Descriptions:
DeepSeek V4 Pro is a 1.6-trillion-parameter mixture-of-experts model with 49 billion activated parameters and a 1-million-token context window, and in this hands-on tutorial Fahd Mirza walks through integrating it with OpenClaw — the open-source agentic coding platform — on Ubuntu. The setup uses DeepSeek’s paid API (accessible for as little as $5–$10 in credits), and Mirza covers several non-obvious configuration steps: installing required VM packages that prevent silent OpenClaw failures, and manually specifying the model ID since DeepSeek V4 Pro is too new to appear in OpenClaw’s default model selector.
The real demonstration centers on a deliberately broken full-stack Kanban board application — a FastAPI backend with a drag-and-drop React frontend — containing five bugs planted across four files. None are obvious at first inspection. Given a single natural-language prompt, DeepSeek V4 Pro reads every file in the workspace, identifies all five bugs at their exact locations, applies fixes across both backend and frontend layers, and instructs the user on how to run the repaired application.
Mirza then verifies the fix by launching the backend and frontend in separate terminals and confirming the application runs correctly. The tutorial is a practical reference for developers looking to use DeepSeek V4 Pro as an agentic coding engine inside OpenClaw, particularly for complex multi-file debugging where the model’s long context window and reasoning depth matter most.
📺 Source: Fahd Mirza · Published April 24, 2026
🏷️ Format: Tutorial Demo
