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Editorial snapshot from September 2026. Prices, models and interface labels may change; this is a practical guide, not a live product feed.

Kiro’s terminal agent with project context, planning and shared IDE configuration.

Coding agent · AWS · macOS · Windows · Linux

Suitable workflows

AWS and Kiro users combining project guidance with terminal development.

Limitations and billing

CLI and IDE use the same account allowance; enterprise and regional access can differ.

Capabilities we verified

Agent workflow · CLI surface · MCP · Rules / instructions

This is an evidence-based shortlist, not an exhaustive feature inventory. Omitted capabilities have not been checked for this record.

Pricing & usage

Free access; see limits

Kiro credits and optional add-on usage. The cost of metered usage or an external agent can be separate from the subscription.

Models & access

Kiro-managed models available to the account; free-tier and regional limits apply.

Verified families: Claude.

Install and start the CLI

macOS, Windows 11 PowerShell or a supported Linux distribution; use the matching installer.

curl -fsSL https://cli.kiro.dev/install | bash

Open your project folder in a terminal, then run:

kiro-cli

Account and authentication

Sign in with an available social account, AWS Builder ID or organization identity.

Project configuration and tools

.kiro configuration is shared across Kiro surfaces. Use /guide for version-specific help and kiro-cli doctor for diagnostics.

First task to try

Switch to Plan mode and ask for a change proposal grounded in the project’s requirements.

Related CLI tools

All AI CLI tools →

Kiro — Spec-driven development with requirements, tasks and agents.

Qoder CLI — Qoder’s terminal agent for project exploration, coding, review and persistent instructions.

GitHub Copilot CLI — GitHub’s terminal coding agent with repository context and Copilot account access.

Project evaluation checklist

  1. Open a small, familiar project and confirm that your essential language tooling works.
  2. Give the agent one bounded change with an observable acceptance criterion.
  3. Review the diff, run the project’s checks and compare the result with your current workflow.
  4. Inspect usage after the task. Estimate a month of similar work, including any separate model or agent bill.

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