Kiro
Visit Kiro →About Kiro
Kiro is an agentic IDE developed by Amazon Web Services, built around a spec-first development methodology. Rather than having AI generate code directly from open-ended prompts, Kiro requires developers to define structured specifications — product requirements, architecture decisions, and implementation tasks — before any code is written. This approach is designed to make AI-generated code more predictable, maintainable, and aligned with actual product goals.
Launched in May 2026 as a public preview, Kiro effectively replaces Amazon Q Developer as Amazon's primary AI coding product. The IDE is built on a VS Code-compatible foundation and supports all standard VS Code extensions, keybindings, and themes, making migration from VS Code or Cursor straightforward for existing users.
The core workflow in Kiro centers on three specification types: product requirements documents (PRDs), architecture specs, and task breakdowns. Developers write or review these specs with AI assistance, then Kiro's agent implements the code according to the approved spec. This reduces the common problem of AI-generated code that works but doesn't match what was actually needed.
Hooks is Kiro's automation layer: developers define triggers (file save, git commit, test run, deployment) and Kiro executes specified tasks automatically. Common uses include running tests on save, formatting on commit, or generating documentation after a deployment. Hooks run locally and are version-controlled alongside the codebase.
Kiro uses Amazon Bedrock as its AI backend, providing access to Claude, Amazon Nova, and other models. The current preview is free with no usage limits announced. Pricing for general availability has not been disclosed, but Amazon has indicated a freemium model similar to other AWS developer tools.
Kiro is the right choice for teams building complex products who want AI-generated code to stay aligned with product requirements, or for AWS-centric development environments where Bedrock and other AWS integrations provide workflow advantages.
- Spec-first methodology prevents AI code drift — code stays aligned with product requirements
- Hooks automation handles repetitive tasks (test, format, document) on configurable triggers
- Amazon Bedrock backend provides access to Claude, Nova, and other frontier models
- Full VS Code compatibility — extensions, keybindings, and themes all carry over
- Deep AWS integration for teams already in the Amazon ecosystem
- Spec overhead adds friction for small or exploratory tasks — heavier workflow than Cursor or Copilot
- Very new product (May 2026 preview) — expect bugs, missing features, and workflow changes
- AWS-centric design gives advantages mainly to teams using Amazon infrastructure
- No published pricing for general availability
- Smaller community and ecosystem compared to Cursor or VS Code + Copilot
Choose Kiro if…
- ✅ You're building a complex product where AI-generated code must stay aligned with requirements
- ✅ You want to automate repetitive dev tasks (testing, formatting, docs) via trigger-based Hooks
- ✅ Your team is invested in the AWS ecosystem and wants native Bedrock model access
- ✅ You currently use VS Code and want to try an agentic IDE without losing your setup
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