---
title: "Spec-Driven Development With Kiro.dev"
description: "Adapt React apps for TV with predictable AI. Amazon's Eric Fahsl demos Kiro.dev, a spec-driven assistant that solves complex TV UI challenges like D-pad navigation and focus management."
url: https://www.callstack.com/events/spec-driven-development-with-kiro-dev
updated: 2026-10-24T08:39:22.356Z
---

# Spec-Driven Development With Kiro.dev

Adapt React apps for TV with predictable AI. Amazon's Eric Fahsl demos Kiro.dev, a spec-driven assistant that solves complex TV UI challenges like D-pad navigation and focus management.

_Talk · 9/2/2025 · Wroclaw, Poland · Recording: 18:00 · Category: AI_

Organizer: AI Meetup

Speakers: Eric Fahsl (Principal Product Manager @ Amazon)

[Watch the recording](https://www.youtube.com/watch?v=ilFdh17hKic)

Your React app runs smoothly on phones, but the living room is a completely different world. TVs are slower than phones, and adapting for a remote control introduces complex challenges like focus management and replacing touch-and-drag interactions. How can we make the non-deterministic nature of AI coding assistants more predictable to solve these problems effectively?

In this talk, Eric Fahsl, Principal Product Manager at Amazon, shows how Kiro.dev, a new AI assistant from Amazon, helps adapt a mobile React 19 and Three.js app for the TV screen. He'll showcase Kiro's unique "spec mode," a process that turns a single prompt into structured requirements, design documents, and actionable tasks to bring predictability and power to your development workflow.

What you'll discover:

- **The spec-driven process:** See how Kiro turns a prompt into three distinct phases, Requirements, Design, and Tasks, to create a clear plan of record for AI-driven development.
- **Solving TV-specific challenges:** Learn techniques for handling performance tiering, focus management, D-pad navigation, and adapting interactive components for the 10-foot UI.
- **Making AI predictable:** Discover how to use Kiro's "Steering Documents" to enforce project architecture and hooks to automate tasks like running tests, making AI a more reliable partner.
- **Iterating on a plan:** Watch how an existing spec can be modified mid-project to refine features, like changing a zoom mechanic, without losing context.