From Prototype to Production: How Amazon’s Kiro Turns AI-Generated Code into Maintainable Software
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A plain-language guide for junior college graduates who want to ship AI-built apps without the usual chaos.
1. The Problem We All Face
Picture the last time you asked an AI assistant to “build a small e-commerce site.”
You typed a prompt, waited a few seconds, and—magic!—a working application appeared in your browser. It felt great … until you tried to:
-
Explain what the code actually does to your teammate -
Extend the feature set without breaking everything -
Deploy to production without crossing your fingers
The truth is that AI assistants are excellent at getting started and poor at keeping going. They leave behind undocumented assumptions, fuzzy requirements, and zero tests. Amazon’s new IDE, Kiro, was created to close that gap.
2. Meet Kiro in One Minute
What | Why It Matters |
---|---|
AI-first IDE | Built on Code OSS (the open-source heart of VS Code), so your extensions and shortcuts still work. |
Spec-driven workflow | Turns loose ideas into structured requirements, designs, and tasks before anyone writes code. |
Hooks | Event-driven automations that run tests, update docs, or scan for secrets every time you hit Save. |
Free during preview | Mac, Windows, and Linux installers are ready today. No credit card. |
3. The Core Idea: Spec-Driven Development
Traditional flow:
idea → code → hope → refactor → hope again
Kiro flow:
idea → spec → design → tasks → code → hooks → production
A spec is a living document that captures what the software must do and why.
A hook is a small script that enforces how the code should behave while you work.
The rest of this article walks through one complete example—adding a product-review system to an existing craft marketplace—so you can see every moving part in context.
4. Example Project: Adding Reviews to a Craft Marketplace
We start with a simple web store that already lists handmade goods. The goal: let buyers leave star ratings and text reviews for any product.
4.1 Step 1—From Prompt to Requirements
Inside Kiro you type:
Add a review system for products
Kiro responds with a requirements spec that contains:
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User stories
-
As a buyer, I want to see all reviews for a product. -
As a buyer, I want to create a review with a 1–5 star rating and text comment. -
As a buyer, I want to filter reviews by rating. -
As an admin, I want to moderate inappropriate content.
-
-
Acceptance criteria in EARS notation
IF the review text contains profanity, THEN the system SHALL flag it for moderation. IF the buyer has already reviewed the product, THEN the system SHALL reject duplicate submissions.
The spec is stored as Markdown in .kiro/specs/product-review.md
. You can edit it like any other file; Kiro watches for changes and keeps downstream artifacts in sync.
4.2 Step 2—From Requirements to Technical Design
Kiro now analyzes your existing codebase and produces:
Artifact | Purpose | Sample Output |
---|---|---|
Data-flow diagram | Shows how data moves from React form → API → database | Mermaid diagram in .kiro/diagrams/ |
TypeScript interfaces | Type-safe contracts between layers | `interface Review { id: string; productId: string; rating: 1 |
Database schema | Exact SQL DDL you can paste into Postgres | CREATE TABLE reviews (id UUID PRIMARY KEY, product_id UUID REFERENCES products(id), rating SMALLINT CHECK (rating BETWEEN 1 AND 5), …) |
REST endpoints | OpenAPI fragment for /products/:id/reviews |
YAML file ready for Swagger |
You review the design, tweak anything you dislike, and click Approve. Kiro locks the spec version so that later code changes can be traced back to a known design baseline.
4.3 Step 3—From Design to Executable Tasks
Kiro decomposes the approved design into tasks and sub-tasks that respect dependency order.
Example task list (excerpt):
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Database
-
Create reviews
table migration -
Seed sample data for local testing
-
-
Backend
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Implement POST /products/:id/reviews
endpoint -
Write unit tests (Jest) -
Write integration tests (Supertest + in-memory DB)
-
-
Frontend
-
Build <StarRating>
component with accessibility attributes -
Add optimistic UI update while request is in flight -
Ensure mobile-first responsive layout
-
Each task carries:
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A reference back to the original user story -
A definition of done (tests, loading states, responsive checks) -
An estimated effort line (Kiro guesses; you override if needed)
You can run tasks one by one or queue the entire batch. A progress indicator shows live logs from the underlying agent.
