Amazon’s New Kiro IDE Took Over My Brain: Brilliant and Brutal
Is Kiro the future of coding, or just another overhyped AI tool? After diving deep into Amazon’s spec-driven IDE, I have thoughts.
The Promise That Got Me Hooked
When Amazon quietly launched Kiro, their answer to GitHub Copilot, I’ll admit I was skeptical. Another AI coding tool? Really?
But then I read something that stopped me in my tracks: Kiro doesn’t just write code. It thinks, plans, and manages entire projects from start to finish.
This isn’t your typical “autocomplete on steroids” tool. Kiro positions itself as an “agentic IDE” essentially an AI project manager that happens to code. Intrigued (and slightly terrified), I dove in for a week of testing.
What I discovered was both revolutionary and maddening.
The Mind-Bending Kiro Experience: When AI Becomes Your PM
Wait, This Thing Actually Plans?
My first real “holy shit” moment came when I asked Kiro to build a simple task management app. Instead of immediately spitting out code like Copilot, it did something unprecedented:
It made me wait while it thought.
For 30 seconds, Kiro analyzed my request, then presented me with:
- A requirements
.mdwith user stories - A
design.mdoutlining the entire architecture - A
tasks.mda step-by-step implementation plan with 15 sequenced tasks
I stared at my screen, genuinely amazed. This wasn’t just code generation this was project planning. The kind of upfront work that separates professional software from weekend hacks.
The Good: When Kiro Feels Like Magic
Automatic Documentation That Actually Makes Sense
Remember the last time you properly documented your code? Yeah, me neither. Kiro doesn’t give you a choice—it documents everything. And here’s the kicker: the documentation is actually good.
Every decision gets explained. Every architectural choice gets justified. It’s like having that senior developer who actually reads the docs review your entire project.
Testing That Doesn’t Suck
Kiro generated unit tests, integration tests, loading states, mobile responsiveness checks, and accessibility requirements automatically. I watched it backfill hundreds of test cases I would have “gotten to eventually” (translation: never).
Agent Hooks: The Secret Weapon
This feature blew my mind. You can set up “hooks” that trigger when you save, create, or delete files. I configured one to automatically check new React components against the Single Responsibility Principle. Another one blocked me from committing API keys.
It’s like having a vigilant senior dev constantly watching over your shoulder in the best way possible.
The Frustrating Reality: Why I Wanted to Throw My Laptop
The “5000 Lines of Code” Problem
Here’s where things get weird. I asked Kiro to build a simple URL shortener basically a “Hello World” for web apps.
What I got back was 5,000 lines of code.
Five. Thousand. Lines.
For a URL shortener.
With TypeScript interfaces for everything, comprehensive error handling, database migrations, API documentation, Docker configurations, CI/CD pipelines, and enough unit tests to make a TDD evangelist weep with joy.
Was it well-architected? Absolutely. Was it complete overkill? Also absolutely.
The Planning vs. Reality Disconnect
This is where Kiro broke my heart. It would create these gorgeous, detailed plansm, architectural diagrams that belonged in a textbook, implementation strategies that made perfect sense.
Then it would fail to execute them.
I watched Kiro meticulously complete every task in its own plan, only to produce a React app that wouldn’t start. The terminal integration was buggy. Commands ran in wrong directories. The AI would confidently declare tasks “complete” while the code sat broken.
I felt less like a developer and more like a very confused project manager trying to debug someone else’s mess.
Performance Issues That Made Me Question My Life Choices
“Server overloaded.” Those two words haunted my testing experience. Kiro would work brilliantly for 20 minutes, then timeout for an hour. The public preview clearly wasn’t ready for the demand, turning what should have been quick iterations into exercises in patience.
The Identity Crisis: Am I Still a Developer?
From Code Monkey to AI Babysitter
Using Kiro fundamentally changed what my day looked like. Instead of writing functions and debugging syntax errors, I found myself:
- Reviewing architectural decisions I didn’t make
- Debugging code I didn’t write
- Managing an AI that sometimes got overwhelmed by its own complexity
- Translating requirements into prompts the AI could understand
One user on Reddit nailed it: “This makes me feel like I’m a PM, not an engineer.”
