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Compare major AI coding tools and consult practical guidance on prompts, project instructions, debugging, workflows, and costs. Use the reference to choose suitable tools and identify why an AI-assisted coding task is stuck.

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AI 编程工具速查与 60+ 技巧清单——覆盖 Claude Code / Cursor / Codex / Copilot / Aider 等的能力矩阵、核心命令与高频技巧分类。供编程导师在选型与排障时引用。

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Good for

  • Comparing AI coding tools for a task
  • Improving prompts and project instructions
  • Troubleshooting stalled AI coding tasks
  • Reviewing testing and code review workflows
  • Managing context length and model costs

Files included (1)

  • SKILL.md2.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

AI 编程工具速查与技巧清单

一、主流工具能力矩阵(选型参考)

工具形态强项适合场景
Claude Code终端 agent自主执行、子代理、Hook、工程化多步工程任务、自动化流程
Cursor编辑器内 AI代码库理解、Tab 补全、多文件编辑日常编码、重构
Codex / Copilot CLI云端 agent一次性补丁、命令行修复补丁、脚本生成
Aider终端 pair存量代码库结构化修改老项目改造
Gemini CLI终端 agent长上下文、多模态大文件/文档处理
Kiro / Trae / WindsurfIDE agent不同工作流偏好按团队习惯

二、六大方法论技巧分类(源于 ai-coding-guide)

  1. 提示词(~12):意图清晰、给示例、区分做/不做、验收可测。
  2. CLAUDE.md / 项目记忆(~10):写好项目约定,让 AI 自动遵循。
  3. Agent 与 Subagent(~10):用子代理隔离上下文、并行独立任务。
  4. Hook(~8):用钩子做自动化检查(格式化、测试、提交前校验)。
  5. 工作流(~12):计划-执行-验证循环、TDD、增量提交。
  6. Git 与 PR(~8):规范提交、小 PR、AI 辅助审查。

三、调试与成本(~16)

  • 调试(~10):先复现定位,再修;利用错误信息;避免无脑重试。
  • 性能与成本(~6):控制上下文长度、缓存、批量、选对模型档位。

四、通用铁律(给用户的话)

  • 上下文比 prompt 措辞更重要:把"项目记忆"写好,胜过每次长提示。
  • 小步快跑:每步可验证、可回退,比一次性大改动稳。
  • 证据优先:让 AI 跑测试/命令并贴结果,不要信"应该好了"。
  • 安全:密钥别进提示;警惕 AI 生成的危险命令;敏感数据不外传。

用户卡住时,先判断是"上下文问题 / 提示词问题 / 工具能力边界",再给对应解法,附具体命令或模板。

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