---
title: VSCode AI Coding Plugins Compared: GitHub Copilot vs Continue.dev vs Kilo Code
url: https://devopstales.github.io/ai/vscode-ai-coding-plugins-comparison/
date: 2026-03-24
---


AI-powered coding assistants have become essential tools for modern developers. In this post, I'll compare three popular VSCode extensions: **GitHub Copilot**, **Continue.dev**, and **Kilo Code** (kilo.io), helping you choose the right one for your workflow.

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## GitHub Copilot

![GitHub Copilot](https://github.com/features/copilot)

**GitHub Copilot** is the original AI pair programmer, powered by OpenAI's Codex and GPT models.

### Features

- **Inline code suggestions**: Real-time code completions as you type
- **Chat interface**: Ask questions about your codebase
- **Copilot Edits**: Multi-file editing with natural language instructions
- **Context awareness**: Understands your current file and project structure
- **Multiple model support**: GPT-4, Claude, and custom models (depending on plan)

### Pricing

| Plan | Price | Features |
|------|-------|----------|
| **Individual** | $10/month or $100/year | Unlimited completions, chat, edits |
| **Business** | $19/user/month | IP indemnity, org policies, audit logs |
| **Enterprise** | $39/user/month | SSO, advanced security, dedicated support |
| **Free** | $0 | Students, teachers, OSS maintainers |

### Pros

- ✅ Mature and stable product
- ✅ Excellent code completion quality
- ✅ Deep integration with GitHub ecosystem
- ✅ Strong enterprise features and security
- ✅ Works offline for basic completions (recent feature)
- ✅ Supports 20+ programming languages
- ✅ Fast response times

### Cons

- ❌ Closed-source models
- ❌ Limited customization options
- ❌ Can be expensive for teams
- ❌ Code may be sent to Microsoft servers (privacy concerns)
- ❌ No local model support
- ❌ Limited context window (varies by model)

### Best For

Teams already in the GitHub ecosystem, enterprises needing security guarantees, and developers who want a polished, out-of-the-box experience.

### Installation

```bash
# In VS Code
# 1. Open Extensions (Cmd+Shift+X)
# 2. Search for "GitHub Copilot"
# 3. Click Install
# 4. Sign in with GitHub account

# Or via CLI
code --install-extension GitHub.copilot
code --install-extension GitHub.copilot-chat
```

### Configuration

```json
// settings.json
{
  "github.copilot.enable": {
    "*": true,
    "plaintext": false,
    "markdown": false
  },
  "github.copilot.editor.enableAutoCompletions": true,
  "github.copilot.chat.codeGeneration.style": "balanced"
}
```

---

## Continue.dev

![Continue.dev](https://continue.dev)

**Continue.dev** is an open-source AI code assistant that gives you complete control over your AI models and configuration.

### Features

- **Open Source**: Full transparency and customization
- **Model Agnostic**: Use any LLM (Claude, GPT, Llama, local models)
- **Custom Context**: Define what context the AI sees
- **Slash Commands**: Custom commands for common tasks
- **Tab Autocomplete**: Intelligent code completion
- **Chat & Edit**: Conversational interface with code editing
- **Local Models**: Run models locally with Ollama, LM Studio

### Pricing

| Plan | Price | Features |
|------|-------|----------|
| **Open Source** | Free | Full extension, bring your own API keys |
| **Continue Pro** | $20/month | Included API credits, cloud sync |
| **Enterprise** | Custom | SSO, audit logs, dedicated support |

**Note:** With the free version, you pay directly for API usage (OpenAI, Anthropic, etc.)

### Pros

- ✅ Completely open-source
- ✅ Works with any LLM provider
- ✅ Supports local models (Ollama, LM Studio)
- ✅ Highly customizable
- ✅ No vendor lock-in
- ✅ Active community
- ✅ Privacy-focused (local models)

### Cons

- ❌ Requires more setup and configuration
- ❌ Quality depends on chosen model
- ❌ Less polished than Copilot
- ❌ Smaller team behind the project
- ❌ Documentation can be sparse

### Best For

Developers who want control over their AI stack, privacy-conscious teams, and those who prefer open-source solutions.

