


AICodeKing: "The harness matters more than the model"
YouTuber AICodeKing tested Command Code's harness against open models like GLM 5.2 and concluded the gap between open and closed models is smaller than the gap between good and bad harnesses.




























































Agentic engineering, coding taste, and research insights from building Command Code.



YouTuber AICodeKing tested Command Code's harness against open models like GLM 5.2 and concluded the gap between open and closed models is smaller than the gap between good and bad harnesses.



JeffersonNunn.eth ran 6.9B tokens across 83,022 agent runs on Command Code for about $156 in three weeks, keeping 16 windows going every day, and still had spend left.



vel (@Velcrafting) ran 4.8B tokens in May across a $281 AI stack. Command Code was the $1 line item, tagged "Insane ROI" next to $200 of OpenAI and $40 of grok.



Yzn (@yazanbruv) ran 500M+ tokens on DeepSeek V4 through Command Code's $1 plan and shipped a fully functional Android app, now in review, for less than a dollar.



Austin Ginder, a heavy $200/mo Claude Code user, ran 21.5M tokens through DeepSeek Pro on Command Code for 75 cents — and started moving his Opus 4.7 work to it.