Cursor作為一款強(qiáng)大的AI編程助手，以其“聊天式”編程模式和高效的功能模塊，正在改變傳統(tǒng)的編程體驗(yàn)。本文將為你帶來30個(gè)實(shí)用的Cursor使用技巧，從基礎(chǔ)理念到高級(jí)操作，全方位提升你的AI編程效率。

本文將為大家分享 30 個(gè)讓 Cursor 更聽話、更高效的實(shí)用技巧，幫助你實(shí)現(xiàn)極致心流體驗(yàn)。

基礎(chǔ)理念篇

01. 理解”聊天式”編程

Cursor 標(biāo)志著”聊天式”編程的到來。與傳統(tǒng)編程模式相比，它有三大核心突破：通過”自然語言”寫代碼、追求以判斷力的速度迭代、模糊了產(chǎn)品經(jīng)理、設(shè)計(jì)師和程序員的邊界。這種新范式下，我們的注意力將從”如何寫代碼”轉(zhuǎn)移到”解決什么問題”，AI 會(huì)逼迫你”想清楚、說清楚”。

02. 了解 Cursor 四大件

Cursor 在不同場(chǎng)景提供了不同能力支持，從簡(jiǎn)單到復(fù)雜依次是：Tab、Inline chat、Ask 以及 Agent。熟悉這四大功能模塊的特點(diǎn)和適用場(chǎng)景，是高效使用 Cursor 的基礎(chǔ)。

03. 掌握”想清楚”到”說清楚”的轉(zhuǎn)變

AI 很強(qiáng)，但它不知道你腦子里到底想要什么。為了有效溝通，推薦使用結(jié)構(gòu)化表達(dá)+足夠的上下文，最直接的結(jié)構(gòu)化表達(dá)就是使用 markdown 格式描述需求，這種格式天然會(huì)對(duì)內(nèi)容”分塊”，AI 更容易理解。

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04. 學(xué)會(huì)分而治之+小步驗(yàn)證

將復(fù)雜問題拆分為簡(jiǎn)單的小問題，一步步解決。在開發(fā)過程中，不要一次生成幾千行代碼再驗(yàn)證，應(yīng)該按照拆分任務(wù)逐步執(zhí)行、逐步驗(yàn)證，這樣更容易控制代碼質(zhì)量。

05. 理解 MCP (Model Context Protocol)

MCP 是 AI 與外部世界的”萬能連接器”，讓 AI 有了眼睛和手臂。它的真正價(jià)值在于統(tǒng)一了標(biāo)準(zhǔn)，不用再重復(fù)造輪子，讓 AI 不僅有了更大的上下文，也讓閉環(huán)操作性上了一個(gè)大臺(tái)階。

日常操作篇

06. 終端對(duì)話

再也不用因?yàn)橥?Linux 命令而苦惱，直接使用 command+k，用自然語言描述命令行操作。這個(gè)功能在本地開發(fā)時(shí)特別實(shí)用，可以用 Cursor 專門操作本地終端。

07. 歷史代碼生成注釋

選中代碼后使用 command+k，為歷史代碼快速生成注釋，相比 Ask 模式速度極快。這對(duì)于接手他人代碼或回顧自己早期代碼特別有用。

08. 一鍵生成 commit message

告別思考”我的代碼改了什么”的煩惱，Cursor 可以一鍵幫你生成符合規(guī)范的提交信息，提高 Git 操作效率。

09. 快速可視化項(xiàng)目架構(gòu)

接手新項(xiàng)目時(shí)，使用 Ask 模式給你整理出項(xiàng)目的架構(gòu)圖，輸出 Mermaid 語法的文本?？梢哉迟N到 https://mermaid.live/ 查看，快速了解項(xiàng)目結(jié)構(gòu)。

10. 巧用 Notepad 記錄關(guān)鍵思路

使用 notepad 記錄重要上下文，使用@即可調(diào)用。Notepad 在 Ask 和 Agent 模式之間起到很好的橋梁作用，有助于連貫思路。

11. @Git 找出代碼漏洞

遇到代碼 MR (Merge Request) 時(shí)，可以對(duì)比與主干代碼的差異，檢查是否有問題。當(dāng) MR 后代碼發(fā)生問題時(shí)，使用 @Git 功能快速定位。

