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.
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](/tutorials/prompt-engineering-chinese-models/)
> 📝 Based on VS Code + Continue.dev/Cline + DeepSeek, tested June 2026.