This content originally appeared on DEV Community and was authored by Emmanuel Ogheneovo
I Built TutorBot with Kiro: An AI-Powered Study Tool for Students and Self-Learners
Participating in the Kiro Hackathon pushed me to take AI-enhanced learning seriously — and build something real. What came out of it was TutorBot, a personalized AI tutor that helps anyone learn anything through lessons, quizzes, flashcards, and summaries — all generated by AI.
In this blog post, I’ll walk you through how Kiro helped me build this app smarter and faster — and how you can do it too.
What Is TutorBot?
TutorBot is a full-stack educational web app that lets users:
Type any topic (e.g. React Hooks, Photosynthesis)
Get back:
AI-generated interactive lessons
Quizzes (MCQs and short answers)
Flashcards
PDF summaries for offline learning
Multiple export formats (CSV, Anki, JSON)
It’s perfect for students, bootcampers, or lifelong learners.
How Kiro Changed My Development Approach
Kiro made a huge difference in how I structured my code and shipped faster:
Spec-Driven Development
I used Kiro’s .kiro/specs/ to define my API behavior clearly before writing a single line of backend code. This helped me stay consistent and avoid messy endpoints.
Agent Hooks
Kiro’s agent hooks automated things I usually waste time on:
Auto PDF generation from lesson content
Flashcard exporting to multiple formats
Unit test generation for my API routes
Steering Rules
I enforced clean TypeScript practices using Kiro’s .kiro/steering/ — it kept my components modular and well-documented.
Backend Spec
Kiro helped me define and validate JSON responses from OpenAI, avoiding broken data or confusing bugs during development.
Tech Stack
Frontend: Next.js 14, TypeScript, Tailwind CSS
Backend: Next.js API Routes + GroqCloud
PDF: pdf-lib
Syntax Highlighting: PrismJS
Kiro: Agent hooks, specs, and structured AI development
This content originally appeared on DEV Community and was authored by Emmanuel Ogheneovo