Build a WebRTC P2P Video Chat App: AI Prompt Example

This prompt instructs an AI coding assistant to generate a fully functional peer-to-peer video chat application built on WebRTC. It covers the essential building blocks: capturing local and remote video streams, establishing a peer connection, and simulating a signaling server through a simple textarea-based offer/answer exchange. This approach is ideal for developers who want to learn WebRTC fundamentals without the overhead of setting up a dedicated signaling backend from scratch.

The generated code makes an excellent starting point for building real-time communication tools such as one-on-one video calls, remote interviews, or collaborative study sessions. Because the signaling simulation is kept intentionally simple, developers can easily swap it out for a WebSocket or Firebase-based solution as the project scales. Best paired with models like GPT-4o or Claude 3.5 Sonnet for detailed, well-commented output. Variations worth trying include adding text chat alongside the video feed, implementing TURN server support for NAT traversal, or extending the room UI to handle multiple participants.