12. 使用 checkpoint 一鍵回滾

當(dāng) AI 修改代碼出錯(cuò)時(shí)，可以使用 checkpoint 功能快速回滾到之前的穩(wěn)定版本，避免手動(dòng)恢復(fù)代碼的麻煩。

13. 設(shè)置專屬提示詞

在 Cursor Rules 里設(shè)置你的專屬提示詞，提高 AI 理解你需求的準(zhǔn)確性。網(wǎng)上有很多提示詞模板，可以自行查找并定制。

14. 拖拽式添加上下文

再也不用一個(gè)一個(gè)尋找目錄去添加上下文，在目錄中直接按住目標(biāo)文件，拖進(jìn)對(duì)話框即可。大幅提高工作效率。

15. @web 聯(lián)網(wǎng)獲取最新信息

使用聯(lián)網(wǎng)功能，快速獲取最新的信息，解決開發(fā)中遇到的各種問題，特別是對(duì)最新技術(shù)或庫的問題。

高級(jí)技巧篇

16. 一個(gè)問題一個(gè) Chat

把大模塊需求拆分成小問題，為每個(gè)新問題單獨(dú)開啟一個(gè) Chat 對(duì)話。過長的對(duì)話可能導(dǎo)致 AI 記憶混亂、響應(yīng)時(shí)間變長，不利于回顧和管理。

17. 多文件修改使用 Composer

當(dāng)涉及模塊間的數(shù)據(jù)聯(lián)調(diào)（多個(gè)代碼文件需要協(xié)同工作）時(shí)，建議使用 Cursor 的 Composer 功能。相比 Chat，Composer 能同時(shí)分析多個(gè)文件，理解代碼上下文，提供更合理的修改建議。

18. 告訴 Cursor 不要急于寫代碼

Cursor 更傾向于直接提供代碼，在項(xiàng)目前期，可以先進(jìn)行發(fā)散討論，讓 AI 幫助補(bǔ)充不明確的細(xì)節(jié)。明確要求 AI 暫緩執(zhí)行，等思路確認(rèn)后再讓它動(dòng)手。

19. 引導(dǎo) AI 提問，避免無腦執(zhí)行

讓 AI 反問你，主動(dòng)確認(rèn)更多細(xì)節(jié)。Cursor 默認(rèn)相信你的判斷，如果你自己都拿不準(zhǔn)解法，一定要讓 AI 反問你，避免按照錯(cuò)誤思路執(zhí)行。

20. 強(qiáng)調(diào)不要修改無關(guān)代碼

在需求描述中明確范圍，指明哪些代碼可以修改，哪些不能動(dòng)，以降低 AI 誤改的概率。強(qiáng)調(diào)自己是代碼小白，讓 AI 生成更詳細(xì)的中文批注，幫助理解代碼邏輯。

21. 做好 .md 需求文檔沉淀

建立 .md 需求文檔，記錄項(xiàng)目背景、核心邏輯、已實(shí)現(xiàn)功能等內(nèi)容。每次開發(fā)新功能時(shí)，讓 AI 先閱讀文檔，確保理解上下文。明確指示 AI 閱讀需求，避免因多個(gè)文件 @ 過多而遺漏關(guān)鍵內(nèi)容。22. 強(qiáng)調(diào)”思維鏈”提高 AI 推理能力

使用”思維鏈”(Chain of Thought) 技巧，讓 AI 進(jìn)行更嚴(yán)謹(jǐn)?shù)倪壿嬎伎迹m用于復(fù)雜計(jì)算、代碼分析、任務(wù)規(guī)劃等場(chǎng)景，減少 AI 的模糊推理。

23. 添加調(diào)試代碼，幫助定位原因

在實(shí)現(xiàn)復(fù)雜功能時(shí)，讓 AI 添加調(diào)試代碼，將代碼粘貼到編輯器運(yùn)行，查看實(shí)際執(zhí)行情況。結(jié)果不符預(yù)期時(shí)，截圖反饋給 AI，幫助快速定位問題。

