Amazon Web Services · Kiro: AWS's Spec-Driven Agentic Coding IDE, CLI, and Cloud Agent
Kiro is an agentic development environment from AWS that turns a prompt into a spec (requirements, design, and a task list) and then implements it with agents. It runs as a desktop IDE, a CLI, and a web app with cloud sessions, and suits developers and teams who want planned, reviewable changes rather than free-form prompting.
Best for
Developers and teams who want planned, documented changes (requirements, design, and tasks) before code is written, especially for multi-step features and teams already using AWS identity
Not ideal for
Developers who mostly want quick inline edits or autocomplete, teams that need an open-source or self-hosted agent, or free-tier users who need cloud sessions
Who it's for
Software developers and engineering teams who want spec-first, reviewable agentic coding across an IDE, CLI, and cloud sessions
Kiro's value is structure. Specs, steering files, and hooks turn a coding agent into a repeatable process that leaves a paper trail, which helps on multi-step features and on teams that review plans before code. Cloud sessions you can resume from the IDE, terminal, or phone make long tasks easier to hand off. The costs are overhead and predictability: specs are more process than small edits need, credits burn at different rates depending on model and task, and cloud sessions are paid-only and run in a single AWS region. It suits teams that want planned agent work more than developers who mostly want fast inline help.
Who should use it
Teams that want agents to plan before coding, developers building multi-step features who want reviewable requirements and design docs, organizations standardizing conventions through steering files and hooks, and AWS-centric teams that sign in with IAM Identity Center.
Who should skip it
Developers who mainly want autocomplete or quick edits, teams that require an open-source or self-hosted agent, organizations that need cloud sessions outside US East, and budget-constrained users who need predictable flat usage.
Kiro Free
$0
Billed monthly
Kiro Pro
$20/user/month
Billed monthly
Kiro Pro+
$40/user/month
Billed monthly
Kiro Pro Max
$100/user/month
Billed monthly
Kiro Power
$200/user/month
Billed monthly
Teams and Enterprise
$20/seat/month
Billed monthly
Free tier limits: 50 credits per month; Auto, Claude Sonnet 4.5, and open-weight models only; Kiro Web and cloud sessions not included
Note: A credit is a unit of work: simple prompts can use less than one credit, while spec tasks typically use more. Premium models consume credits faster than Auto. Usage resets each billing month and unused plan credits do not roll over; add-on credits (social login or Builder ID) roll over and expire 12 months after purchase. On team credit pools, included credits reset monthly, admins buy add-on credits for the pool at $0.04 each (valid 12 months), and pooling does not use overages; existing Enterprise customers on Pro, Pro+, Pro Max, or Power subscriptions can keep overages billed at $0.04 per credit. Cloud session compute draws from the same credits. AWS GovCloud pricing is about 20% higher and has no free tier.
Available models
Building a multi-step feature with a reviewable plan
Kiro produces requirements, a design, and a task list that a lead can review before any code changes, then implements the tasks and tracks progress in tasks.md.
Enforcing team conventions automatically
Steering files load project standards into agent interactions, and hooks can run formatters, linters, or type checks after every agent file change.
Handing off a cross-repo change to the cloud
A cloud session can coordinate changes across GitHub and GitLab repositories, keep running after you disconnect, and be resumed later from the browser, IDE, or terminal.
Kiro vs. Cursor
Cursor is an AI code editor where the agent works mostly from chat and prompts, with cloud agents for background work. Kiro is also an agentic IDE, but its core workflow is writing requirements, a design, and tasks before code, plus event-driven hooks.
Kiro vs. Google Antigravity
Google Antigravity is an agent-first platform centered on running many coding agents in parallel from a desktop command center. Kiro emphasizes structured specs and hooks, with cloud sessions you can resume across IDE, CLI, web, and mobile.
Kiro vs. Claude Code
Claude Code is Anthropic's coding agent for Claude models in the terminal, IDEs, desktop, and web. Kiro offers Claude models among others and puts a spec-driven planning layer and hooks around the agent.
Kiro vs. OpenAI Codex
OpenAI Codex spans an open-source CLI, IDE extensions, and parallel cloud tasks tied to ChatGPT plans. Kiro uses credit-based plans, offers Claude, OpenAI GPT-5.6, and open-weight models, and structures work as specs before implementation.
What is Kiro?
Kiro is an agentic development environment built and operated by AWS. It turns prompts into specs (requirements, design, and tasks) and implements them with agents across a desktop IDE, a CLI, a web app with cloud sessions, and an iOS app in early access.
How much does Kiro cost?
Kiro Free is $0 with 50 credits a month. Individual plans are Pro at $20/user/month (1,000 credits), Pro+ at $40 (2,000), Pro Max at $100 (5,000), and Power at $200 (10,000), with add-on credits at $0.04 each. The first upgrade to Pro makes the rest of that month free and adds 500 trial credits. Teams of two or more pay $20 per seat per month for 500 included credits per seat, pooled across the team, and buy extra credits at $0.04 each.
What is spec-driven development in Kiro?
Kiro writes a requirements.md (or bugfix.md for bugs), a design.md, and a tasks.md before implementing. It then works through the tasks, running independent tasks in parallel and marking progress in tasks.md, so the plan and its execution stay reviewable.
