect external services and data sources; Privacy-first practices and enterprise-grade security; One-click migration for VS Code extensions and settings; Comprehensive documentation and a first-project guide for onboarding.
Use Cases
Kiro helps developers accelerate feature delivery by turning high-level prompts into structured implementation plans and automating routine tasks through hooks, reducing manual overhead. Its agentic chat provides contextual assistance that understands the full project, improving accuracy of generated code and design decisions. Steering files and MCP integrations allow teams to customize AI behavior and bridge external tools or data, enabling smoother integration into existing workflows. Desktop availability across major operating systems and migration tooling lowers friction for adoption. The repository and documentation support troubleshooting, issue reporting, and community or paid support channels, making it practical for individual developers and organizations seeking a privacy-conscious, AI-assisted development environment.

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