I just finished building FrankenStack for the Kiroween hackathon, and honestly… Kiro completely flipped my entire dev workflow on its head.
**
The Problem I Was Solving
**
API integration sucks.
There, I said it.
Every time I need to connect two different APIs—say Stripe webhooks → Shopify GraphQL—I end up writing hundreds of lines of glue code.
Field mappings
Error handling
Retry logic
Authentication
Boilerplate hell
Last month it took me 4 hours to hand-roll one adapter. I found 9 bugs during testing. Pain.
I kept thinking:
“There has to be a better way.”
Enter Kiro
When the hackathon dropped, I thought Kiro was just another AI code assistant.
I was so wrong.
Kiro isn’t about generating code…
It’s about generating systems.
It forces you to think in specs, architecture, and clarity before you even touch code.
**
- Specs Changed How I Think About Code**
Before Kiro:
Jump straight into coding → debug later → pray.
After Kiro:
Specs first → clear structure → flawless generation.
Here’s an actual spec I wrote:
adapter:
name: "REST to GraphQL Adapter"
code_structure:
required_components:
- "Express.js endpoint handler"
- "Data transformation logic"
- "GraphQL client"
- "Error handling"
generation_instructions:
for_kiro: |
When generating code:
1. READ user's description
2. IDENTIFY REST structure
3. GENERATE field mappings
4. INCLUDE comprehensive error handling
It took 30 minutes to write…
And saved hours of debugging.
The spec becomes the blueprint, documentation, and quality gate.
2. Vibe Coding Is Actually Magical
I gave Kiro:
“Generate a REST-to-GraphQL adapter that converts Stripe payment webhooks to Shopify order creation. Include retry logic and error handling.”
60 seconds later I got:
Error classes
Retry with exponential backoff
Field mapping
GraphQL client
Fully typed, structured code
Zero bugs
What normally takes me 4 hours came out in under a minute.
3. Steering Docs = Guaranteed Consistency
I wrote a simple rule:
Error Handling Pattern
All errors must return this structure:
{
success: false,
error: {
type: error.constructor.name,
message: error.message
}
}
Now every generated file follows this pattern automatically.
Like having an AI junior dev who actually listens.
4. Agent Hooks Automate the Boring Stuff
I created a hook:
hook:
name: "new-adapter"
command: "kiro new-adapter --source REST --target GraphQL"
actions:
- Create spec file
- Create template file
- Create test file
- Update service references
Before: 30 minutes of manual scaffolding
After: 30 seconds
The Results
Time Saved
Task Manual With Kiro Savings
Write adapter 4 hours 10 seconds 99.9%
Debugging 1 hour 0 100%
Consistency 30 minutes 0 100%
Bugs
Manual: 9
Kiro: 0
Consistency
Manual: Slight variations
Kiro: Perfectly consistent patterns
What Changed in My Workflow
Before:
Think about feature
Start coding immediately
Fix bugs
Maybe refactor
Documentation = “later”
After:
Write spec
Generate
Review + modify 5%
Documentation included
Repeat with consistency
The Aha Moment
I realized something huge:
Kiro isn’t replacing me — it’s amplifying me.
I’m not writing less code.
I’m writing better architecture.
I’m debugging less.
I’m shipping faster.
Kiro handles syntax.
I handle systems.
Try FrankenStack
Live Demo: https://frontend-aefvhik9b-kingosolos-projects.vercel.app
Source Code: https://github.com/KingoSolo/frankenstack/blob/main/README.md
Video Demo: https://youtu.be/k4tNwnx_hvA?si=NfJERXgOrUYlVp21
Generate an API adapter in 10 seconds. Seriously.
Tips for Anyone Starting with Kiro
Always start with specs.
Iterate on steering docs.
Review generated code like a PR.
Document everything—Kiro uses it.
Let AI handle boring work.
Final Thoughts
Before:
4 hours per adapter, 9 bugs, inconsistencies.
After:
10 seconds per adapter, zero bugs, perfect consistency.
AI-assisted coding isn’t the future —
It’s the standard. Right now.
Built for Kiroween Hackathon 2024
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