Summary
AI Search provides a comprehensive setup and demonstration guide for Kimi K3, Moonshot AI’s 2.8 trillion parameter open-source model, showing how to use it through Kimiko Code — the model’s native agentic development environment — integrated as a VS Code extension. Rather than testing the chat interface, the video focuses on K3 as an autonomous coding agent capable of managing multi-file projects, running persistent sessions, and self-correcting when outputs don’t work as intended.
The demonstrations escalate in complexity: a liquid splash physics simulator with adjustable gravity, viscosity, and webcam hand-tracking built entirely from scratch without external libraries; a procedurally generated 3D shooter game using Three.js with a mecha warrior protagonist; and a fully playable grand piano with auto-generated Für Elise accompaniment. Each task runs through Kimiko Code, which autonomously launches a browser, takes screenshots to verify output, identifies failures, and iterates until the result works — a workflow the video frames as central to how frontier models should be used.
On cost, the channel notes K3’s pricing sits at roughly Sonnet-level rates while delivering output competitive with Fable 5 on creative coding tasks, with the video showing a piano demo consuming approximately 400 input tokens and 5,000 output tokens. For developers looking to get started, the video walks through Kimiko extension installation in VS Code, project setup, and model/thinking mode selection, making it a practical onboarding resource alongside the capability showcase.
📺 Source: AI Search · Published July 17, 2026
🏷️ Format: Tutorial Demo