### Installation

```bash
# In VS Code
# 1. Open Extensions (Cmd+Shift+X)
# 2. Search for "Continue"
# 3. Click Install

# Or via CLI
code --install-extension continue.continue
```

### Configuration

Continue uses `config.ts` for configuration:

```typescript
// .continue/config.ts
import { defineConfig } from "@continue/config";

export default defineConfig({
  models: [
    {
      title: "Claude 3.5 Sonnet",
      provider: "anthropic",
      model: "claude-3-5-sonnet-20241022",
      apiKey: process.env.ANTHROPIC_API_KEY,
    },
    {
      title: "Ollama - Llama 3",
      provider: "ollama",
      model: "llama3:8b",
      apiBase: "http://localhost:11434",
    },
    {
      title: "GPT-4 Turbo",
      provider: "openai",
      model: "gpt-4-turbo-preview",
      apiKey: process.env.OPENAI_API_KEY,
    },
  ],
  
  tabAutocompleteModel: {
    title: "Ollama - StarCoder",
    provider: "ollama",
    model: "starcoder2:3b",
    apiBase: "http://localhost:11434",
  },
  
  context: [
    {
      name: "docs",
      provider: "docs",
      params: {
        docs: [
          "https://react.dev",
          "https://nodejs.org/docs",
        ],
      },
    },
    {
      name: "codebase",
      provider: "codebase",
    },
  ],
  
  slashCommands: [
    {
      name: "test",
      description: "Generate unit tests",
    },
    {
      name: "review",
      description: "Review code for issues",
    },
    {
      name: "refactor",
      description: "Refactor selected code",
    },
  ],
});
```

### Example Usage

```bash
// In chat: @codebase Explain the authentication flow

// Slash command: /test src/auth/login.ts

// Custom command: "Refactor this function to use async/await"
```

---

## Kilo Code

![Kilo Code](https://kiro.dev)

**Kilo Code** (from kiro.dev) is an agentic AI platform that goes beyond code completion to manage entire development workflows.

### Features

- **Agentic AI**: Autonomous task execution with planning
- **Multiple Modes**: Orchestrator, Architect, Code, Debug
- **Spec-Driven Development**: Structured approach to feature building
- **Codebase Indexing**: Semantic search with Qdrant
- **Steering Rules**: Persistent custom instructions
- **Custom Agents**: Specialized AI personas
- **MCP Integration**: Connect to external tools (GitHub, databases)
- **Skills System**: Modular expertise packages
- **Parallel Agents**: Multiple agents working simultaneously
- **Git Worktree Integration**: Isolated development environments

### Pricing

| Plan | Price | Features |
|------|-------|----------|
| **Free Tier** | $0 | 2,000 requests/day with Qwen, basic features |
| **Pro** | $15/month | Unlimited requests, premium models, advanced features |
| **Team** | $30/user/month | Shared context, team rules, collaboration |
| **Enterprise** | Custom | Self-hosted, SSO, audit logs, SLA |

### Pros

- ✅ Full agentic capabilities (not just completion)
- ✅ Spec-driven development workflow
- ✅ Highly customizable with steering rules
- ✅ Local model support (Ollama, Qwen)
- ✅ Parallel agent execution
- ✅ MCP integration for external tools
- ✅ Skills system for specialized tasks
- ✅ Git worktree integration
- ✅ Open architecture

### Cons

- ❌ Steeper learning curve
- ❌ More complex setup
- ❌ Newer product (less mature)
- ❌ Smaller community
- ❌ Documentation still growing

### Best For

Teams building complex features, developers who want AI to handle entire workflows, and those who value customization and control.

### Installation

```bash
# VS Code Extension
code --install-extension kilo.kilo-code

# Or standalone IDE
# Download from https://kiro.dev

# CLI installation
npm install -g kiro
# or
bun install -g kiro
```

### Configuration

```json
// .kilocode/config.json
{
  "provider": "qwen-code",
  "model": "qwen-coder-plus",
  "mode": "orchestrator",
  "indexing": {
    "enabled": true,
    "provider": "qdrant",
    "embedding": {
      "model": "nomic-embed-text",
      "provider": "ollama"
    }
  },
  "steering": {
    "rules": ["coding-standards", "security", "testing"]
  },
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "${GITHUB_TOKEN}"
      }
    }
  }
}
```

### Example Usage

```bash
// Spec-driven development
/spec "Build a user authentication system with JWT"

// Mode switching
/mode architect "Design the database schema"
/mode code "Implement the login endpoint"
/mode debug "Fix the failing tests"

// Custom agent
/agent security-reviewer "Audit the auth code"

// Parallel agents
kiro agent-manager start "Build full-stack feature"
```

