René's URL Explorer Experiment

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{"@context":"https://schema.org","@type":"WebSite","name":"Command Code","url":"https://commandcode.ai"}

{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"How is Command Code different from Cursor or Copilot?","acceptedAnswer":{"@type":"Answer","text":"Command Code is the best coding agent for open models. It lives in your terminal and continuously learns your coding taste. Powered by taste-1, it ships, fixes, tests, and refactors with the patterns you keep, and forgets the ones you delete."}},{"@type":"Question","name":"Why is Command Code the best coding agent for open models?","acceptedAnswer":{"@type":"Answer","text":"Because we made them work. \"Open model bad at tool calling\" is a harness problem, so Command Code validates and repairs every tool call in flight, about 1M repairs per 1T tokens, free on every plan. Our read and shell tools lead the token efficiency frontier benchmarks across ten harnesses, and our prompt caching holds 99%+ cache hit rates, the best in the industry. DeepSeek, Kimi, GLM, Qwen, and MiniMax all run on it, proven at 30T scale, 130T+ tokens served, by 100K+ developers and 40K+ paid customers."}},{"@type":"Question","name":"What does \"learns my taste\" actually mean?","acceptedAnswer":{"@type":"Answer","text":"Every accept, reject, and edit is a signal. Command Code distills those into project-level /skills and personal /memory, so the next session opens with the conventions you already prefer. No rules to write, no prompts to maintain."}},{"@type":"Question","name":"Which models can I use? Can I bring my own?","acceptedAnswer":{"@type":"Answer","text":"Every model listed in our docs ships out of the box — Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Kimi, GLM, MiniMax, and more. New vendors land regularly."}},{"@type":"Question","name":"Where do my skills and memory live?","acceptedAnswer":{"@type":"Answer","text":"On your machine. See the Privacy Policy for how request content is retained."}},{"@type":"Question","name":"How do teams share taste?","acceptedAnswer":{"@type":"Answer","text":"npx taste push to publish a project skill, npx taste pull to install one. Skills are open files in your repo — review them in PRs like any other code."}},{"@type":"Question","name":"What does it cost?","acceptedAnswer":{"@type":"Answer","text":"Free tier for solo developers. Pro and Team plans add seats, more compute, and shared taste registries. See Pricing for the full breakdown."}}]}