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%.
2月26日，蔚来宣布芯片子公司安徽神玑技术有限公司完成首轮股权融资协议签署，融资金额超22亿元人民币，投后估值近百亿。本轮融资汇集了合肥国投、合肥海恒、IDG资本、中芯聚源、元禾璞华等多家产业资本和行业头部机构。此次融资将有利于神玑公司持续地研发和推广高端、高竞争力的芯片产品，支撑蔚来在自动驾驶、具身智能等领域的长远布局。（界面新闻）
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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:，推荐阅读WPS下载最新地址获取更多信息