Submission by Taha Amin

RepoFM turns any public GitHub repository into an AI-generated podcast episode with artifacts, where 4 characters — Narrator, Skeptic, Fan, and Intern — debate, roast, and analyze the codebase. Users paste a repo URL, pick a vibe (Roast, Deep Dive, or Beginner Friendly), and get a multi-voice audio episode with live visual artifacts showing language breakdowns, file sizes, project structure, and security findings. Built for the ElevenLabs × Kiro Hackathon using ElevenLabs TTS (4 distinct voices via the Flash v2.5 model), Groq (Llama 3.3 70B for script generation), GitIngest for codebase ingestion, Next.js 14 frontend, and FastAPI backend. The entire project was spec-driven and built using Kiro IDE with its spec workflow, steering files, and agent-assisted development.