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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
  • 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:
git clone https://github.com/codinit-dev/codinit-dev.git
cd codinit-dev
Install dependencies using your preferred package manager:
pnpm
pnpm install
cp .env.example .env.local
pnpm run dev
npm
npm install
cp .env.example .env.local
npm run dev
yarn
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.

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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 - GPT-4o, GPT-4 for AI code generation
  • Anthropic - Claude 3.5 Sonnet AI coding assistant
  • Google AI - Gemini 2.0 Flash for intelligent code completion
Optional AI development providers
  • DeepSeek - Cost-effective AI coding models
  • Groq - Fast LLM inference for real-time coding
  • Perplexity - 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.

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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.

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Next steps for AI-powered development

Now that you’re set up with CodinIT AI IDE, explore these AI coding features:

AI model provider guide

Learn about 19+ supported LLM providers including Claude, GPT-4, Gemini for AI code generation.

AI development tools

Master the AI-powered IDE with intelligent code completion and refactoring tools.

AI-assisted deployment

Deploy AI-generated applications to Vercel, Netlify with one-click deployment.

Git with AI assistance

Use AI-powered Git features for intelligent commit messages and code reviews.

Full-stack AI development

Build AI-powered full-stack apps with Supabase database, auth, and real-time features.

AI prompt engineering

Master prompt engineering techniques for better AI code generation and LLM interactions.

AI coding features

Discover AI pair programming, intelligent refactoring, and automated testing features.

AI IDE customization

Customize your AI development experience with advanced LLM settings and preferences.
Need help with AI coding? Check out our AI troubleshooting guide for common LLM issues, or explore the AI features overview to discover all AI-powered development capabilities.