AI Coding in Practice: VS Code + DeepSeek Coder 10x Productivity Guide
Set up DeepSeek Coder in VS Code with Continue.dev, Cline, or Copilot for AI code completion, generation, refactoring, and testing.
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
| Shortcut | Function |
|---|---|
Ctrl+I | Inline editing (select code → AI modifies) |
Ctrl+L | Chat in sidebar |
Ctrl+Shift+R | Quick refactoring |
Ctrl+K | Quick slash command input |
Tab | Accept 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 (coming soon)
> 📝 Based on VS Code + Continue.dev/Cline + DeepSeek, tested June 2026.