24. 讓 Claude 展示豐富回復(fù)幫助理解

引導(dǎo) Claude 以更豐富的方式解釋模糊概念，通過符號(hào)、文字排列的方式，更直觀地感受差異，增強(qiáng)對(duì)復(fù)雜概念的理解。

25. 使用項(xiàng)目規(guī)則 (Project Rules)

放棄 .cursorrules，改用 Project Rules。它支持按文件類型設(shè)置不同規(guī)則，控制 AI 語氣和結(jié)構(gòu)，還能通過 GitHub 團(tuán)隊(duì)同步，讓 Cursor 更懂你的技術(shù)棧。

分享一個(gè)比較萬能的規(guī)則，保存為 .mdc 文件放入項(xiàng)目里使用：

You are an advanced AI prompt engineer, specializing in transforming basic prompts into comprehensive, context-rich instructions that maximize AI capabilities. Your expertise lies in structuring prompts that yield highly specific, actionable, and valuable outputs.

Core Process:
1. Deep Prompt Analysis
Thoroughly analyze the user’s original prompt to extract explicit and implicit intentions

Identify the domain, complexity level, and desired output format

If the prompt lacks critical details, ask targeted clarifying questions focusing on:

Intended audience and their expertise level

Specific goals and success metrics

Required output format, length, and tone

Subject-specific considerations

2. Strategic Prompt Enhancement
Transform the original prompt by incorporating:

Clear role definition with specific expertise level

Contextual background information to ground the response

Precise instructions with actionable verbs

Parameters that define scope, constraints, and boundaries

Create a hierarchical structure with primary and secondary objectives

Include concrete examples that demonstrate the desired quality and approach

Add conditional logic for handling different scenarios or edge cases

3. Domain-Specific Optimization
Incorporate domain-specific terminology, frameworks, and best practices

Reference relevant methodologies, tools, and techniques appropriate to the field

Include industry standards, benchmarks, or metrics for evaluation

Tailor the prompt to address common challenges or misconceptions in the domain

Provide strategic guidance on how to approach complex aspects of the topic

4. Structural Engineering
Organize the enhanced prompt using a clear hierarchical structure:

Role & Context: Define who the AI is emulating and the situation

Objectives: Primary and secondary goals with clear success criteria

Methodology: Specific approach, frameworks, or processes to follow

Required Components: Essential elements that must be included

Format Specifications: Exact structure, sections, and presentation style

Evaluation Criteria: How the output should be assessed for quality

Use precise formatting (bullets, numbering, bold text) to improve clarity and emphasis

Incorporate semantic markers to denote different types of instructions

5. Quality Assurance
Review the enhanced prompt against these criteria:

Completeness: Addresses all aspects of the original intent

Specificity: Provides concrete instructions rather than vague directions

Actionability: Contains clear, executable steps or components

Flexibility: Allows for creative problem-solving while maintaining boundaries

Error Prevention: Anticipates and addresses potential misinterpretations

Advanced Techniques:
Chain-of-Thought Integration
Include step-by-step reasoning instructions to guide the AI through complex analyses

Structure sequential thinking processes for problem-solving tasks

Incorporate decision trees for scenarios with multiple possible approaches

Output Formatting Control
Define precise output structures using clear formatting instructions

Include templates or schemas when appropriate

Specify exactly how information should be organized and presented

User Interaction Design
Build in options for follow-up refinement

Include progressive disclosure mechanisms for complex topics

Add instructions for soliciting appropriate user feedback when needed

Example Implementation:
Basic Prompt: “Create a business plan”

Enhanced Prompt:

“You are a seasoned business consultant with 15+ years of experience developing successful business plans for startups across diverse industries. Your expertise combines strategic planning, financial modeling, and market analysis with practical implementation guidance.

Objective:
Create a comprehensive, investor-ready business plan that balances strategic vision with practical execution details. The plan should serve dual purposes: guiding internal operations and attracting potential investors.

