Continue.dev: 33K+ Stars — 开源 AI 编程助手对比 Copilot、Cursor 2026

# 方法 1：应用商店搜索
# 打开 VS Code → 扩展 (Ctrl+Shift+X) → 搜索 "Continue" → 安装

# 方法 2：直接安装链接
# 在 VS Code 应用商店中点击 Continue

# 打开 JetBrains IDE (IntelliJ IDEA、PyCharm 等)
# 文件 → 设置 → 插件 → 应用市场
# 搜索 "Continue" → 安装 → 重启 IDE

# VS Code: 打开侧边栏 (Ctrl+L) → 齿轮图标 → 显示版本 v1.2.22
# 预期结果：左侧边栏显示橙色 "C" 图标

# macOS / Linux
mkdir -p ~/.continue
cat > ~/.continue/config.yaml << 'EOF'
name: 我的开发环境
version: 1.0.0
schema: v1

models:
  - name: Claude Sonnet
    provider: anthropic
    model: claude-sonnet-4-6
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}
    roles: [chat, edit, agent]
    defaultCompletionOptions:
      temperature: 0.1
      maxTokens: 8192

  - name: GPT-4o
    provider: openai
    model: gpt-4o
    apiKey: ${{ secrets.OPENAI_API_KEY }}
    roles: [chat, edit]
EOF

# Windows: %USERPROFILE%\.continue\config.yaml

# 添加到 ~/.bashrc 或 ~/.zshrc
export ANTHROPIC_API_KEY="sk-ant-xxxxx"
export OPENAI_API_KEY="sk-xxxxx"

# 第 1 步：安装 Ollama
# macOS: brew install ollama
# Linux: curl -fsSL https://ollama.com/install.sh | sh

# 第 2 步：拉取模型
ollama pull qwen2.5-coder:7b      # 聊天和编辑
ollama pull qwen2.5-coder:1.5b    # 快速自动补全
ollama pull nomic-embed-text       # @codebase 使用的嵌入模型

# 第 3 步：启动 Ollama 服务器（默认：http://localhost:11434）
ollama serve

models:
  - name: Qwen Coder 7B
    provider: ollama
    model: qwen2.5-coder:7b
    apiBase: http://localhost:11434
    roles: [chat, edit]

  - name: Qwen Coder 1.5B 快速版
    provider: ollama
    model: qwen2.5-coder:1.5b
    apiBase: http://localhost:11434
    roles: [autocomplete]
    autocompleteOptions:
      debounceDelay: 300
      maxPromptTokens: 512

  - name: Nomic Embed
    provider: ollama
    model: nomic-embed-text
    apiBase: http://localhost:11434
    roles: [embed]

# Dockerfile.continue-ci
FROM node:20-slim

RUN npm install -g @continuedev/cli

COPY .continue/config.yaml /root/.continue/config.yaml
ENV ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}

# 在 CI 中运行 Continue 检查
CMD ["continue", "check", "--config", "/root/.continue/config.yaml"]

# docker-compose.yml 团队 Ollama + Continue
version: '3.8'
services:
  ollama:
    image: ollama/ollama:latest
    volumes:
      - ollama-data:/root/.ollama
    ports:
      - "11434:11434"
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

volumes:
  ollama-data:

# ~/.continue/config.yaml —— 生产级 VS Code 配置
name: 生产环境 VS Code
version: 1.0.0
schema: v1

models:
  # 主力：Claude 处理复杂任务
  - name: Claude Sonnet 4.6
    provider: anthropic
    model: claude-sonnet-4-6
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}
    roles: [chat, edit, agent]
    defaultCompletionOptions:
      temperature: 0.1
      maxTokens: 8192

  # 备用：GPT-4o 追求速度
  - name: GPT-4o
    provider: openai
    model: gpt-4o
    apiKey: ${{ secrets.OPENAI_API_KEY }}
    roles: [chat]

  # 自动补全：本地模型零延迟
  - name: Qwen 1.5B 本地
    provider: ollama
    model: qwen2.5-coder:1.5b
    apiBase: http://localhost:11434
    roles: [autocomplete]

  # 嵌入：本地保护隐私
  - name: Nomic Embed 本地
    provider: ollama
    model: nomic-embed-text
    apiBase: http://localhost:11434
    roles: [embed]

context:
  - provider: code
  - provider: docs
  - provider: diff
  - provider: terminal
  - provider: codebase

rules:
  - name: TypeScript 标准
    pattern: "**/*.ts"
    rule: |
      使用严格 TypeScript。优先使用 interface 而非 type。
      使用 async/await，不使用回调。显式处理所有错误。

# 验证 Ollama 正在运行
curl http://localhost:11434/api/tags

# 预期输出：可用模型列表
# {"models":[{"name":"qwen2.5-coder:7b",...}]}

models:
  - name: Claude Opus
    provider: anthropic
    model: claude-opus-4-6
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}
    roles: [chat, edit, agent]
    defaultCompletionOptions:
      temperature: 0.2
      maxTokens: 16384

models:
  - name: GPT-4o
    provider: openai
    model: gpt-4o
    apiKey: ${{ secrets.OPENAI_API_KEY }}
    roles: [chat, edit]

  - name: GPT-4o-mini
    provider: openai
    model: gpt-4o-mini
    apiKey: ${{ secrets.OPENAI_API_KEY }}
    roles: [autocomplete]
    defaultCompletionOptions:
      maxTokens: 1024

# 全局（所有项目）
# macOS: ~/.continue/config.yaml
# Windows: %USERPROFILE%\.continue\config.yaml

# 项目级
# <项目根目录>/.continue/config.yaml

mcpServers:
  - name: filesystem
    command: npx
    args: ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/projects"]

  - name: github
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
    env:
      GITHUB_PERSONAL_ACCESS_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  - name: postgres
    command: npx
    args: ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]

# 优化成本性能配置
models:
  - name: Claude Haiku
    provider: anthropic
    model: claude-haiku-4-5
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}
    roles: [chat]  # $0.25/百万 tokens

  - name: Qwen 7B 本地
    provider: ollama
    model: qwen2.5-coder:7b
    roles: [autocomplete, edit]  # 免费

# 启用带工具策略的 Agent 模式
models:
  - name: Claude Sonnet Agent
    provider: anthropic
    model: claude-sonnet-4-6
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}
    roles: [chat, edit, agent]
    capabilities:
      - tool_use
      - image_input

# ~/.continue/rules/typescript.yaml
name: TypeScript 规则
version: 1.0.0
schema: v1

rules:
  - pattern: "**/*.ts"
    rule: |
      1. 使用严格 TypeScript（noImplicitAny、strictNullChecks）
      2. 优先使用 `interface` 而非 `type` 定义对象形状
      3. 始终使用 try/catch 处理 Promise 拒绝
      4. 使用依赖注入，避免全局状态
      5. 函数不得超过 50 行

# 切勿硬编码 API 密钥。使用环境变量替换：
models:
  - name: Claude
    provider: anthropic
    model: claude-sonnet-4-6
    apiKey: ${{ secrets.ANTHROPIC_API_KEY }}  # 来自环境变量

# CI/CD 中使用运行器的密钥存储：
# GitHub Actions: ${{ secrets.ANTHROPIC_API_KEY }}
# GitLab CI: $ANTHROPIC_API_KEY (CI/CD 变量)

# 跟踪每个模型的 API 费用
# 添加到 shell 配置文件：
export CONTINUE_LOG_LEVEL=debug

# 日志写入位置：
# macOS: ~/Library/Logs/Continue/
# Linux: ~/.config/Continue/logs/
# Windows: %APPDATA%\Continue\logs\