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Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
Describe an app or site in plain language and an autonomous AI agent codes, tests, and ships it for iOS, Android, or web.
Enterprise AI agent control plane that orchestrates coding agents across the SDLC on any model, deployable on-prem or air-gapped.
Agentic terminal and cloud agent platform (Warp Terminal, Warp Agent, Oz) for developers orchestrating Claude Code, Codex, and other agents.
No public pricing
No public pricing
Free trial available
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- ✦Autonomous AI agent that builds and ships apps
- ✦iOS, Android, and web output
- ✦Built-in CatDoes Cloud backend
- ✦Full code editing and export
- ✦GitHub import and error monitoring
- ✦Orchestration of AI agents across the SDLC
- ✦Model-agnostic, bring-your-own-model support
- ✦On-prem, VPC, and air-gapped deployment
- ✦Hybrid Context Engine for codebase-scoped answers
- ✦Spec, Agent, and Chat modes
- ✦Reusable skills, tool permissions, and coding-standard rules
- ✦Modern terminal rebuilt for agentic coding workflows
- ✦Warp Agent with multi-agent orchestration and model routing
- ✦Oz platform for launching agents into the cloud via SDK, CLI, or terminal
- ✦Codebase indexing and granular permission controls
- ✦Team-wide usage visibility and spend/credit caps
- ✦Open-source terminal core
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
- →Turn an idea into a shippable app without coding
- →Convert an existing website into a mobile app
- →Prototype and launch internal or customer-facing tools
- →Migrating and modernizing legacy .NET code
- →Running autonomous feature and refactor workflows
- →Enforcing company coding standards across teams
- →Answering questions and debugging across large codebases
- →Developers who want an AI-assisted terminal for daily coding
- →Teams orchestrating multiple coding agents (Claude Code, Codex) together
- →Engineering orgs needing governance over agent-driven development
- →Companies moving agent workflows from local machines to the cloud