如何才能在 AI 时代写代码写得从从容容,游刃有余?本期 AsyncTalk 讨论了这个问题。给出了一些想法:- 程序员的可拓展逻辑没有变,还是难以替代- 后端就选 node,别 bb- 写代码首先支持可读性,老板的要求都要退居其后有任何意见建议可以在评论区留言,或者邮件联系 [email protected] 也可以在 X(Twitter) 上与我们互动 https://x.com/AsyncTalk主播AnnatarHe: https://annatarhe.comTimeline00:20 AI 仍然是被低估的01:10 程序员不会消失 - 它具有极大的可拓展性02:45 程序员不会消失 - 这个群体人才比例高03:31 程序员的要求会越来越高04:20 程序员要求从老到新都要懂 - XML, CLI 等05:55 AI 时代怎么写项目06:00 Next.js 是你的首选08:52 后端选 Node 或 Python11:27 UI 就选 tailwindcss + shadcn12:44 UI 也可以自己写14:58 业务开发怎么结合 AI15:10 可访问性优先16:30 llm.txt17:00 UA 检查 AI 应该返回纯文本18:23 XML 优于 JSON19:35 支持标准 IO20:38 AI 时代的开发原则21:08 可读性高于一切。高于性能,高于效率,高于短期收益23:58 抛弃非语义化。比如 uuid24:58 写测试25:47 欢迎留下自己的想法相关链接SEO 搜索引擎优化: https://en.wikipedia.org/wiki/Search_engine_optimizationCritical npm supply chain attack response - September 8, 2025: https://vercel.com/blog/critical-npm-supply-chain-attack-response-september-8-2025OpenAI Agents SDK: https://openai.github.io/openai-agents-js/tailwindcss: https://tailwindcss.com/Adam Wathan https://x.com/adamwathan/status/1953510802159219096shadcn: https://ui.shadcn.com/llm.txt: https://llmstxt.org/bun 支持输出 markdown: https://x.com/bunjavascript/status/1971934734940098971?s=46stripe 支持复制为 markdown: https://docs.stripe.com/building-with-llms扩展阅读EP46 如何正确开喷 Next.js: https://asynctalk.com/posts/ep46
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