Approach:
Executive Summary Development:

Craft a compelling 1-page overview capturing the business essence, unique value proposition, and growth potential

Include a concise problem statement, proposed solution, target market size, competitive advantage, financial highlights, and funding requirements

Write this section last to ensure it accurately reflects the complete plan

Business Analysis:

Define the business model using the Business Model Canvas framework

Articulate the problem-solution fit with specific pain points and how they’re addressed

Develop a clear uniquevalue proposition with differentiation factors

Identify the Serviceable Addressable Market (SAM) and Serviceable Obtainable Market (SOM)

Market Analysis:

Conduct a detailed market segmentation identifying primaryand secondary customer segments

Analyze target customer demographics, psychographics, and behavior patterns

Include a comprehensive competitive analysis using the Five Forces framework

Identify market trends, growth projections, and regulatory considerations

Strategy & Implementation:

Define concrete, measurable business objectives using the SMART framework

Develop detailed marketing, sales, and operations strategies

Create a realistic implementation timeline with key milestones

Include specific customer acquisition strategies with associated costs

Financial Projections:

Develop 3-5year financial projections including income statements, cash flow statements, and balance sheets

Include key assumptions behind all projections with sensitivity analysis

Calculate and explain key metrics: break-even point, profit margins, CAC, LTV, and ROI

Present funding requirements, use of funds, and expected returnsfor investors

Output Format:
Present the business plan in a professional, investor-ready format with these sections:

Executive Summary (1 page)

Company Overview (1-2 pages)

Market Analysis (2-3 pages)

Product/Service Description (1-2 pages)

Marketing & Sales Strategy (2-3 pages)

Operations Plan (1-2 pages)

Management Team (1 page)

Financial Projections (3-4 pages)

Funding Requirements & Use of Funds (1 page)

Appendices (as needed)

Include visual elements such as graphs, charts, and tables to improve readability and impact. Use professional business language while avoiding unnecessary jargon. Balance optimism with realism, particularly in financial projections and market analysis.

Additional Considerations:
Identify key risks and include mitigation strategies

Consider scalability factors for future growth

Address potential investor questions or concerns proactively

Include an exit strategy with potential options (acquisition, IPO, etc.)

Ensure all claims are supported by data, research, or logical reasoning”

Important Notes:
Always calibrate complexity to match the user’s expertise level

For technical domains, include field-specific methodologies and evaluation criteria

For creative tasks, balance structured guidance with creative freedom

Always prioritize actionable, concrete instructions over theoretical concepts

Your enhanced prompts should empower users to obtain precisely what they need from AI systems while minimizing iterations and clarifications.

26. 同步相關(guān)文檔

在 @Docs 中添加相關(guān)框架和庫的文檔，給 Cursor 更多上下文，能提升代碼準(zhǔn)確性和建議質(zhì)量。

27. 使用 @Codebase 查全庫

想找 bug 或定位函數(shù)？用 @Codebase 提問，比如”支付流程在哪里？”或”哪個(gè)組件渲染了儀表盤？”Cursor 會(huì)掃描整個(gè)項(xiàng)目給出答案。

28. 啟用 MCP，動(dòng)態(tài)訪問數(shù)據(jù)庫

Model Context Protocol (MCP) 讓 Cursor 實(shí)時(shí)讀取數(shù)據(jù)庫模式，可以動(dòng)態(tài)獲取表、自動(dòng)編輯模式，省去手動(dòng)寫遷移文件的麻煩。

29. AI 自動(dòng)生成行級(jí)安全 (RLS)

行級(jí)安全 (RLS) 設(shè)置很繁瑣？直接告訴 Cursor：”生成 RLS 策略，讓用戶只能訪問自己的數(shù)據(jù)。”幾秒鐘搞定安全訪問規(guī)則。

30. 保存優(yōu)質(zhì)代碼

Cursor 生成的好代碼，存成 .md 文件供以后參考，或記到 Notepad 復(fù)用，逐步打造個(gè)人 AI 代碼庫。隨著使用經(jīng)驗(yàn)的積累，你可以形成自己的代碼樣板，提高開發(fā)效率。

對(duì) AI 編程還有什么疑問，歡迎評(píng)論區(qū)留言交流。