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PRIYADARSHINI R
PRIYADARSHINI R

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Building EduCollab: How Kiro’s Multi-Feature Approach Revolutionized My Development Workflow

#kiro #supabase #react #hackathon 
---
title: "Building EduCollab: How Kiro’s Multi-Feature Approach Revolutionized My Development Workflow"
published: false
description: "How I built a production-ready educational collaboration platform in days using Kiro’s specs, hooks, steering docs, and conversational coding."
tags: kiro, hackathon, react, supabase, ai
series: "Kiroween 2025"
---
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For the Kiroween hackathon, I set out to build EduCollab — a comprehensive educational collaboration platform that blends the best of Slack, Discord, and project-management tools. The real discovery was how Kiro’s specs, hooks, steering docs, and chat combine into a development workflow that feels smooth, predictable, and surprisingly fast.

The Challenge: Building a Production-Ready Platform in Days

EduCollab needed to support:

  • Real-time collaboration
  • Role-based permissions (Owner, Team Lead, Member)
  • File uploads and review workflows
  • Analytics and gamification
  • 50+ React components
  • 22 database migrations
  • Strong RLS policies for security

A true “Frankenstein” project — stitching many moving parts into one cohesive platform.

My Multi-Feature Kiro Strategy

Specs for Complex Features

I wrote six complete specs. The biggest, workspace-task-management-enhancements, included 15 detailed tasks. It generated:

- Database migrations with RLS
- React components with tests
- Service layer classes
- Documentation
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Specs forced clarity before coding and prevented last-minute rewrites.

Hooks for Automation

Three small but powerful hooks handled repetitive tasks automatically, such as linting on save:

{
  "name": "Lint on Save",
  "trigger": { "type": "onSave", "filePattern": "src/**/*.{js,jsx}" },
  "actions": [{ "type": "runCommand", "command": "npm run lint" }]
}
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Hooks reduced debugging time and caught errors instantly.

Steering Docs for Consistency

Three steering documents acted like automatic reviewers:

  • React best practices
  • Supabase patterns with RLS
  • Code quality + documentation rules

Every file Kiro generated followed these guidelines, keeping all 50+ components consistent.

Chat for Speed

Conversational coding was perfect for rapid prototyping, bug fixing, and quick experiments.
For example:

“Create a statistics service with completion rates, efficiency scores, and achievement badges.”

Kiro generated a complete StatisticsService.js with caching, error handling, and reusable methods.

The Workflow That Changed Everything

The final workflow:

  1. Start features using specs
  2. Let steering docs enforce best practices
  3. Let hooks automate repetitive checks
  4. Switch to chat for fast fixes and exploration

All four features boosted each other to create a smooth, efficient rhythm.

Real Results

In a few days, EduCollab reached production-level quality:

  • 50+ React components
  • 22 database migrations
  • Real-time chat + notifications
  • Role-based permissions with 15+ access rules
  • Analytics dashboard
  • Gamification system
  • 30+ test files
  • Complete documentation
  • Hierarchical review workflow

Key Learnings

Specs vs Chat

Specs shine when building large, multi-step systems.
Chat shines when making small tweaks or generating single files.

Best Use of Specs Best Use of Chat
Major features Bug fixes
New architecture UI adjustments
Multi-table design Quick prototyping
Full workflows Utility functions

Steering Docs Make Code Review Automatic

Before steering docs, I manually reviewed code for patterns and security.
After steering docs, Kiro did it automatically in every generated file.

From my supabase-patterns.md:

Always use RLS policies  
Always clean up real-time listeners  
Always use parameterized queries
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Hooks Build Fast Feedback Loops

My test-on-save and lint-on-save hooks prevented issues before they reached the browser. Small automations made a big difference.

The Frankenstein Effect

Kiro’s features fit together unexpectedly well:

  • Specs gave structure
  • Hooks automated quality checks
  • Steering docs enforced consistency
  • Chat filled creative and rapid needs

Together, they created a workflow far stronger than using any single feature alone.

Specific Examples from EduCollab

Task Management System

Built from a full spec with:

  • Eight tables
  • RLS for three roles
  • Hierarchical task approvals
  • 15 sub-tasks
  • React UI components
  • Tests + documentation

Completed in two days.

Real-time Chat

Steering docs guided Kiro to produce:

  • Clean subscription handling
  • Proper unmount cleanup
  • Error handling
  • Safe message formatting

Reliable from day one.

File Upload System

Hooks validated:

  • File types
  • Size limits
  • Storage paths
  • Permission boundaries

Caught multiple security issues automatically.

Try This Approach

Start with one feature. Add steering docs early.
Create hooks for your pain points.
Use specs and chat together instead of choosing one.

The Numbers

  • 15,000+ lines of code
  • ~40 hours saved
  • 20+ bugs caught by hooks
  • Six completed specs
  • 22 database migrations

The Future of AI-Assisted Development

AI isn’t replacing developers — it’s amplifying them.
Kiro adapts to real-world development rhythms: sometimes structured, sometimes exploratory, always assisted.

What’s Next for EduCollab?

  • React Native app
  • AI-driven task recommendations
  • ML-based analytics
  • LMS integrations
  • Real-time collaborative documents

EduCollab continues to grow with the foundation built during Kiroween.

GitHub: https://github.com/JustAStuff/EduCollab-The-Student-management-system
Live Demo: https://edu-collab-the-student-management-s.vercel.app

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