Kiro
Kiro is an agentic development environment built and operated by a small team within AWS. It helps developers move from prompts and prototypes to production engineering work by turning natural-language requests into structured specifications, designs, tasks, code, documentation, and tests, with agents integrated across the software-development lifecycle.
At a Glance
- Individual software developers
- Development teams and startups
- Organizations and enterprises with centralized identity and governance requirements
- Teams working across large codebases, multiple repositories, CI/CD, and production systems
- +1 more
AI Tools by Kiro
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Kiro Crew
Open Source Persistent AI Workspace
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Products & Services
An AI-native Code OSS-based development environment for agentic coding, spec-driven development, agent hooks, steering files, MCP tools, multimodal context, and interactive collaboration. It supports VS Code settings and Open VSX-compatible extensions.
A terminal-based Kiro agent for building features, automating workflows, analyzing errors, tracing bugs, suggesting fixes, and using custom agents; it shares steering files and MCP settings with the IDE.
A browser-based interface for delegating and steering work in isolated cloud sandboxes, including autonomous, spec, and default modes, GitHub/GitLab repository work, and cloud automations.
A mobile surface for checking, steering, and resuming Kiro work and cloud sessions.
Market Position
Kiro is positioned as an AWS-built agentic engineering environment rather than only an autocomplete or chat coding assistant. Its differentiators are spec-driven development, hooks, property-based spec correctness, shared IDE/CLI/Web/mobile surfaces, cloud sessions, and enterprise AWS controls; Kiro Crew extends it with an inspectable, Apache-2.0 persistent multi-agent workspace. Official Kiro material frames adjacent alternatives as tools such as OpenClaw, Hermes, and Codex, while Kiro's IDE/CLI/Web compete broadly in the AI coding and agentic-development category.
Founding Story
Kiro was created within AWS in response to the view that existing IDEs did not fully exploit AI agents or provide sufficient structure and collaboration interfaces for complex engineering work. The initial vision was an AI-native development environment that could go beyond 'vibe coding' through spec-driven development, background agent hooks, and a true collaborative relationship between developer and agent. Kiro Crew began separately as an internal Amazon side project called MeshClaw: its creators wanted a secure way to start work, walk away, return to reviewable progress, and run multiple tasks in parallel; it was later opened as a Kiro project.
Business Model
Revenue Model
Subscription plans priced by monthly agent-work credits, with paid-plan add-on credits and enterprise overages. Kiro Crew itself is free open-source software, but using its Kiro agents requires a Kiro plan and the agent usage is charged against the user's existing Kiro account credits.
Pricing Tiers
50 credits; perpetual free tier with access to open-weight models and Claude Sonnet 4.5 subject to limits.
1,000 credits; add-on credits at $0.04 per credit.
2,000 credits; add-on credits at $0.04 per credit.
5,000 credits; add-on credits at $0.04 per credit.
10,000 credits; add-on credits at $0.04 per credit.
Team plans with AWS/IAM Identity Center or supported external identity providers, administration, cost controls, and optional $0.04-per-credit overages.
Target Markets
- Individual software developers
- Development teams and startups
- Organizations and enterprises with centralized identity and governance requirements
- Teams working across large codebases, multiple repositories, CI/CD, and production systems
- Developers seeking an open-source persistent agent workspace through Kiro Crew
- Turning product ideas and natural-language requirements into production-ready features
- Complex multi-file and repo-scale implementation
- Debugging, code review, test generation, and documentation maintenance
- Automated CI/CD and deployment-pipeline workflows
- Long-running migrations, refactors, and dependency upgrades in cloud sessions
- Browser-based reproduction and validation of application bugs