> ## Documentation Index
> Fetch the complete documentation index at: https://codinitdev-mintlify-update-changelog-codinit-dev-90028.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Quickstart - AI Coding Assistant Setup Guide
> Get started with CodinIT AI-powered IDE in minutes. Install the AI coding assistant, connect LLM providers like Claude and GPT-4, and start building with AI code generation.
## Start building with AI code generation in three steps
Launch your AI-powered IDE and create full-stack applications with intelligent AI coding assistance, automated code completion, and LLM-powered development tools.
Step 1: Set up your development environment
**Desktop App Version (Recommended)**
Download the latest release from GitHub:
* Visit [GitHub Releases](https://github.com/codinit-dev/codinit-dev/releases/latest)
* Download the installer for your platform:
* **Windows**: `.exe` installer
* **macOS**: `.dmg` installer
* **Linux**: `.AppImage` or `.deb` package
* Run the installer and follow the setup wizard
* Full-featured native application with automatic updates
**Alternative: Build from Source (for developers)**
Desktop App:
```bash theme={null}
git clone https://github.com/codinit-dev/codinit-dev.git
cd codinit-dev
```
Install dependencies using your preferred package manager:
```bash pnpm theme={null}
pnpm install
cp .env.example .env.local
pnpm run dev
```
```bash npm theme={null}
npm install
cp .env.example .env.local
npm run dev
```
```bash yarn theme={null}
yarn install
cp .env.example .env.local
yarn dev
```
Both versions offer Different features - choose based on your preference for native or web applications.
1. Open the CodinIT application
2. Create your workspace (local folder or Git repository)
3. The development environment loads automatically
Your workspace is ready when you see the file explorer, terminal, and code editor.
### Step 2: Connect AI model providers (Claude, GPT-4, Gemini)
Sign up for LLM provider accounts and obtain API keys for AI-powered coding:
**Essential AI coding models (Free tiers available)**
* [OpenAI](https://platform.openai.com) - GPT-4o, GPT-4 for AI code generation
* [Anthropic](https://console.anthropic.com) - Claude 3.5 Sonnet AI coding assistant
* [Google AI](https://aistudio.google.com) - Gemini 2.0 Flash for intelligent code completion
**Optional AI development providers**
* [DeepSeek](https://platform.deepseek.com) - Cost-effective AI coding models
* [Groq](https://console.groq.com) - Fast LLM inference for real-time coding
* [Perplexity](https://www.perplexity.ai) - Research-focused AI models
Keep your API keys secure and never commit them to version control.
1. Click **Settings** in the AI coding assistant interface
2. Navigate to **AI Providers** section for LLM configuration
3. Add your API keys for Claude, GPT-4, or other AI models
4. Test AI connections and select default coding models
5. Start using AI code generation and intelligent autocomplete immediately!
Use multiple AI providers simultaneously and switch between LLMs for optimal code generation results.
### Step 3: Create your first AI-generated project
Create full-stack applications with AI code generation:
1. Click **New Project** in the AI development workspace
2. Choose your tech stack (React, Vue, Svelte, Node.js, Next.js, etc.)
3. Select an AI-optimized template or start from scratch
4. AI coding assistant generates boilerplate code and project structure
Use natural language prompts or voice commands to describe your app - AI will generate production-ready code!
Explore CodinIT's AI-powered development capabilities:
* **AI code generation**: Describe features in natural language for instant code creation
* **Intelligent autocomplete**: Get context-aware AI code suggestions
* **AI debugging & fixes**: Automatic bug detection and AI-powered solutions
* **AI documentation**: Auto-generate README files and API documentation
* **AI test generation**: Create unit tests and integration tests with AI assistance
Use Ctrl+Space (or Cmd+Space on Mac) to trigger AI code completions anywhere in your development environment.
## Next steps for AI-powered development
Now that you're set up with CodinIT AI IDE, explore these AI coding features:
Learn about 19+ supported LLM providers including Claude, GPT-4, Gemini for AI code generation.
Master the AI-powered IDE with intelligent code completion and refactoring tools.
Deploy AI-generated applications to Vercel, Netlify with one-click deployment.
Use AI-powered Git features for intelligent commit messages and code reviews.
Build AI-powered full-stack apps with Supabase database, auth, and real-time features.
Master prompt engineering techniques for better AI code generation and LLM interactions.
Discover AI pair programming, intelligent refactoring, and automated testing features.
Customize your AI development experience with advanced LLM settings and preferences.
**Need help with AI coding?** Check out our [AI troubleshooting guide](/support/troubleshooting) for common LLM issues, or explore the [AI features overview](/features/overview) to discover all AI-powered development capabilities.