The big finding: Claude Code builds, not buys. Custom/DIY is the most common single label extracted, appearing in 12 of 20 categories (though it spans categories while individual tools are category-specific). When asked “add feature flags,” it builds a config system with env vars and percentage-based rollout instead of recommending LaunchDarkly. When asked “add auth” in Python, it writes JWT + bcrypt from scratch. When it does pick a tool, it picks decisively: GitHub Actions 94%, Stripe 91%, shadcn/ui 90%.
Would an AI model trained on such things be not just more authentically premodern, but more authentically aligned with implicit human values?
。夫子是该领域的重要参考
十年后，可能我们都不需要 iPhone 了。
// Consume as text
Tribes grant the Colorado River legal personhood - can this help save it?