Kiro

Kiro

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AI Agents
September 1, 2025
Kiro is an AI-first integrated development environment that reimagines how software is built by blending human judgment with autonomous agents.
Kiro is an AI-first integrated development environment that reimagines how software is built by blending human judgment with autonomous agents.

Kiro is an AI-first integrated development environment that reimagines how software is built by blending human judgment with autonomous agents. Designed for developers who want to move quickly from concept to production, it turns informal ideas into structured, spec-driven projects: you write plain-language specifications, steering files capture project conventions and architecture, and Kiro’s agents translate those signals into tasks, code, documentation, tests and CI-ready artifacts. Agent hooks enable automation on events like file saves or manual triggers, so routine chores — generating unit tests, maintaining README files, running security checks and enforcing style rules — happen automatically or on demand. Its agentic chat and “vibe coding” features let teams prototype interactively in natural language, augmenting the formal spec workflow with fast experimentation. It surfaces proposed changes as diffs and offers an approval workflow that keeps developers in control while accelerating iteration. The platform also embraces multimodal inputs — you can feed mockups or diagrams to guide implementation — and supports a Model Context Protocol that integrates external tools such as documentation, design systems, task trackers and APIs, so agents work with live context.

Built for compatibility, it is based on Code OSS and supports many VS Code settings and extensions, which eases onboarding for existing teams. It offers cross-platform installers for macOS, Windows and Linux and is currently available as a public preview with documentation, tutorials and an interactive first-project walkthrough. Security and privacy are emphasized for production readiness, and the product provides tiered pricing to fit hobbyists, professionals and enterprises — including a free tier and paid plans with larger monthly quotas for vibe and spec requests. By combining steering files, spec-driven workflows, agent hooks, transparent diffs and integrations, it aims to make AI a practical collaborator rather than an opaque tool, helping teams preserve code quality, maintain architectural intent and ship features faster. In short, it is positioned as a developer-centric IDE that automates repetitive work, augments human creativity and embeds guardrails so organizations can confidently adopt agentic development practices.

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