Vibe Coding：以结果为导向的革命性编程范式

Introduction

In recent discussions across developer forums and communities, a new and intriguing term has been gaining traction: "Vibe Coding." At first glance, it might sound perplexing. Does writing code now require a specific atmosphere? From a developer's perspective, this article explores the concept of "Vibe Coding" as I understand it and introduces the tools that help developers truly "get into the vibe."

最近在开发者论坛和社区中，一个新颖而引人注目的术语逐渐流行起来："Vibe Coding"。初看之下，它可能令人费解。难道现在写代码还需要特定的氛围感吗？本文将从一名开发者的视角，探讨我所理解的 "Vibe Coding" 概念，并介绍那些能帮助开发者真正 "进入状态" 的工具。

What is Vibe Coding?

The word "Vibe" in English inherently means "atmosphere" or "feeling." Therefore, "Vibe Coding" translates directly to "Atmosphere Programming" or "Immersive Coding." However, this "immersion" goes beyond merely placing oneself in a ritualistic coding environment. More importantly, it fundamentally颠覆了颠覆了我们传统的编码方式。

"Vibe" 一词在英文中本就含有 "氛围" 或 "感觉" 的意思。因此，"Vibe Coding" 直译过来就是 "氛围编程" 或 "沉浸式编程"。然而，这里的 "沉浸" 不仅仅是让你置身于一个有仪式感的编程环境中，更重要的是，它从根本上颠覆了我们传统的编码方式。

Let's cut to the chase: Vibe Coding is not concerned with how your code is implemented. Its core focus is solely on whether the generated result is correct. The tedious work of implementation logic and underlying details is handed off to AI. The developer's role is to monitor the output, and if something seems off or problematic, they simply modify the prompt提示词，开发者用自然语言、示例或图表向AI描述需求的方式，是Vibecoding中与AI交互的核心手段。, re-specify the requirements, and let the AI automatically adjust and optimize until the final result perfectly matches expectations. The entire process immerses you in a cycle of "stating ideas → reviewing results → making adjustments → generating new results," leading to dramatically increased efficiency.

直接说结论：Vibe Coding 根本不关心你的代码具体是如何实现的。 它的核心关注点只在于生成的结果是否正确。实现逻辑、底层细节这些繁琐的工作，都交给 AI 去处理。开发者的角色是监控输出，如果觉得哪里不对或有问题，只需修改提示词、重新提出需求，然后让 AI 自动调整和优化，直到最终结果完全符合预期为止。整个过程让你沉浸在 "提出想法 → 查看结果 → 进行调整 → 生成新结果" 的循环中，效率得到显著提升。

Traditional Coding vs. Vibe Coding: A Comparison

Traditional Coding: Most of us need to thoroughly understand the entire implementation思路. We write and modify the流程 and details by hand, and when bugs arise, we must trace them to their source.
- 传统编码：我们大多数人需要彻底理清整个实现思路。流程和细节都需要亲手编写和修改，遇到 bug 时还得追根溯源。
Vibe Coding: The process is completely different. It becomes: I tell the AI in my own words (which could be natural language, a sketch, or an example) "what kind of functionality/effect/result I want." The AI (whether it's ChatGPT, Copilot, or an Agent within a dedicated Vibe Coding platform) automatically generates the code and interface. You don't need to worry about how it does it. You "verify" using the actual运行结果: if it's correct, you accept it; if not, you provide feedback, raise requirements, and let the AI adjust again. This cycle repeats until the result you see完全符合符合 your vision, and then the code is ready for delivery.

Vibe Coding：流程则完全不同。它变成了：我用我自己的话（可能是自然语言、画个草图或举个例子）告诉 AI "我想要什么样的功能/效果/结果"。AI（无论是 ChatGPT、Copilot 还是专业 Vibe Coding 平台内的智能体）会自动生成代码和界面。你根本不用管它用了什么方法。你用实际运行出来的结果来 "检验"：对了就收下，不对就给出反馈、提出要求，让 AI 再调整。如此循环，直到你看到的结果完全符合你心中的设想，这代码就算完成了。

In essence, humans are responsible for posing the problem + reviewing the solution, while AI handles solving the problem + making corrections. The entire process is immersed in a closed loop of "instant feedback → adjustment → more feedback → further adjustment." You don't even need to consider the implementation, making it the ultimate form of "effortless" productivity.

