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CodinIT.dev
Prompt, Build & Deploy Full Stack Apps With AI | Made For IndieHackers
Pitch

CodinIT.dev is an open-source AI app builder that runs locally and gives you full control. Build apps with over 500+ AI models (Gemini, HuggingFace, OpenAI, Anthropic OpenRouter, local models, and more), build & export complete projects without any limits. Deploy Vercel, Netlify, Cloudflare with one click. No lock-ins, no limitations, fully transparent. Download on Windows, macOS, and Linux.

Description

CodinIT.dev is an open-source, AI-powered full-stack development platform that facilitates the creation, management, and deployment of modern Node.js applications efficiently. This platform streamlines the development process by integrating code generation, project management, and deployment tools into a coherent workflow, adaptable to various AI service providers.

Core Features:

  • AI-Powered Development: Leverage advanced AI capabilities for rapid application development without compromising precision.
  • Multi-Provider Support: Enjoy seamless integration with over 19 cloud and local AI providers, allowing dynamic switching to suit specific tasks.
  • Web and Desktop Compatibility: Easily build applications for web and desktop environments (supporting Electron).
  • Enhanced Deployment Options: CodinIT.dev is Docker-ready, enabling hassle-free deployment to platforms such as Vercel, Netlify, or GitHub Pages.
  • Built-in Tools: Utilize built-in features such as search, diff viewer, file-locking, data visualization, and voice prompting, enhancing overall productivity.
  • Provider-Agnostic Architecture: Maintain flexibility in your development workflow without vendor lock-in, making it easier to integrate preferred AI services.
  • Cloud Providers: Includes OpenAI, Anthropic, Google, xAI, and many others.
  • Local AI Providers: Utilize local AI endpoints such as Ollama and LM Studio, which can be mixed and matched for tailored development.

Getting Started:

With CodinIT.dev, quick setup is a breeze, allowing developers to either download the local desktop app from github releases or clone the repository, install dependencies, configure their environment with preferred AI provider keys, and launch the development server in just a few steps.

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