Bolt.diy | The official open source version of Bolt.new
Bolt.diy
Introduction
bolt.diy is an open-source, AI-powered development environment that enables users to prompt, run, edit, and deploy full-stack web applications directly from their browser. It supports integration with various large language models (LLMs) such as OpenAI, Anthropic, HuggingFace, and more, allowing developers to choose their preferred AI models for each prompt. The platform offers a seamless experience by combining a code editor, terminal, and preview functionality within a single interface, eliminating the need for local setup.
Use Cases
Rapid Prototyping
Quickly build and iterate on full-stack web applications using AI-assisted development.
Educational Tool
Serve as a learning platform for students and developers to understand web development concepts with AI guidance.
Cross-Model Experimentation
Test and compare outputs from different LLMs within the same project environment.
Collaborative Development
Facilitate team collaboration by sharing projects and integrating with version control systems like GitHub.
Deployment Testing
Deploy applications to platforms like Netlify or Vercel directly from the browser for testing and demonstration purposes.
Features & Benefits
Multi-LLM Support
Integrate with various LLM providers, including OpenAI, Anthropic, HuggingFace, and others, with the flexibility to add more.
Browser-Based IDE
Access a full-featured integrated development environment (IDE) within the browser, eliminating the need for local installations.
Integrated Terminal
Utilize a built-in terminal to run commands and view outputs in real-time.
Image Prompting
Attach images to prompts to provide better contextual understanding for AI models.
Version Control
Revert code to earlier versions, aiding in debugging and iterative development.
Docker Support
Leverage Docker integration for a hassle-free setup and deployment process.
Project Export
Download projects as ZIP files for easy portability and offline access.
Ease of Use
User-friendly interface suitable for both beginners and experienced developers.
Flexibility
Supports multiple AI models, allowing users to choose the best fit for their specific use case.
Accessibility
No need for local setup; accessible directly through the browser.
Community-Driven
Active community contributions lead to continuous improvements and feature additions.
Cons
Internet Dependency
Requires a stable internet connection for optimal performance.
Learning Curve
New users may need time to familiarize themselves with the platform’s features and capabilities.
Resource Limitations
Browser-based environment may have limitations compared to local development setups in terms of performance and resource management.
