Agentic engineering, coding taste, and research insights from building Command Code.
Full-stack engineer Sivaram Pandariganthan burned through 527M tokens on DeepSeek V4 Flash for 20 cents using Command Code's tool call repairs, cache-friendly sessions, and vision tool.
Evan uses Command Code for agents, evals, and data work. The taste feature learned to distinguish between his engineering process and production data lake workstreams, even where they overlap.
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.