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Mahinur Rahman
Mahinur Rahman

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Introducing Kiro – An Agentic AI IDE That Thinks Like a Developer

πŸ‘‹ Hey folks,

I'm Sarvar, a Cloud Architect with a strong background in AWS, Azure, DevOps, DataOps, and Generative AI. Over the years, I've had the opportunity to design and deliver scalable, cloud-native solutions that solve real-world business problems. This article kicks off a series where I explore the intersection of AI and developer productivity β€” starting with an exciting new tool from AWS: Kiro.


πŸš€ What Is Kiro?

Kiro is an experimental, AI-powered IDE by AWS β€” but it's not just another autocomplete assistant. It's agentic, meaning it doesn't just generate code line-by-line. Instead, Kiro understands your goals, analyzes your codebase, and autonomously makes decisions β€” much like a junior engineer on your team.

Kiro is built to work alongside you:

  • Understanding your intent
  • Navigating and modifying files
  • Explaining existing code
  • Debugging intelligently
  • Executing complex tasks step-by-step

🧠 Kiro vs GitHub Copilot

While GitHub Copilot focuses on token-level predictions (autocomplete), Kiro takes it several steps further.

Feature GitHub Copilot Kiro
Code Completion βœ… βœ…
Multi-file Understanding ❌ βœ…
Goal-Oriented Tasks ❌ βœ…
Debugging & Error Tracing ❌ βœ…
Agentic Reasoning ❌ βœ…
Transparent Edits ❌ βœ…

Kiro is not just reactive β€” it’s proactive. It reasons through your request, plans its actions, and applies changes with transparency.


πŸ› οΈ What Can Kiro Do?

Here are a few standout capabilities:

  • πŸ”§ Code Generation & Refactoring: Write, refactor, or extend code across multiple files.
  • 🧩 Architecture Explanation: Get high-level overviews or function-level insights.
  • 🐞 Debug with Context: Paste logs or error messages and Kiro will trace the root cause.
  • 🎨 Frontend & Backend Edits: Modify UI logic, APIs, or business logic in one go.
  • πŸ” Follow-up Tasks: Chain tasks naturally like a conversation.
  • 🧠 Integrate Open-Source Agents: Extend Kiro using the MCP protocol.

πŸ” Under the Hood – How Kiro Works

Kiro is designed around a few core principles:

  • Agentic Reasoning Loop: It plans, acts, evaluates, and iterates intelligently.
  • Local Context Awareness: Tightly integrates with your dev environment via MCP and LSP.
  • Privacy & Security First: All actions are local by default β€” no code is shared externally unless you choose to.
  • Amazon Q Integration: Kiro supports Amazon Q CLI and custom servers for even more advanced analysis.

πŸ’‘ Why Developers Should Care

Modern dev work is full of context-switching β€” reading docs, jumping between files, and deciphering legacy code. Kiro reduces that mental load and keeps you focused on the β€œwhat”, not the β€œhow”.

Perfect for:

  • 🧭 Navigating large monorepos
  • βš™οΈ Automating routine tasks
  • πŸš€ Onboarding into unfamiliar codebases
  • βœ… Reviewing changes before applying

⚠️ Limitations (for Now)

Kiro is currently in preview. Here’s what to know:

  • πŸ§ͺ Still experimental
  • πŸ–₯️ Requires setup via MCP environment
  • 🐍 Supports Python and JavaScript, more languages on the way
  • πŸ” Only works locally (great for security-conscious devs)

πŸ› οΈ Getting Started with Kiro

βš™οΈ Setup steps below are for Windows, but similar for macOS and Linux.

1. Download the Installer

  • Visit the official Kiro page
  • Choose your OS and download the installer
  • Run and complete the setup

2. Sign In with AWS Builder ID

  • Launch Kiro
  • Choose AWS Builder ID to sign in
  • Unlock Amazon Q integration for enhanced AI assistance

3. Link to Your Local Project

  • Connect Kiro to your local repo
  • Let it scan the codebase and start delegating tasks like:
    • Add login functionality
    • Fix bug in productController
    • Explain data flow in cart module

πŸ“Œ Final Thoughts

Kiro is a paradigm shift β€” from AI as a helper to AI as a teammate.

Whether you're building features, fixing bugs, or understanding legacy systems, Kiro accelerates your work while keeping you in control. It’s still early, but the potential is game-changing for developer workflows.

Give it a spin, and let me know what use cases excite you the most! πŸ™Œ


πŸ“« Follow me for more deep dives into AWS, AI, and cloud-native development. Let’s build the future together.

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