视频简介
AI Coding 发展到今天，很多人还在用“AI帮我补全几行代码”的旧认知看它。但在这期公开视频里，我会把这件事讲透：Vibe Coding（氛围编程）已经不是一个小工具，而是一套全新的软件生产方式。 它的核心流程其实非常朴素：你写提示词 → AI输出结果 → 你验收反馈 → 再迭代循环，直到产品满意为止。真正的威力在于，它把“从实现到反馈”的速度提升到过去敏捷开发都做不到的程度，生产力直接被解放。 更关键的是：AI Coding 的能力是在 2022 到 2025 这几年发生质变的。早期只是补全、写测试；到 2024 下半年开始能独立写模块、写小型系统；到了 2025，甚至可以跨系统理解多个协作模块，先做工程规划再执行——这意味着大公司也无法继续忽视它。你会看到像麦肯锡、银行、保险这类最厌恶风险的组织，从 2024 开始也逐步封装工具、加上安全审查后全面引入，否则竞争力会被同行甩开。 这期视频我还会用真实案例拆解行业趋势：前端的可替代性正在变强，甚至出现前端并入后端、产品进一步靠近研发的结构变化。澳洲现在可能节奏慢一点，但方向不会变。未来真正值钱的不是“写代码”，而是你能不能用 AI Coding 把一个想法从文档、架构、实现、到交付完整跑通。 最后我会现场 demo 用 lovable/replit 这种入门工具快速做出一个澳洲税率计算器，同时也会告诉你：越简单的工具，越容易让你在后期修改时痛苦——因为架构和版本控制才是真正的分水岭。 Most people still think AI coding means “autocomplete” or “fixing a few bugs.” But in this public session, I explain why Vibe Coding (AI-assisted development) has evolved into an entirely new production workflow for software. At its core, the workflow is simple: prompt → AI executes → human reviews → iterate. The real breakthrough is the speed of iteration. Compared to traditional development cycles—where feedback often happens only after release—Vibe Coding allows near-instant feedback and dramatically faster delivery loops. This is why it has become one of the biggest productivity shifts in modern software engineering. I also break down how fast the industry has evolved from 2022 to 2025. In 2022, AI coding was a niche experiment. In 2024, it started reliably generating full code blocks and even entire modules. By 2025, AI tools can understand multiple systems, plan using best engineering practices, and implement complex features across different components. This is the year where AI coding truly “explodes” into real production use. The most important signal is not what startups are doing—it’s what conservative enterprises are doing. Banks, insurance companies, and consulting firms traditionally avoid risk and used to ban AI-generated code. But since 2024, many of them have begun adopting AI coding by wrapping tools with compliance rules and security layers—because the productivity gap against competitors became too large to ignore. Another key topic in this video is the structural change in job roles: frontend is becoming more replaceable, and role boundaries between frontend, backend, and even product responsibilities are shrinking. Australia may adopt these changes more slowly than some markets, but the long-term direction is the same: teams will move toward delivery-driven, full-stack execution powered by AI. Finally, I demonstrate a practical example using beginner-friendly tools like Lovable and Replit to build an Australian tax calculator live. I also explain an important lesson: the easier the tool feels at the beginning, the more painful it can become later without solid architecture and version control discipline.
