在 AI 全面进入开发流程的时代,程序员到底应该怎么工作?在这期视频中,我会带你完整拆解一套 未来开发者必须掌握的 AI Coding 工作流。这不是“AI 帮你写几行代码”这种浅层用法,而是一整套从想法到上线的自动化开发链路。 我们会从最关键的底层逻辑开始: 如何让 AI 理解你的需求、如何生成可执行的 PRD、怎么把一个抽象功能拆成清晰步骤、如何设计任务链路并交给 Cursor、Cloud、Codex 去执行。你会看到 AI 不仅能写代码,还能承担产品经理、架构师、规划者、QA 的角色——从需求分析、数据库结构、API 设计,到前后端联调、自动部署,全都能一条龙完成。 这期视频会告诉你:在 AI Coding 时真正重要的不是“会不会写代码”,而是 能不能写出让 AI 听得懂、执行得准的 Prompt,能不能从产品视角拆解任务,能不能结合 AI 的能力设计新的开发流程。 如果你正在学习 AI 工程、想提升生产力、准备做项目、计划转型,或者担心未来被 AI 取代——这期视频会让你彻底弄懂: 程序员不会被消灭,但不会用 AI 的程序员一定会被淘汰。 未来的程序员不是写代码的人,而是驱动 AI 写出更好代码的人。 这期视频,就是你升级成未来工程师的起点。 In the era where AI is rapidly reshaping the software industry, developers must evolve their workflow — not just their coding skills. In this video, I break down the new AI Coding workflow that modern developers need to master. This is not about using AI to autocomplete lines of code. It’s about transforming the entire software lifecycle: how projects are conceived, analyzed, planned, built, tested, and shipped. We’ll explore the full AI-driven development pipeline step by step: How to generate a PRD that AI can execute, how to structure requirements into precise tasks, how to design prompts that can guide tools like Cursor, Cloud, or Codex, and how to chain these steps into an automated workflow. You’ll see how AI today can behave like a product manager, system designer, architect, coding engineer, QA tester, and even a DevOps assistant. Modern AI Coding is no longer only about “writing code quickly.” It is about thinking like a product owner, breaking down features into small executable prompts, and orchestrating multiple AI tools to build backend, frontend, APIs, databases, and even deployment pipelines. By the end of this video, you'll understand how AI-driven workflows can turn a single developer into a full-stack team. This episode is based on a deep-dive workshop where I demonstrated how AI can: • Understand the product context and user scenarios • Generate PRDs and technical documentation • Break complex features into executable tasks • Write backend & frontend code with consistency • Debug issues through iterative prompts • Structure your repository and workflows like an engineering team If you’re learning AI engineering, building side projects, preparing for interviews, or simply trying to understand what the future of software development looks like — this is the most practical, detailed, and realistic breakdown you will find. AI won’t replace developers. But developers who master AI Coding will replace those who don’t. Welcome to the next generation of developer workflows.
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