The Problem With Most AI Coding Tools
You’ve probably tried AI coding assistants. You type a prompt, get a wall of code, paste it in, and spend the next hour debugging why it doesn’t quite work. The AI doesn’t know your project structure, your conventions, or what you built yesterday. Every conversation starts from scratch.
That’s the gap Kiro fills.
So What Is Kiro?
Kiro is an agentic IDE built by AWS. It’s based on VS Code (so it feels familiar from day one), but with a fundamentally different approach to AI assistance. Instead of just generating code from prompts, Kiro thinks in terms of requirements, design, and tasks — then works through them methodically.
The key idea: Kiro doesn’t just write code. It plans first, then builds.
The Features That Matter
Specs — Think Before You Build
This is Kiro’s standout feature. When you start a new feature, Kiro helps you create a “spec” — a structured document that breaks your idea into:
- Requirements — what exactly needs to happen
- Design — how it should be built (components, data flow, APIs)
- Tasks — a checklist of implementation steps
You iterate on each stage with the agent before any code gets written. This means fewer rewrites, fewer “wait, that’s not what I meant” moments, and a clear trail of decisions you can revisit later.
Steering — Persistent Project Knowledge
Steering files are Markdown documents in your project that teach Kiro about your codebase. Your coding conventions, tech stack, deployment process, design patterns — write them once, and Kiro follows them in every conversation.
No more repeating “we use Tailwind, not CSS modules” in every chat.
Hooks — Automate the Boring Stuff
Hooks are event-driven automations. When you save a file, Kiro can automatically run your linter. When a task completes, it can run your test suite. When you submit a prompt, it can inject additional context.
Think of them as GitHub Actions, but for your IDE — running locally, in real time.
Autopilot and Supervised Modes
Kiro can work in two modes:
- Autopilot — the agent makes changes autonomously, great for well-defined tasks
- Supervised — you review each change before it’s applied, ideal for learning or sensitive code
Custom Agents and MCP
You can create specialised agents for different parts of your stack — a frontend agent, a backend agent, an infrastructure agent — each with its own tools, permissions, and context. MCP (Model Context Protocol) lets agents connect to external services like databases, APIs, and documentation servers.
Who Is Kiro For?
Students
If you’re learning to code, Kiro is genuinely useful — not as a crutch, but as a mentor. The spec workflow forces you to think about requirements and design before jumping into code. That’s a habit most developers wish they’d built earlier.
Use supervised mode. Read what the agent suggests. Ask it why. You’ll learn faster than copying from Stack Overflow.
A few ideas to try:
- Build a portfolio site and let Kiro help you structure the components
- Create a REST API and use specs to plan your endpoints before writing them
- Use steering files to document your learning — what patterns you’re using and why
Developers and Side-Project Builders
This is where Kiro really shines. You’ve got an idea for a side project but limited time. Kiro’s spec workflow lets you go from “I want a booking system” to a structured plan with tasks in minutes. Then autopilot mode can work through the implementation while you review.
The hooks system is a game-changer for solo developers. Set up auto-linting, auto-testing, and documentation sync — the kind of CI/CD discipline that’s hard to maintain alone.
Professional Teams
For teams, steering files become your living style guide. New team members get consistent AI assistance from day one because the conventions are baked into the project. Custom agents can enforce boundaries — a frontend agent that can’t touch backend code, a reviewer agent that’s read-only.
The spec workflow also creates natural review points. Instead of reviewing a 500-line PR and trying to reverse-engineer the intent, you can review the requirements and design first, then verify the implementation matches.
Getting Started
- Download Kiro from kiro.dev
- Open a project (or start a new one)
- Try creating a spec — describe a feature you want to build
- Add a steering file with your project’s conventions
- Set up a hook to auto-lint on save
It’s free during the preview period and runs on Mac, Windows, and Linux. If you’re already using VS Code, the transition is seamless — your extensions, keybindings, and themes carry over.
The Bigger Picture
The shift from “AI autocomplete” to “AI agent that plans and builds” is significant. Kiro isn’t just predicting the next line of code — it’s reasoning about your project as a whole. Specs give it structure. Steering gives it memory. Hooks give it automation.
Whether you’re a student building your first app, a developer shipping a side project, or a team scaling a production system — having an AI that thinks before it codes changes the workflow entirely.
Give it a try. Start with a spec. You might be surprised how much clearer your own thinking becomes when you have to explain what you want to build before building it.