Practical Tutorials Beginner

AI Coding in Practice: VS Code + DeepSeek Coder 10x Productivity Guide

Complete workflow for VS Code integrated with DeepSeek Coder: Continue.dev/Cline/Copilot configuration, AI-driven development for code completion/generation/refactoring/testing, context management tips.

VS CodeCodingDeepSeekCoderToolsProductivity

What Problem Does This Tutorial Solve?

You will turn VS Code into an AI-powered super editor:

  • Continue.dev integration with DeepSeek Coder
  • Cline fully autonomous coding agent
  • AI code completion configuration
  • Automatic code refactoring / testing / documentation generation
  • Context management tips

🎯 DeepSeek Coder surpasses GPT-4 on coding benchmarks at 1/10 the price. Combined with VS Code extensions, development productivity can improve by an order of magnitude.


Option 1: Continue.dev

Continue is the most popular open-source AI coding assistant, supporting all Chinese models.

# Install the Continue VS Code extension
# Search for "Continue" in the VS Code Extensions marketplace and install
// ~/.continue/config.json — Continue configuration
{
  "models": [
    {
      "title": "DeepSeek V4-Pro",
      "provider": "deepseek",
      "model": "deepseek-v4-pro",
      "apiKey": "your-api-key",
      "apiBase": "https://api.deepseek.com/v1",
      "contextLength": 128000,
      "maxTokens": 8192
    },
    {
      "title": "DeepSeek Coder (Local)",
      "provider": "ollama",
      "model": "deepseek-coder:6.7b",
      "apiBase": "http://localhost:11434"
    }
  ],
  "tabAutocompleteModel": {
    "title": "DeepSeek Coder Autocomplete",
    "provider": "deepseek",
    "model": "deepseek-v4-pro",
    "apiKey": "your-api-key"
  },
  "ui": {
    "fontSize": 13
  }
}

Continue Shortcuts

ShortcutFunction
Ctrl+IInline editing (select code → AI modifies)
Ctrl+LChat in sidebar
Ctrl+Shift+RQuick refactoring
Ctrl+KQuick slash command input
TabAccept AI completion suggestion

Option 2: Cline Autonomous Agent

Cline is an autonomous coding agent that can read/write files, execute terminal commands, and install dependencies.

# Install the Cline VS Code extension
// Cline configuration — using DeepSeek API
{
  "cline.apiProvider": "openai",
  "cline.openAiBaseUrl": "https://api.deepseek.com/v1",
  "cline.openAiApiKey": "your-api-key",
  "cline.openAiModel": "deepseek-v4-pro",
  "cline.maxTokens": 8192,
  "cline.temperature": 0
}

Cline Usage Tips

# Good Cline instructions:
"Create a Dashboard.tsx component under src/components/,
with user stats cards, a recent orders list, and a sales chart.
Use Tailwind CSS and ensure mobile responsiveness."

# Bad Cline instructions:
"Make me a dashboard"  ← Too vague

# Breaking down complex tasks:
1. "First, create the Dashboard skeleton component"
2. "Then add the stats data cards"
3. "Finally, integrate the chart component"

Option 3: GitHub Copilot + Chinese Models

// VS Code settings.json
{
  "github.copilot.chat.localeOverride": "zh-CN",
  "github.copilot.advanced": {
    "debug.overrideEngine": "deepseek"
  },
  "github.copilot.enable": {
    "*": true,
    "plaintext": true,
    "markdown": true
  }
}

AI Coding Workflow

1. Code Generation

In Continue:

Generate a Python FastAPI route:

Feature: User registration
Parameters: username, email, password
Requirements: bcrypt password hashing, email format validation, return JWT token

Also generate:
- Pydantic schema
- Unit tests (pytest)
- API documentation comments

2. Code Review

Select code → Ctrl+L → Type:

Review this code:
1. Security vulnerabilities (SQL injection, XSS, etc.)
2. Performance issues (N+1 queries, etc.)
3. Missing error handling
4. Improvement suggestions

3. Automated Refactoring

Select messy code → Ctrl+I → Type:

Refactor: extract common functions, reduce nesting, use early return

4. Generate Tests

Generate pytest tests for the selected function:
- 3 normal cases
- 3 edge cases
- 2 exception cases
- Use pytest fixtures

5. Generate Documentation

Generate documentation for this module:
- Function signatures and parameter descriptions
- Usage examples
- Important notes

6. Explain Code

/explain Explain the logic and execution flow of this code

Context Management

Selecting Relevant Files

// Continue Context Providers
"contextProviders": [
  { "name": "diff" },      // Current changes
  { "name": "terminal" },   // Terminal output
  { "name": "open" },       // Open files
  { "name": "search" },     // Search results
  { "name": "file" }        // Specific files
]

@-mentions for Context

@file:src/api/auth.ts  Follow this file's style to implement the login endpoint

@folder:src/models/  Create a User model based on existing model definitions

@terminal  Based on this error message, help me fix it

Coding Prompt Templates

Bug Fixing

Fix the following bug:

Error message:
{paste error log}

Relevant code:
{paste relevant code}

What I have tried:
- Attempt 1: ..., Result: ...
- Attempt 2: ..., Result: ...

Please analyze the root cause and provide a fix.

Feature Implementation

Implement the following feature:

Tech stack: FastAPI + SQLAlchemy + PostgreSQL
Requirement: User like/unlike feature
Requirements:
- A user can like a piece of content only once
- Support unliking
- Return current like count
- Database migration script
- API tests

Follow the style of @folder:src/api/ already in the project.

Performance Optimization

Optimize the following code for performance:

```python
{paste slow code}

Current performance: 15 seconds to process 10,000 records Target: < 1 second

Analyze the bottleneck and provide an optimization plan.


---

## Best Practices

| Practice | Description |
|----------|-------------|
| **Don't blindly trust** | AI-generated code must be reviewed + tested |
| **Execute step by step** | Break complex tasks into small steps, verify each one |
| **Set clear constraints** | Specify language, framework, style, library versions |
| **Provide context** | Include relevant files so the AI understands the project structure |
| **Preserve conversations** | Good chat history is valuable project knowledge |
| **Check versions** | AI may use outdated APIs — always verify |
| **Safety first** | Never let AI directly operate on production environments |

---

## FAQ

### Q: How do I choose between Continue, Cline, and Copilot?

**A**: Continue is best for daily assistance (free + customizable), Cline for autonomous execution of complex tasks, Copilot for code completion. Recommended combination: Continue + DeepSeek Coder.

### Q: Can AI-generated code go straight to production?

**A**: No. AI is an assistant, not a replacement. Generated code must go through Code Review + testing + security checks.

---

## Next Steps

- [DeepSeek API Beginner Guide](/tutorials/deepseek-api-beginner-guide/)
- [Prompt Engineering in Practice](/tutorials/prompt-engineering-chinese-models/)

> 📝 Based on VS Code + Continue.dev/Cline + DeepSeek, tested June 2026.
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