Is this empowering or soul-crushing? Honestly, I’m still figuring it out.
Kiro vs. The Competition: A Reality Check
GitHub Copilot: The Speed Demon
Copilot is like that friend who’s always ready to help move your couch. Need a function? Boom, here it is. Want to try something? Let’s iterate quickly.
Kiro is like hiring a consulting firm. It’ll give you a comprehensive strategy, detailed timelines, and professional deliverables. But don’t expect to move fast.
When Each Tool Shines
Use Copilot when:
- You need to move fast
- You’re prototyping or experimenting
- You want to stay in flow state
- You’re working on personal projects
Use Kiro when:
- You’re building something complex and long-term
- You work on a team that needs consistency
- You want to prevent technical debt upfront
- You can afford to move slower for better architecture
The Brutal Truth About AI-Powered Development
The Economics Don’t Add Up (Yet)
Kiro’s pricing is based on “spec requests” and “vibe requests” not exactly transparent.
That stung because it highlighted the core question: Does the time saved coding offset the time spent managing the AI?
Right now, for most projects, the answer is no.
The Learning Curve Is Real
Kiro requires you to learn an entirely new skill: prompt engineering for project management. You can’t just say “build me a thing.” You need to communicate context, constraints, and expectations clearly.
It’s like learning to be a technical project manager which, honestly, isn’t a bad skill to develop.
My Honest Recommendation: Should You Try Kiro?
For Individual Developers
Try it, but don’t depend on it.
Kiro is fascinating as a learning tool. It’ll teach you about proper project planning, documentation, and testing practices. Use it for side projects where you can afford the overhead.
But for urgent work or simple tasks? Stick with Copilot.
For Engineering Teams
Proceed with extreme caution.
The vision is compelling. Imagine enforcing code standards, generating documentation, and maintaining architectural consistency across your entire team automatically. That’s powerful.
But the current reality involves too much babysitting, too many performance issues, and too much risk for production work.
My advice: Start with a small, non-critical project. Let Kiro generate the initial architecture and boilerplate, then take over from there.
The Bottom Line: A Glimpse Into the Future (That’s Not Quite Ready)
Kiro represents Amazon’s bet on a fundamentally different future of software development. Instead of developers writing code, we become orchestrators managing AI agents that handle the implementation details.
Is this empowering? When it works, absolutely. Watching an AI generate comprehensive test suites and documentation feels like glimpsing the future.
Is this boring? Sometimes, painfully so. There’s something soul-crushing about debugging code you didn’t write, following a plan you didn’t create.
Is this ready? Not yet. The disconnect between Kiro’s ambitious planning and flawed execution makes it more frustrating than helpful for most real-world projects.
But here’s the thing, this is just the beginning. The core ideas behind Kiro, spec-driven development, automated best practices, AI project management. These will define the next generation of development tools.
Amazon isn’t just building a better code completion tool. They’re reimagining what it means to be a software developer in an AI-first world.
I’m not ready to hand over my keyboard just yet. But I’m definitely keeping an eye on where this is heading.
What This Means for You
Whether you’re a solo developer or leading an engineering team, the writing is on the wall: AI isn’t just going to autocomplete our code. It’s going to reshape how we think about building software.
The question isn’t whether tools like Kiro will succeed, it’s how quickly you’ll adapt when they do.
Start experimenting now. Learn to write better prompts. Practice thinking at the architectural level instead of the implementation level. The developers who thrive in the next decade will be the ones who learn to dance with AI, not fight it.
Just maybe wait for version 2.0 before betting your production systems on it.
Have you tried Kiro or other AI coding tools? I’d love to hear about your experience in the comments. What worked? What didn’t? Are you excited or terrified about the future of AI-assisted development?
Tools Mentioned in This Post:
- Kiro IDE – Amazon’s spec-driven AI IDE (kiro.dev)
- GitHub Copilot – Microsoft’s AI code completion tool
- OpenAI Codex – Task-based automation in cloud environments
- VS Code – The foundation Kiro builds upon