Which models does Kiro support?
By default, Auto routes each prompt across a mix of models to balance quality, latency, and cost. Free users get Auto, Claude Sonnet 4.5, and open-weight models such as Qwen3 Coder Next, DeepSeek 3.2, GLM-5, and MiniMax M2.5. Paid plans add premium models including Claude Opus 5.5, Sonnet 5.5, and Haiku 5.5, OpenAI's GPT-5.6 Sol, Terra, and Luna, and Kimi K3 in US Regions. Enterprise admins can also enable Claude Fable 5.1. Models consume credits at different rates relative to Auto.
Is Kiro open source?
No. Kiro's IDE, CLI, and web app are proprietary AWS products. Kiro Crew, a separate persistent development workspace, is open source under Apache-2.0.
Does Kiro replace Amazon Q Developer CLI?
Yes. Kiro's upgrade guide describes Kiro CLI as the next update of the Amazon Q Developer CLI: Q CLI installs with auto-update enabled were moved to Kiro CLI in November 2025, and existing Q Developer CLI workflows, subscriptions, and sign-in keep working. Kiro CLI adds headless mode for CI, custom agents, and MCP support. Since Kiro CLI 3.0 (November 3, 2026), the old desktop app and inline shell autocomplete are retired.
Anysphere
VS Code developers who want multi-file AI editing, autonomous cloud agents, and model flexibility — not a plugin layered on top of an existing editor
Freemium
Developers who want to supervise several autonomous coding agents in parallel from a dedicated desktop app, with a free Gemini tier and Claude models on paid Google AI plans
FreemiumAnthropic
Developers and teams who want deep codebase reasoning, multi-file changes, and persistent project instructions in a terminal-friendly or IDE-native workflow
Paid
OpenAI
Developers and teams already paying for ChatGPT Plus, Pro, Business, or Enterprise who want one coding agent across the terminal, IDE, and parallel cloud tasks
FreemiumJetBrains
Developers who use or want to try the Pi coding agent and prefer an IDE-style workbench with worktree isolation, diff review, and spec files over a terminal UI, especially when running several agent tasks in parallel on one repo
FreeKiro's central idea is spec-driven development. Before writing code, the agent produces three files: requirements.md (user stories with acceptance criteria, or bugfix.md for bug analysis), design.md (architecture and sequence diagrams), and tasks.md (trackable implementation tasks). It then executes independent tasks in parallel waves and marks each one in progress or complete. Around that core are steering files in `.kiro/steering/` that encode project conventions (AGENTS.md is also supported), agent hooks that run shell commands or agent prompts on events such as file saves, prompt submission, or tool use, and MCP servers for external tools. In the IDE, Kiro can also check correctness with property-based tests. The same agent harness and `.kiro/` configuration power every surface: a desktop IDE for macOS, Windows, and Linux built on VS Code's open-source foundation (it imports VS Code settings and Open VSX extensions), a terminal CLI with headless mode for CI (Kiro's docs call it the next update of the Amazon Q Developer CLI; since version 3.0 in November 2026 it ships as a single standalone binary), Kiro Web for multi-repo tasks that open pull requests, an iOS app in early access, and a Kiro Mobile app on Google Play. Since September 2026, Kiro Web and cloud sessions have been generally available on paid plans. A session runs in a remote sandbox in the US East (N. Virginia) AWS Region, keeps working after you disconnect, can change repositories across GitHub and GitLab in one session, and can be resumed from the browser, IDE, terminal, or phone. Pricing is credit-based. The free tier includes 50 credits a month with Auto, Claude Sonnet 4.5, and open-weight models. Individual plans run from $20 to $200 per user per month with 1,000 to 10,000 credits and premium models such as Claude Opus 5.5 and OpenAI's GPT-5.6, and a first upgrade to Pro makes the rest of that month free and adds 500 trial credits. Since November 4, 2026, teams of two or more use credit pooling at $20 per seat per month, with 500 included credits per seat shared across the pool. Add-on credits cost $0.04 each. The main tradeoff is structure: specs add planning steps that pay off on larger features but are more than a quick edit needs, and credit usage varies with model choice and task complexity.
Teams of two or more now buy seats at $20 per seat per month, and each seat adds 500 included credits to a shared pool. Admins set per-user, per-group, and per-profile limits and buy add-on credits for the pool at $0.04 each, valid for a year. Credit pooling is the only option for new Kiro profiles and does not use overages.
Claude Haiku 5.5 and Kimi K3 became generally available across the Kiro IDE, CLI, Crew, and Web, following Claude Opus 5.5 and GPT-5.6 Sol on October 30.
Kiro CLI 3.0.0 made the V3 agent harness the default and became a single standalone kiro-cli binary. It retired the Classic interface, the CLI desktop app, and inline shell autocomplete. V2 remains available with --v2.
Kiro CLI 2.23.0 added reasoning controls and cloud sessions to the terminal. CLI 2.24.0 followed on September 23 with session-wide tool approval and environment isolation.
AWS made Kiro Web, cloud sessions, and cloud configuration generally available on Pro, Pro+, Pro Max, and Power plans. Cloud sessions run the agent in a remote sandbox in US East (N. Virginia), keep working while you are disconnected, and use the same credits as the rest of Kiro.
Are you the founder? Claim this listing →