Kiro

Kiro is an AI IDE built to help developers move from a rough prototype to production-ready software with more clarity and less rework. Instead of relying on ad‑hoc prompting, Kiro centers on spec-driven development: you describe what you want, and Kiro helps turn that intent into well-formed requirements, a system design, and a set of discrete implementation tasks. This structured workflow makes it easier to handle larger codebases and more complex features without repeating yourself or losing track of decisions.

Inside the editor, you collaborate with Kiro on specifications and architecture, then let its AI agents implement the spec with reviewable code diffs. Kiro can also automate recurring engineering work using agent hooks that trigger on events like saving a file—useful for generating documentation, writing or updating unit tests, refactoring, and performance or code-quality improvements. For teams that want more autonomy, Autopilot mode can execute broader tasks end-to-end while still keeping the process grounded in the spec.

Kiro is designed to integrate with your existing tooling and knowledge sources. With Model Context Protocol (MCP) support, it can connect to documentation, databases, and APIs to pull in relevant context when implementing features. It also supports multimodal input, so you can provide UI mockups, screenshots, or photos of architecture whiteboards to guide the build. Compatibility with VS Code ecosystems (including themes, settings, and Open VSX plugins) helps reduce switching costs, while support for state-of-the-art models like Claude Sonnet 3.7 and Sonnet 4 gives flexibility in how you generate and refine code.

Overall, Kiro aims to “tame complexity” by making specs the source of truth, turning prompts into plans, and turning plans into shippable software with automation built into the IDE.