Made this game in two prompts with Q4, Qwen 3.8 is amazing

Reddit r/LocalLLaMA News
ai-assisted-coding game-development prompt-engineering llama-cpp qwen quantization coding

Summary

A user created a simple game with just two prompts using the Qwen 3.8 AI model in Q4 quantization on llama.cpp with dual RTX 3060 GPUs, demonstrating impressive AI-assisted coding despite RAM limitations.

This took one prompt to build, and another follow up prompt to fix two issues (player got stuck with the bomb and broken enemies path-finding), this is only html, css and js, no external assets, all done by Qwen. Using UD-Q4_K_XL in llama.cpp with 128k context and k5_0/v4_1 quantized cache in 2x RTX 3060, Deepseek Harness, around 20 t/s average. The main issue i had wasnt the model but my system RAM (only 32gb), after each context compact i had to restart llama.cpp to release the RAM, but just sending a "continue" put it back on track and it finished the task beautifully.
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