🚀 For AI Coding Assistants

LLM Proxy for Coding Assistants

Build powerful AI coding assistants with unified access to Claude, GPT-4, and code-specialized models. Optimized for code completion, refactoring, and pair programming.

Get Started View Documentation

Optimized for Code

Purpose-built features for coding assistant infrastructure

💡

Intelligent Code Completion

Real-time code suggestions with context-aware completions powered by multiple LLM providers.

  • Multi-line code completion
  • Language-specific optimization
  • Context window management
  • Low-latency streaming
🔧

Code Refactoring

Intelligent code transformation and improvement suggestions across entire codebases.

  • Automated refactoring
  • Style consistency
  • Performance optimization
  • Code smell detection
🤝

Pair Programming

AI-powered pair programming with real-time collaboration and intelligent suggestions.

  • Interactive coding sessions
  • Code explanation
  • Debugging assistance
  • Learning mode
📋

Code Review Assistant

Automated code review with intelligent feedback and best practice suggestions.

  • PR review automation
  • Security vulnerability checks
  • Performance analysis
  • Documentation generation

Popular Use Cases

VS Code Extension

Build VS Code extensions with AI-powered code completion using the unified API.

JetBrains Plugin

Create intelligent plugins for IntelliJ and other JetBrains IDEs.

Web-Based Editor

Power browser-based code editors with AI completion capabilities.

CI/CD Integration

Automated code review and testing in your pipeline.

Code Sandbox

Interactive coding environments with AI assistance for learning.

Enterprise Code Assistant

Internal coding assistants with custom model configurations.

Quick Integration

completion.py 
# Code completion with streaming
import requests

def get_code_completion(code, cursor_position):
    response = requests.post(
        "https://proxy.example.com/v1/completions",
        json={
            "model": "code-llama-34b",
            "prompt": code,
            "cursor_position": cursor_position,
            "max_tokens": 100,
            "stream": True
        }
    )
    return response.iter_lines()

# Usage
for chunk in get_code_completion(current_code, pos):
    print(chunk)

Model Comparison for Coding

Model Code Quality Speed Context Best For
Claude 3 Opus ★★★★★ Fast 200K Complex reasoning
GPT-4 Turbo ★★★★★ Very Fast 128K General coding
Code Llama ★★★★☆ Ultra Fast 16K Completion
StarCoder ★★★★☆ Fast 8K Open source
DeepSeek Coder ★★★★★ Fast 16K Code-specific

IDE Integrations

VS Code

Official extension

JetBrains

All IDEs supported

Vim/Neovim

Plugin available

Emacs

LSP integration

Zed

Native support

Sublime Text

Package available

🔗 Related Resources

Claude Code Gateways | Local Development | Tools Comparison | Free Tools