---

## Feature Comparison Table

| Feature | GitHub Copilot | Continue.dev | Kilo Code |
|---------|---------------|--------------|-----------|
| **Code Completion** | ✅ Excellent | ✅ Good | ✅ Good |
| **Chat Interface** | ✅ Yes | ✅ Yes | ✅ Yes |
| **Multi-file Editing** | ✅ Copilot Edits | ✅ Yes | ✅ Yes |
| **Codebase Context** | ✅ Limited | ✅ Configurable | ✅ Semantic Index |
| **Custom Models** | ⚠️ Limited | ✅ Any LLM | ✅ Any LLM |
| **Local Models** | ❌ No | ✅ Yes | ✅ Yes |
| **Open Source** | ❌ No | ✅ Yes | ⚠️ Partial |
| **Agentic Features** | ❌ No | ⚠️ Limited | ✅ Full |
| **Spec-Driven Dev** | ❌ No | ❌ No | ✅ Yes |
| **Custom Agents** | ❌ No | ⚠️ Limited | ✅ Yes |
| **MCP Integration** | ❌ No | ⚠️ Limited | ✅ Yes |
| **Parallel Agents** | ❌ No | ❌ No | ✅ Yes |
| **Git Integration** | ⚠️ Basic | ⚠️ Basic | ✅ Worktrees |
| **Steering Rules** | ❌ No | ⚠️ Limited | ✅ Yes |
| **Skills System** | ❌ No | ❌ No | ✅ Yes |
| **Free Tier** | ⚠️ Limited | ✅ Yes | ✅ Generous |
| **Enterprise Ready** | ✅ Yes | ⚠️ Growing | ✅ Yes |

---

## Performance Comparison

### Code Completion Speed

| Tool | Average Latency | First Token |
|------|-----------------|-------------|
| GitHub Copilot | ~100-200ms | ~50ms |
| Continue.dev (GPT-4) | ~500-1000ms | ~200ms |
| Continue.dev (Local) | ~200-500ms | ~100ms |
| Kilo Code (Qwen) | ~300-600ms | ~150ms |

### Code Quality (Benchmarks)

Based on HumanEval and internal testing:

| Tool | Pass@1 | Pass@10 | Notes |
|------|--------|---------|-------|
| GitHub Copilot (GPT-4) | ~75% | ~90% | Best for common patterns |
| Continue.dev (Claude 3.5) | ~78% | ~92% | Best for complex reasoning |
| Continue.dev (GPT-4) | ~75% | ~90% | Similar to Copilot |
| Kilo Code (Qwen-Coder-Plus) | ~72% | ~88% | Best for agentic tasks |
| Continue.dev (Llama 3) | ~55% | ~75% | Good for local use |

### Context Window

| Tool | Default Context | Maximum Context |
|------|-----------------|-----------------|
| GitHub Copilot | ~8K tokens | ~128K (Claude) |
| Continue.dev | Configurable | Model dependent |
| Kilo Code | ~100K tokens | 1M (with Qwen) |

---

## Use Case Recommendations

### Choose GitHub Copilot If:

- ✅ You want the most polished experience
- ✅ You're already using GitHub Enterprise
- ✅ You need enterprise security features
- ✅ You prefer minimal configuration
- ✅ Budget is not a primary concern

**Example Scenario:**
```bash
Enterprise team at a Fortune 500 company:
- Need IP indemnity
- Require audit logs
- Want seamless GitHub integration
- Budget approved for premium tools
```

### Choose Continue.dev If:

- ✅ You want open-source software
- ✅ You need to use local models
- ✅ You want to switch between multiple LLMs
- ✅ Privacy is a top concern
- ✅ You're comfortable with configuration

**Example Scenario:**
```bash
Privacy-focused startup:
- Can't send code to external APIs
- Want to run models locally
- Need flexibility to switch providers
- Prefer open-source stack
```

### Choose Kilo Code If:

- ✅ You're building complex features
- ✅ You want AI to manage entire workflows
- ✅ You need parallel agent execution
- ✅ You value spec-driven development
- ✅ You want deep customization

**Example Scenario:**
```bash
Development team building a new product:
- Need to build full-stack features
- Want AI to handle planning + execution
- Need to coordinate multiple agents
- Value structured development approach
```

---

## Real-World Examples

### Task: Build a REST API Endpoint

**GitHub Copilot:**
```bash
Developer types: // Create a GET endpoint for /api/users/:id
Copilot suggests the route handler code
Developer reviews and accepts
Developer types: // Add error handling
Copilot suggests try-catch blocks
```

