AI-Powered Development

Build applications faster with cutting-edge AI assistance

Natural Language to Code

Describe what you want to build in plain English, and AI generates the code

Capabilities

  • Generate complete components from descriptions
  • Create API endpoints and database schemas
  • Build entire pages with routing and logic
  • Understand context from your existing codebase

Intelligent Code Completion

AI-powered suggestions that understand your intent and coding style

Capabilities

  • Context-aware code suggestions
  • Multi-line completions
  • Import statement auto-generation
  • Type-safe completions for TypeScript

Automatic Refactoring

Let AI improve your code quality and performance automatically

Capabilities

  • Extract functions and components
  • Optimize performance bottlenecks
  • Apply best practices and patterns
  • Convert between frameworks and libraries

AI Chat Assistant

Ask questions and get instant answers about your code

Capabilities

  • Explain complex code sections
  • Debug errors and suggest fixes
  • Provide documentation and examples
  • Answer technical questions in real-time

Smart Bug Detection

AI identifies potential bugs before they become problems

Capabilities

  • Detect logic errors and edge cases
  • Find security vulnerabilities
  • Identify performance issues
  • Suggest preventive solutions

Code Optimization

AI analyzes and optimizes your code for better performance

Capabilities

  • Reduce bundle sizes automatically
  • Optimize database queries
  • Improve rendering performance
  • Suggest caching strategies

Neural Pulse Monitor

Real-time health monitoring of your AI connectivity and performance

Capabilities

  • Track real-time response latency (ms)
  • Visual status indicators for all AI nodes
  • Auto-detection of model capabilities
  • Persistent connectivity history

Auto-Verification Protocol

Self-healing connection management that ensures zero downtime

Capabilities

  • Automated background connection health tests
  • Smart triggers on configuration changes
  • Plain-English diagnostic reports
  • Actionable guidance for API issues

AI Model Optimization

Fine-tune AI performance on a per-project basis

Capabilities

  • Select specific models for different tasks
  • Project-specific default model persistence
  • Context-window optimization
  • Hardware-accelerated local inference

Supported AI Models

🤖

GPT-4

OpenAI

CodeChat
🧠

Claude 3

Anthropic

CodeAnalysis

Gemini Pro

Google

CodeMulti-modal
🦙

Llama 3

Meta (Local)

LocalFast
💻

CodeLlama

Meta (Local)

CodeLocal

Qwen 2.5

Alibaba (Local)

CodeFast
🐳

DeepSeek V3

DeepSeek (Local/Cloud)

CodeLogic
🌪️

Mistral Large

Mistral AI

CodeChat
💎

Gemma 2

Google (Local)

LocalFast

The Local-First Revolution

"We believe the future of development is private. That's why Codiner natively supports local inference through Ollama."

Ollama Orchestration

Automatically detect and manage local models like Llama 3, DeepSeek, and Mistral without manual config.

Private Logic Layer

Your source code never leaves your workstation. AI analysis happens entirely in RAM/VRAM.

Hardware Acceleration

Optimized for NVIDIA CUDA, Apple Silicon (Metal), and AMD ROCm for peak local performance.

AI Assistance Workflow

1

Describe Your Intent

Type what you want to build in natural language. Be as detailed or high-level as you like.

2

AI Analyzes Context

The AI understands your project structure, dependencies, and coding patterns to provide relevant suggestions.

3

Code Generation

AI generates production-ready code that follows best practices and integrates seamlessly with your project.

4

Review & Refine

Review the generated code, make adjustments, and ask the AI to refine specific parts as needed.