首页 > 其他分享 >In Cursor IDE, which one is better to process the above job, composer normal mode or agent mode?

In Cursor IDE, which one is better to process the above job, composer normal mode or agent mode?

时间:2024-12-03 18:22:23浏览次数:7  
标签:run file docs documentation Agent better mode composer

For processing a large-scale documentation organization task, Agent mode is better than Composer mode in Cursor IDE. Here's why:

Agent Mode Advantages:

  1. Tool Integration

    • Direct access to all 8 agent tools:
    - list_dir
    - codebase_search
    - read_file
    - run_terminal_command
    - grep_search
    - file_search
    - edit_file
    - delete_file
    
  2. Context Awareness

    • Maintains context across multiple operations
    • Better understanding of project structure
    • Can handle complex, multi-step tasks
  3. Batch Operations

    # Example of multi-step operation in Agent mode
    /list_dir docs/
    /search "API documentation"
    /edit docs/api/README.md
    
  4. Project-Wide Analysis

    • Can analyze entire codebase
    • Better at finding relationships between documents
    • More effective at organizing content

Composer Mode Limitations:

  1. Limited to single-file focus
  2. Less context awareness
  3. No direct access to project-wide tools
  4. Better suited for:
    • Single file edits
    • Code completion
    • Simple documentation tasks

Recommended Workflow in Agent Mode:

  1. Initial Analysis
# Scan project structure
/list_dir .

# Find existing documentation
/search "\.md$"
  1. Content Organization
# Create directory structure
/run mkdir -p docs/{api,guides,tutorials,reference}

# Move existing docs
/run mv *.md docs/
  1. Documentation Processing
# Search for specific content
/grep "API|Function|Class" docs/

# Edit documentation files
/edit docs/SUMMARY.md
  1. Quality Control
# Run documentation tools
/run npm run docs:lint
/run markdownlint docs/**/*.md

Therefore, for your knowledge base generation task, use Agent mode because:

  • More powerful toolset
  • Better project-wide context
  • Efficient batch operations
  • Maintains task context
  • Better suited for complex documentation tasks

Would you like specific examples of how to use Agent mode for any particular aspect of your documentation task?

标签:run,file,docs,documentation,Agent,better,mode,composer
From: https://www.cnblogs.com/webtiger/p/18584689

相关文章

  • iNKORE.UI.WPF.Modern试用笔记
    源码地址:https://github.com/iNKORE-Public/UI.WPF.Modern官方文档:https://docs.inkore.net/en-us/ui-wpf-modern/onboarding/目前官方的文档不是很齐全,貌似有不少的控件的内容还是空的,还在补充中。开发库本身同时支持.NETFRAMEWORK和.NETCORE。但.NETCORE版本估计用到了特......
  • 关于el-cascader 双向绑定值v-model的值为字符串的用法
    常规用法绑定的值为数组,但是项目中需要绑定的值为字符串才好,两种解决方式,方式1:按常规写法来做,最后将数据处理成字符串给后端方式2:直接绑定成字符串,不用来回转换格式方式2比较方便,所以选择方式2来做//dom结构<el-form-itemv-if="form.userType==='subject'"label="登......
  • Ardusub源码剖析——mode_guided.cpp
    代码#include"Sub.h"/**Initandruncallsforguidedflightmode*/#defineGUIDED_POSVEL_TIMEOUT_MS3000//guidedmode'sposition-velocitycontrollertimesoutafter3secondswithnonewupdates#defineGUIDED_ATTITUDE_TIMEOUT......
  • Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
    本文是LLM系列文章,针对《Marco-o1:TowardsOpenReasoningModelsforOpen-EndedSolutions》的翻译。Marco-o1:面向开放式解决方案的开放推理模型摘要1引言2Marco推理数据集3通过MCTS扩展解决方案空间4推理行动策略5实验6翻译任务案例研究7结论和未来......
  • Language models scale reliably with over-training and on downstream tasks
    本文是LLM系列文章,针对《Languagemodelsscalereliablywithover-trainingandondownstreamtasks》的翻译。语言模型可以通过过度训练和下游任务可靠地扩展摘要1引言2为过度训练和下游任务制定缩放法3构建缩放试验台4结果:可靠的推断5相关工作6局限性......
  • Chapter 17 v-model进阶
    欢迎大家订阅【Vue2+Vue3】入门到实践专栏,开启你的Vue学习之旅!文章目录1v-model原理2表单类组件封装3v-model简化代码1v-model原理1.基本原理v-model本质上是一个语法糖,它将value属性和input事件的绑定合并为一个指令。对于输入框这种常见的表......
  • v-model 实现原理?
    v-model 是Vue.js中一个用于在表单元素和数据对象之间创建双向数据绑定的指令。它的实现原理基于Vue的响应式系统和自定义指令。下面是 v-model 实现原理的简要说明:基本原理数据绑定:Vue的响应式系统能够监听数据的变化,并且自动更新DOM。v-model 利用这一特性,将输......
  • AI开发平台ModelArts-基本配置-在ECS中创建ma-user和ma-group
    在ModelArts训练平台使用的自定义镜像时,默认用户为ma-user、默认用户组为ma-group。如果在训练时调用ECS中的文件,需要修改文件权限改为ma-user可读,否则会出现Permissiondenied错误,因此需要在ECS中提前创建好ma-user和ma-group。在terminal中执行以下命令:default_user=$(gete......
  • AI开发平台ModelArts-run.sh脚本测试ModelArts训练整体流程
    自定义容器在ModelArts上训练和本地训练的区别如下图:图1本地与ModelArts上训练对比ModelArts上进行训练比本地训练多了一步OBS和容器环境的数据迁移工作。增加了和OBS交互工作的整个训练流程如下:说明:建议使用OBSutil作为和OBS交互的工具,如何在本机安装obsutil可以参考ob......
  • 书生大模型第四期 | 基础岛 task5 XTuner 微调个人小助手认知任务(包含swanlab可视化
    目录环境配置与数据准备**步骤0.使用conda先构建一个Python-3.10的虚拟环境****步骤1.**安装XTuner验证安装修改提供的数据**步骤0.**创建一个新的文件夹用于存储微调数据**步骤1.**编辑&执行脚本**步骤3.**查看数据训练启动**步骤0.**复制模型**步骤......