Kiro helps developers manage intent, complete long-running tasks, and validate code correctness using AI agents that learn how they work.
Kiro bridges the gap from AI coding to engineering by providing tools for agentic development. It enables developers to manage intent, complete complex tasks across large codebases, and validate code correctness. The platform uses executable specs to define precise context and explicit intent, allowing advanced agents to fix bugs, iterate on features, and solve technical problems efficiently. Kiro transforms natural language prompts into structured requirements and acceptance criteria using EARS notation. It then analyzes the codebase to propose architectural designs and implementation plans with discrete, dependency-sequenced tasks. Developers can ask Kiro agents to implement these tasks, automating workflows directly from the terminal. It also supports agent hooks for background tasks like documentation generation or unit testing. The tool offers multimodal chat, spec-driven development, and advanced context management. It integrates with various data sources via native MCP support and allows configuration of agent interactions through steering files. Kiro supports models like Claude Sonnet 4.5 and Auto (a mix of frontier and specialized models) and is compatible with VS Code, offering features like autopilot mode, real-time credit usage tracking, image-based guidance, Git commit message generation, and intelligent error diagnostics.
Integrations: VS Code, AWS IAM Identity Center
Platforms: Web, macOS, Linux, Windows, Chrome Extension
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