4.4 Step 4—Keep Quality High with Hooks
Before you commit, you usually ask yourself:
-
Did I break any existing tests? -
Is the README still accurate? -
Are there any hard-coded secrets?
Kiro hooks automate those checks.
How to Create a Hook
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Open the Hooks panel. -
Describe what you want in plain English: Whenever I save a new React component, generate a matching test file and check that the component has only one responsibility.
-
Kiro translates the sentence into a system prompt and asks which folders to watch. -
Save the hook. It is now stored in .kiro/hooks/
and executed by the agent every time the watched files change.
Real-World Hook Examples
Trigger | Automated Action |
---|---|
Save .tsx file |
Create or update Component.test.tsx with basic render test |
Modify API route | Regenerate OpenAPI YAML and commit diff to docs/api/ |
Pre-commit | Scan staged files with detect-secrets ; block commit if keys found |
Hooks are versioned with Git, so your entire team inherits the same quality gates.
5. Installing Kiro Today (No Fluff Guide)
5.1 System Requirements
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OS: macOS 10.15+, Windows 10+, or any recent Linux distro -
Disk: 400 MB free for the IDE + your project -
Network: Online for AI calls; offline mode keeps editing but disables new generations
5.2 Installation Steps
-
Visit kiro.dev/downloads -
Choose your platform, download, double-click the installer. -
Launch Kiro and sign in with Google, GitHub, GitLab, or email. -
Clone the official tutorial repo from the Welcome screen. -
Follow the Learn-by-Playing walkthrough; it takes 10 minutes and covers the full spec → deployment cycle.
5.3 Migrating from VS Code
Kiro is Code OSS under the hood. Your settings.json
, keybindings, and Open VSX extensions copy over automatically.
If you already use Cursor, Windsurf, or GitHub Copilot, disable them for the Kiro workspace to avoid conflicting AI suggestions.
6. Beyond the Tutorial: Everyday Use Cases
6.1 Refactoring Legacy Code
Import an existing repository, generate a fresh spec from the current behavior, then ask Kiro to propose refactors. The diff viewer highlights which stories will break if you change a function signature.
6.2 Team Onboarding
New hires clone the repo and run kiro onboard
. They see:
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A step-by-step task list -
Inline videos showing how the feature was built -
Living docs that update when code changes
No more “read the wiki” that was last updated six months ago.
6.3 Compliance & Audits
Financial and healthcare teams can attach policy hooks:
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“Every SQL query must use parameterized statements.” -
“All PII fields must be encrypted at rest.”
Hooks fail the build if any commit violates the rule, creating an automatic audit trail.
7. Roadmap: What Amazon Has Shared
Kiro’s public goals:
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Model Context Protocol (MCP) connectors for custom LLMs -
Steering rules to guide agent behavior at the repo level -
Multi-language SDKs for Python, Go, and Java backends -
Self-hosted agents for enterprises with strict data residency
All roadmap items are tracked in the open Discord server.
8. Common Questions (FAQ)
Q1: Is my code sent to Amazon?
A: During preview, AI calls run on Amazon Bedrock. A future release will allow on-prem inference.
Q2: Can I use Kiro offline?
A: Editing and Git work offline. Spec generation and hooks require cloud access today.
Q3: How large can a spec be?
A: Tested up to 500 user stories per spec without noticeable slowdown.
Q4: Does Kiro replace product managers?
A: No. It turns your ideas into structured specs faster, but you still decide scope and priority.
Q5: What happens when the preview ends?
A: Pricing is not announced. Amazon states that hobby projects will always have a free tier.
9. One-Page Cheat Sheet
I Want To | Kiro Feature | Where to Find |
---|---|---|
Describe a new feature | Requirements spec | .kiro/specs/ |
See data flow | Design diagram | .kiro/diagrams/ |
Know what to code next | Task list | Sidebar → Tasks |
Auto-update tests | Hook template | .kiro/hooks/ |
Install the IDE | Download page | kiro.dev/downloads |
10. Final Thoughts
AI coding tools are shifting from “write a few lines” to “own the entire SDLC.” Kiro’s spec-driven workflow and event-driven hooks give you the best of both worlds:
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The speed of AI-assisted prototyping -
The clarity of traditional software engineering
If you are tired of apologizing for undocumented prototypes, install Kiro, walk through the 10-minute tutorial, and experience the difference firsthand.