What is Kiro? Amazon's New AI Coding Tool That Plans Before It Codes

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Every AI coding tool on the market today works roughly the same way. You describe what you want. The AI writes code. You test it, iterate, and repeat until it works.

Amazon looked at that workflow and decided it was the wrong approach.

Kiro — AWS's new AI-powered coding environment — does something different. Before it writes a single line of code, it stops and asks: do we actually have a plan here?

That one decision makes it unlike anything else in the AI coding space right now. Here is everything you need to know.

What Is Kiro?

Kiro is an agentic IDE — an AI-powered coding environment — built by Amazon Web Services and launched in mid-2025. It is built on the same open-source foundation as VS Code, so it will feel immediately familiar if you have used VS Code, Cursor, or Windsurf before.

Under the hood, Kiro is powered by Claude via Amazon Bedrock — Anthropic's model, not OpenAI's. It launched in early access and has been one of the most discussed AI coding tools of 2026, partly for the right reasons and partly for a viral incident we will get to.

The most important thing to understand about Kiro is its core philosophy: spec-driven development. Every other AI IDE — Cursor, GitHub Copilot, Claude Code — operates on some version of the same model: describe what you want, get code, iterate. Kiro rejects this as a starting point for anything complex.

The Core Idea: Plan First, Code Second

Here is what happens when you start a new feature in Kiro.

You describe what you want to build in plain English — the same as any other tool. But instead of immediately generating code, Kiro's agent produces three structured documents before writing anything:

requirements.md — User stories with structured acceptance criteria. What does this feature need to do? What counts as success? What are the edge cases?

design.md — System architecture, sequence diagrams, and component breakdown. How will this actually be built? What touches what?

tasks.md — A numbered implementation checklist the agent will work through step by step.

You review all three documents. You can edit them, push back, ask for changes. Only after you approve the plan does Kiro write any code.

This is the spec-driven development approach, and it is a genuine philosophical departure from everything else in this space. Most AI coding tools optimise for speed of output — get code in front of you as fast as possible. Kiro optimises for correctness of plan — catch the design mistakes before they become debugging sessions.

The Features That Make It Different

Agent Steering — You can give Kiro persistent instructions about your codebase: coding standards, naming conventions, which libraries to use or avoid, architectural patterns. These live in a steering file and the agent follows them across every task. This is the "give AI context it will actually remember" feature that most tools handle poorly.

Agent Hooks — Automated triggers that run in the background. For example: every time a new file is saved, automatically run tests. Every time a function is created, automatically generate documentation. Kiro turns repetitive quality-check work into a background process you set up once.

MCP Support — Kiro connects to Model Context Protocol servers, which means the agent can reach outside the IDE — reading from databases, connecting to GitHub, pulling from external APIs — as part of its workflow.

Vibe Mode vs Spec Mode — Kiro is not spec-only. For simple, quick tasks you can use Vibe Mode, which works like any other AI coding tool: describe, generate, iterate. Spec Mode is for complex features where the planning overhead pays for itself. You choose based on the task. Spec mode requests cost $0.20 per credit; vibe mode costs $0.04.

The Viral Moment (and What It Actually Means)

In February 2026, Kiro made headlines for the wrong reasons.

An early user's Kiro-generated code reportedly triggered an AWS service disruption. The story that went viral: "Kiro vibed too hard, brought down AWS." AWS officially denied that Kiro was responsible for the outage — but the incident landed hard because it highlighted a real risk that the entire AI coding industry faces: AI-generated code that interacts with production infrastructure can cause real damage if nobody reviews it carefully.

Kiro responded by adding stronger safety features, including review gates before any code that touches external services is executed. The incident was genuinely embarrassing, but it forced the team to confront the production-safety problem earlier than most competitors have. The resulting safeguards arguably make Kiro more production-ready than tools that have not had to face that reckoning yet.

Kiro vs Cursor vs Claude Code

These three tools are the most discussed in the professional developer community right now. They are not really competing for the same use case.

Cursor is built for speed and iteration. You are in a familiar VS Code-like environment, you describe changes, and the AI makes them across multiple files quickly. It is the go-to for developers who want AI to make them faster at the work they already know how to do. Best for rapid iteration on projects where you have architectural clarity.

Claude Code is a terminal-first agent that excels at deep, long-horizon reasoning across complex codebases. It does not have a visual IDE — it runs in your terminal and is built for developers who want powerful multi-file work and are comfortable on the command line. Best for architectural reasoning and large refactors.

Kiro sits between them with a different value proposition entirely. It is built for structured feature development on complex projects where jumping straight to code is how you accumulate technical debt and rework. The spec-driven workflow adds friction up front to save time downstream. Best for complex features where design clarity matters more than raw speed.

The pattern emerging among experienced developers in 2026 is not picking one tool — it is using all three for different situations. Kiro for structured feature planning. Cursor for rapid iteration. Claude Code for deep architectural reasoning.

Pricing

Kiro is currently in early access:

  • Free tier — 50 interactions per month
  • Pro — $19/month

The free tier runs out quickly on real projects. Spec mode requests ($0.20 per credit) burn through the allowance faster than vibe mode ($0.04). For serious use, the Pro plan is effectively required.

One notable context: Amazon Q Developer — AWS's previous AI coding assistant — closed new signups on May 15, 2026. Kiro is the replacement. If you were an Amazon Q user, Kiro is where AWS is pointing you.

Who Should Use Kiro?

Use Kiro if:

  • You are building complex features where design mistakes cost hours of rework
  • You work on team projects where structured documentation matters
  • You are already in the AWS ecosystem and want tight Bedrock integration
  • You want an AI tool that slows down to think before it acts

Think twice if:

  • You want the fastest possible path from idea to code — Cursor is better for pure speed
  • You are building simple, well-scoped tools — the spec overhead is friction you do not need
  • You have no coding background — Kiro is built for developers, not complete beginners

The Bottom Line

Kiro is Amazon's answer to a genuine problem with how AI coding tools work today: they are fast at generating code and slow at generating good code. The spec-driven approach is a real attempt to fix that — by treating the plan as a first-class deliverable rather than something you figure out while debugging.

Whether that trade-off is worth it depends entirely on what you are building. For complex, multi-step engineering work on production systems, Kiro's approach makes sense. For rapid prototyping and quick iteration, Cursor remains the faster choice.

What is clear is that Kiro has a distinct point of view on how AI-assisted development should work — and in a market full of tools that are increasingly hard to tell apart, that is worth paying attention to.

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