**Continue.dev:**
```bash
Developer: @codebase Create a GET endpoint for /api/users/:id
Continue generates the complete handler
Developer: Add error handling and validation
Continue updates the code
```

**Kilo Code:**
```bash
Developer: /spec "Build user API with CRUD endpoints"
Kilo creates specification
Developer: Approve spec
Kilo creates tasks, implements, tests
Developer reviews final result
```

### Task: Debug a Production Issue

**GitHub Copilot:**
```bash
Developer pastes error message
Copilot suggests possible causes
Developer asks follow-up questions
Copilot suggests fixes
```

**Continue.dev:**
```bash
Developer: @logs Analyze this error stack
Continue explains the issue
Developer: @codebase Where could this originate?
Continue searches codebase
```

**Kilo Code:**
```bash
Developer: /mode debug "Fix the 500 error on /checkout"
Debug mode analyzes logs
Identifies root cause
Proposes and applies fix
Runs tests to verify
```

---

## Migration Guide

### From GitHub Copilot to Continue.dev

```json
// 1. Install Continue.dev
code --install-extension continue.continue

// 2. Configure similar experience
// .continue/config.ts
{
  models: [{
    provider: "openai",
    model: "gpt-4-turbo-preview",
  }],
  tabAutocompleteModel: {
    provider: "openai",
    model: "gpt-4-turbo-preview",
  }
}

// 3. Uninstall Copilot
code --uninstall-extension GitHub.copilot
```

### From GitHub Copilot to Kilo Code

```json
// 1. Install Kilo Code
code --install-extension kilo.kilo-code

// 2. Configure provider
// .kilocode/config.json
{
  "provider": "openai",
  "model": "gpt-4-turbo-preview"
}

// 3. Learn Kilo modes
/mode code  // Similar to Copilot chat
```

### From Continue.dev to Kilo Code

```json
// 1. Export Continue config
// Review .continue/config.ts

// 2. Install Kilo Code
code --install-extension kilo.kilo-code

// 3. Migrate models
// .kilocode/config.json
{
  "provider": "anthropic",
  "model": "claude-3-5-sonnet-20241022"
}

// 4. Explore Kilo features
/spec "Try spec-driven development"
```

---

## Cost Analysis

### Annual Cost for Team of 10

| Tool | Plan | Annual Cost |
|------|------|-------------|
| GitHub Copilot | Business | $2,280 |
| Continue.dev | Pro (10 users) | $2,400 + API costs |
| Kilo Code | Team | $3,600 |

**Note:** Continue.dev API costs vary based on usage. Estimate ~$50-200/month for active team.

### Individual Developer Annual Cost

| Tool | Plan | Annual Cost |
|------|------|-------------|
| GitHub Copilot | Individual | $100 |
| Continue.dev | Free + API | ~$60-240 |
| Kilo Code | Free/Pro | $0-180 |

---

## Security Considerations

### GitHub Copilot

- ✅ SOC 2 Type II certified
- ✅ Data encrypted in transit and at rest
- ✅ Enterprise: Code not used for training
- ⚠️ Code sent to Microsoft servers
- ⚠️ Limited control over data handling

### Continue.dev

- ✅ Open-source (auditable)
- ✅ Local models keep data on-device
- ✅ You control API endpoints
- ⚠️ Cloud models depend on provider
- ⚠️ Configuration security is your responsibility

### Kilo Code

- ✅ Local model support
- ✅ Configurable data handling
- ✅ Enterprise: Self-hosted option
- ✅ MCP servers can be audited
- ⚠️ Newer product (less security track record)

---

## Conclusion

Each tool excels in different scenarios:

| Need | Best Choice |
|------|-------------|
| **Polished Experience** | GitHub Copilot |
| **Open Source** | Continue.dev |
| **Local Models** | Continue.dev |
| **Agentic Workflows** | Kilo Code |
| **Enterprise Security** | GitHub Copilot |
| **Complex Features** | Kilo Code |
| **Budget Conscious** | Continue.dev / Kilo Free |
| **Team Collaboration** | GitHub Copilot / Kilo Code |

**My Recommendation:**

- **Start with Kilo Code's free tier** if you're building complex features and want to explore agentic AI
- **Choose GitHub Copilot** if you want the most polished, enterprise-ready solution
- **Choose Continue.dev** if you value open-source and want maximum flexibility

The best approach? Try all three! Each offers a free tier or trial.