说白了就是，人类负责 出题 + 审核，而 AI 负责 解题 + 改卷。全过程都沉浸在 "即时反馈 → 调整 → 再反馈 → 再调整" 的闭环里，自己甚至都不用考虑如何实现，整个就是极致的 "躺平" 式生产力。

The Vibe Coding Workflow

I've roughly mapped out the workflow in the following diagram:

我大致绘制了以下流程图来展示其工作流程：

[Developer's Mind / Requirement]
        |
        v
[Articulate Requirement (Prompt) -> AI]
        |
        v
[AI Generates Code / Interface]
        |
        v
[Developer Reviews RESULT]
        |                    \
        |                     \
[Result OK?]---No--->[Provide Feedback / Adjust Prompt]
        |
       Yes
        |
        v
[Accept & Use Code]

A Life Analogy: It's like ordering food delivery. You just choose the dishes, and the AI prepares them. If the delivered meal doesn't suit your taste? You simply leave a review! The AI "chef" immediately makes adjustments until you're satisfied.

一个生活化的比喻：这就像点外卖。你只管选菜，AI 帮你做。菜端上来不合口味？你直接给差评！AI "厨子" 立刻根据反馈修改，直到让你满意为止。

Why is Vibe Coding So Appealing?

Extremely High Efficiency: You save a massive amount of time otherwise spent纠结于纠结于底层逻辑 and debugging. You can focus all your energy on "what exactly is needed." The AI fills in the implementation details and brings your ideas to life.
- 效率极高：你省去了大量纠结于底层逻辑和调试 bug 的时间，可以将全部精力集中在 "到底需要什么" 上。AI 会帮你补全实现细节并将想法落地。
Low Barrier to Entry: You don't need to be a programming expert; even beginners can get started. The approach relies entirely on subjective感受 and即时调整, making it suitable for everyone. It's particularly ideal for rapid prototyping, product validation, and creating visual demos.
- 零门槛入门：你不需要成为编程专家，即使是新手也能轻松上手。这种方式完全依赖于主观感受和即时调整，老少咸宜。它特别适合快速试错、产品原型验证和创建可视化演示。
More Immersive and Empowering: You aren't bogged down by code syntax. Instead, you immerse yourself fully in the acts of "creation" and "expression." Your creative flow remains uninterrupted, and you can quickly correct any "something feels off" moments, making the process incredibly smooth.
- 更沉浸、更有助力：你不会被代码语法所困扰，而是全身心沉浸在 "创作" 和 "表达" 本身。你的创作心流不会被打断，并且可以迅速修正任何 "感觉不对劲" 的地方，让整个过程无比顺畅。

Essential Vibe Coding Tools

In essence, any tool that enables an "immersive experience + AI auto-adjustment + instant preview" can be considered a powerful asset for Vibe Coding. The current landscape of this results-oriented, immersive programming style is heavily reliant on the powerful combination of AI-enhanced IDEs and specialized AI tools. Below are some of the most effective tools currently available:

说白了，只要能提供 "沉浸式体验 + AI 自动调整 + 即时预览" 的工具，都可以算是 Vibe Coding 的利器。当前这种结果导向、沉浸式的编程玩法，离不开 AI 增强的 IDE 和专业 AI 工具的强强联手。下面推荐几个目前市面上非常高效的工具：

