How to Keep Amazon Kiro Specs in Sync as a Project Grows
Specs only help if they stay current. Here is how to maintain Amazon Kiro specs across sprints so they keep steering the code instead of…
Spec-driven AI IDE that turns plain-language requirements into working code
Amazon Kiro is an AI coding IDE from AWS that writes a spec and task list before touching code, then an agent implements it. It runs on Windows, macOS and Linux, has a free tier, and paid plans start at $19/month.
Kiro is Amazon’s answer to Cursor and Windsurf, but built around one opinion: you should agree on what you’re building before an agent writes a single line. The IDE looks like a fork of VS Code, so extensions and keybindings mostly carry over.
The difference shows up in the workflow. Instead of dumping a prompt into a chat box, you describe a feature and Kiro drafts a requirements.md, a design.md, and a tasks.md you can edit. Agents then pick up those tasks and open pull requests against them.
The spec-first loop is genuinely useful on greenfield projects. You catch scope problems on page one instead of after 400 lines of agent code. Hook support is the sleeper feature: wiring “on task complete, run pytest” removes a manual step most agent tools still leave to you.
On tiny edits it’s overkill. Asking Kiro to rename a variable means waiting for spec scaffolding you didn’t want. For quick one-file fixes, plain autocomplete in VS Code is faster.