Best Local AI for Coding in 2026

Why Use Local AI for Coding?

GitHub Copilot changed how developers write code, but it comes with real tradeoffs. Local alternatives offer compelling advantages:

Your Code Stays Private

With Copilot, every keystroke is sent to Microsoft's servers. Local AI processes everything on your machine — your proprietary code, trade secrets, and client work never leave your computer.

No Subscription Fees

Copilot costs $10-19/month per user. Local alternatives are free forever. For a team of 10, that's $2,280/year in savings.

Works Offline

Code on planes, in secure facilities, or during outages. Local AI doesn't need an internet connection.

No Rate Limits

Copilot can throttle usage during peak times. Local models have no restrictions.

Full Control

Choose your model, customize prompts, adjust parameters. No vendor lock-in.

Quick Comparison

1. Continue.dev — Best Overall

Continue is the most popular open-source AI code assistant. It integrates with VSCode and JetBrains IDEs to provide autocomplete, chat, and refactoring tools.

Key Features

• Autocomplete: Inline code suggestions as you type
• Chat: Ask questions about your code in a sidebar
• Refactoring: Highlight code and ask for improvements
• Local LLM support: Works with Ollama, LM Studio, and more
• OpenAI-compatible: Also works with GPT-4, Claude, etc.

Setup

1. Install Continue from the VSCode marketplace
2. Install Ollama and pull a code model: ollama pull deepseek-coder-v2:16b
3. Configure Continue to use Ollama

View Continue in our directory →

2. Tabby — Best for Teams

Tabby is a self-hosted code completion server designed for teams. It runs on your infrastructure and provides completions to all team members.

Key Features

• Self-hosted: Run on your own servers
• Team support: Multi-user with usage analytics
• Repository indexing: Understands your codebase
• Admin dashboard: Monitor usage and manage users
• Fast inference: Optimized for low latency

Setup (Docker)

docker run -it \
  --gpus all \
  -p 8080:8080 \
  -v ~/.tabby:/data \
  tabbyml/tabby \
  serve --model TabbyML/DeepSeekCoder-6.7B

View Tabby in our directory →

3. Cody — Best Code Intelligence

Cody by Sourcegraph combines AI with deep code understanding. It knows your entire codebase, not just the file you're editing.

Key Features

• Codebase awareness: Understands your entire project
• Multi-repo support: Search across repositories
• Advanced refactoring: Architectural suggestions
• Test generation: Create comprehensive tests
• Local mode: Enterprise plan supports local LLMs

View Cody in our directory →

4. Codeium — Easiest Setup

Codeium offers a free individual tier with excellent autocomplete. It's the fastest way to get AI coding assistance.

Key Features

• Free forever: Unlimited autocomplete for individuals
• 20+ IDE support: VSCode, JetBrains, Vim, Neovim, and more
• 70+ languages: Supports virtually every programming language
• Fast suggestions: Typically under 200ms
• Self-hosted option: Enterprise plan available

View Codeium in our directory →

5. Fauxpilot — Copilot Clone

Fauxpilot provides an API compatible with GitHub Copilot, so you can use existing Copilot plugins with your own local models.

Key Features

• Copilot API compatible: Works with existing extensions
• Model flexibility: Use any model you want
• Self-hosted: Full control over infrastructure
• NVIDIA Triton: Optimized inference backend

View Fauxpilot in our directory →

Setup Guide: Continue + Ollama

Here's the fastest way to get local AI coding assistance running:

Step 1: Install Ollama

# macOS/Linux
curl -fsSL https://ollama.ai/install.sh | sh

# Windows: Download from ollama.ai

Step 2: Download a Code Model

# Best overall coding model
ollama pull deepseek-coder-v2:16b

# Or smaller/faster
ollama pull qwen2.5-coder:7b

Step 3: Install Continue

1. Open VSCode
2. Go to Extensions (Cmd/Ctrl+Shift+X)
3. Search "Continue"
4. Click Install

Step 4: Configure Continue

1. Open Continue sidebar (click icon in sidebar)
2. Click settings gear
3. Add configuration for Ollama:

{
  "models": [{
    "title": "DeepSeek Coder",
    "provider": "ollama",
    "model": "deepseek-coder-v2:16b"
  }],
  "tabAutocompleteModel": {
    "title": "DeepSeek Coder",
    "provider": "ollama",
    "model": "deepseek-coder-v2:16b"
  }
}

Step 5: Start Coding!

• Autocomplete appears as you type
• Press Tab to accept suggestions
• Highlight code and ask questions in Continue sidebar
• Use keyboard shortcuts for quick actions

Best Models for Code Completion

Top Coding Models

Download Commands

# Best overall
ollama pull deepseek-coder-v2:16b

# Fast option
ollama pull qwen2.5-coder:7b

# Smaller/Faster
ollama pull codellama:7b

Hardware Requirements

Minimum (7B Models)

• 8GB RAM
• Modern 4-core CPU
• No GPU required

Recommended (Better Quality)

• 16GB RAM
• Apple Silicon or 8GB GPU
• For 13-16B models

Optimal (Best Quality)

• 32GB+ RAM
• 16GB+ VRAM (RTX 4060/4090)
• For large models or multiple developers

Local AI vs GitHub Copilot

Verdict

Copilot still has a slight quality edge and is easier to set up, but local alternatives are catching up fast. For privacy-conscious developers and teams, local AI is now a viable, cost-effective alternative.