Cursor
Frankly, among modern coding IDEs, Cursor is a top contender. Its built-in AI assistant is exceptionally helpful, allowing you to simply state your requirements. Cursor can then write code, find bugs, modify logic, and even perform automatic refactoring, making the workflow incredibly smooth. You focus on reviewing results and requesting changes, leaving the code details to the AI—perfectly aligning with the Vibe Coding ethos of "immerse, feedback, adjust."
- Cursor
  讲真，在现代编码 IDE 中，Cursor 绝对是佼佼者。它内置的 AI 助手特别给力，你可以直接告诉它你的需求。随后，Cursor 就能帮你写代码、查 bug、改逻辑，甚至自动重构代码，让工作流程无比顺畅。你只需关注查看结果和提出修改，代码细节交给 AI 处理——这完全符合 Vibe Coding "沉浸、反馈、调整" 的理念。
Trae
Trae.ai is another AI-powered programming IDE, a product from ByteDance, currently free to use. You can write code, check documentation, and add interfaces. Conversing with it allows you to modify features and troubleshoot issues, effectively doubling your productivity.
- Trae
  Trae.ai 是另一个 AI 驱动的编程 IDE，字节跳动的产品，目前免费使用。你可以用它写代码、查文档、加接口。通过与它对话，你就能修改功能、排查问题，事半功倍。
VSCode + Cline Plugin
If you are a dedicated VSCode user, I highly recommend trying the Cline plugin. It integrates an AI assistant directly into VSCode, enabling seamless collaboration with the editor. Whether you're writing code, checking APIs, or stating requirements within VSCode, Cline can help with generation, completion, and refactoring. It can also connect to the Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。 with one click, helping you automatically fetch and utilize API documentation. This transforms development into a "VSCode for writing - Cline for thinking - AI for results" experience, making the entire process super smooth.
- VSCode + Cline 插件
  如果你是忠实的 VSCode 用户，强烈推荐试试 Cline 插件。它将 AI 助手直接集成到 VSCode 中，实现与编辑器的无缝协作。无论你在 VSCode 中是写代码、查 API 还是提需求，Cline 都能协助生成、补全和重构代码。它还能一键连接 Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。，帮你自动获取和利用 API 文档。这将开发变成了 "VSCode 负责写 - Cline 负责想 - AI 负责出结果" 的体验，整个过程超级丝滑。
Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。 (A Key Introduction!)
When it comes to knowledge management and API data in the AI era, the MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。 is indispensable.
- Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。 (重磅介绍！)
  说到 AI 时代的知识管理和 API 数据，MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。真的不可或缺。
What makes it so powerful? Simply put, it can seamlessly feed the API documentation you've written in Apifox (such as your project's API specifications, fields, usage instructions, etc.) to AI tools like Cursor, Trae, VS Code (with the Cline plugin), or any other tool supporting the MCP protocol.
- 它牛在哪里？ 简单来说，它能将你在 Apifox 中编写好的 API 文档（例如你的项目 API 规范、字段、用法说明等），无缝地 "喂给" 像 Cursor、Trae、VS Code（安装 Cline 插件后）或任何其他支持 MCP 协议的 AI 工具。
The biggest advantage is: When writing code or developing business logic, you no longer need to memorize API interfaces or constantly翻查翻查 documentation. You simply tell the AI: "Generate the Product interface based on the API docs," "Add a few new fields to the DTO," or "Write detailed comments for all fields"... and the AI handles it automatically. This truly achieves professional code, interfaces, and comments where "writing it makes it compliant, and changing one line syncs everything."
- 最大的好处在于： 当你编写代码或开发业务逻辑时，不再需要死记硬背 API 接口或反复翻查文档。你只需告诉 AI："根据 API 文档，生成 Product 接口"、"在 DTO 里多加几个新字段"、"为所有字段写详细注释"……AI 就会自动帮你完成。这真正实现了专业的代码、接口和注释，做到 "写出来即是规范，改一行全同步"。
With the MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。, the "knowledge gaps" in AI-assisted programming are largely eliminated, efficiency soars, and team collaboration becomes more professional. It's especially suitable for backend development, microservices, team collaboration projects, and various automation and intelligent code generation tasks.
- 有了 MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。，AI 编程的 "知识盲点" 基本被消除，效率暴涨，团队协作也更专业。它特别适合后端开发、微服务、团队协作项目，以及各种自动化和智能代码生成任务。
How to use it? You can start by registering for an Apifox account and creating a new API project. Then, refer to the help documentation here:
- 怎么用？ 可以先注册一个 Apifox 账号并新建一个 API 项目，然后参考这里的帮助文档：
  - [通过 MCP 使用 Apifox 项目内的 API 文档](通过 MCP 使用 Apifox 项目内的 API 文档)
  - [通过 MCP 使用公开发布的 API 文档](通过 MCP 使用公开发布的 API 文档)
  - [通过 MCP 使用 OpenAPI/Swagger 文档](通过 MCP 使用 OpenAPI/Swagger 文档)

Conclusion

Vibe Coding truly allows humans to do what they do most comfortably: focus on the outcome, articulate requirements, and leave the rest to AI. If you find something unsatisfactory? Simply tell the AI again, "adjust it immediately, give me feedback immediately." The immersion is complete, and the efficiency is remarkably high.

Vibe Coding 真正让人类做最舒服的事：专注于结果，阐明需求，其余全部交给 AI。发现哪里不满足？只需再次告诉 AI，"马上调整，马上给我反馈"。沉浸感拉满，效率高得离谱。

Today, engaging in Vibe Coding requires more than just having AI generate code for you. True immersive and efficient programming is achieved when the AI also understands the requirements, documentation, and "standard answers." The Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。 helps you consolidate API documentation, business specifications, and development knowledge into a single source of truth,彻底打通彻底打通 the "Human-AI-Code" closed loop. Using it is an absolute game-changer!

如今，进行 Vibe Coding 光靠 AI 帮你生成代码还不够。只有当 AI 也能理解需求、文档和 "标准答案" 时，才能真正实现沉浸式又高效的编程。Apifox MCP Server模型上下文协议服务器，用于将结构化知识（如API文档、项目规范）提供给AI工具，使AI能够基于准确信息生成符合要求的代码。帮你将 API 文档、业务规范和开发知识整合成唯一可信源，彻底打通 "人-AI-代码" 的闭环。用它绝对爽！

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