Uploaded October 2025 | Updated September 2026, 20 hours ago
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 ( https://x.com/efahsl ), 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.
See you at other Callstack events ✨ clstk.com/48iIDUZ
Check out more AI content from Callstack 📚 clstk.com/4nd36yz
Follow Callstack on X 🐦 https://x.com/callstackio
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 ( https://x.com/efahsl ), 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.
See you at other Callstack events ✨ clstk.com/48iIDUZ
Check out more AI content from Callstack 📚 clstk.com/4nd36yz
Follow Callstack on X 🐦 https://x.com/callstackio
