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doc: branding update

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Changed Bolt to bolt and moved the section above the TOC to under it
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Dustin Loring 2024-12-15 12:33:53 -05:00
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docs/docs/CONTRIBUTING.md
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# Contribution Guidelines
## DEFAULT_NUM_CTX
The `DEFAULT_NUM_CTX` environment variable can be used to limit the maximum number of context values used by the qwen2.5-coder model. For example, to limit the context to 24576 values (which uses 32GB of VRAM), set `DEFAULT_NUM_CTX=24576` in your `.env.local` file.
First off, thank you for considering contributing to Bolt.diy! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make Bolt.diy a better tool for developers worldwide.
# bolt.diy Contribution Guidelines
## 📋 Table of Contents
- [Code of Conduct](#code-of-conduct)
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- Environment-specific configurations
- Other required environment variables
## DEFAULT_NUM_CTX
The `DEFAULT_NUM_CTX` environment variable can be used to limit the maximum number of context values used by the qwen2.5-coder model. For example, to limit the context to 24576 values (which uses 32GB of VRAM), set `DEFAULT_NUM_CTX=24576` in your `.env.local` file.
First off, thank you for considering contributing to bolt.diy! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make bolt.diy a better tool for developers worldwide.
## Notes
- Port 5173 is exposed and mapped for both development and production environments

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docs/docs/FAQ.md
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# Frequently Asked Questions (FAQ)
# bolt.diy Frequently Asked Questions (FAQ)
## How do I get the best results with Bolt.diy?
## How do I get the best results with bolt.diy?
- **Be specific about your stack**:
Mention the frameworks or libraries you want to use (e.g., Astro, Tailwind, ShadCN) in your initial prompt. This ensures that Bolt.diy scaffolds the project according to your preferences.
Mention the frameworks or libraries you want to use (e.g., Astro, Tailwind, ShadCN) in your initial prompt. This ensures that bolt.diy scaffolds the project according to your preferences.
- **Use the enhance prompt icon**:
Before sending your prompt, click the *enhance* icon to let the AI refine your prompt. You can edit the suggested improvements before submitting.
- **Scaffold the basics first, then add features**:
Ensure the foundational structure of your application is in place before introducing advanced functionality. This helps Bolt.diy establish a solid base to build on.
Ensure the foundational structure of your application is in place before introducing advanced functionality. This helps bolt.diy establish a solid base to build on.
- **Batch simple instructions**:
Combine simple tasks into a single prompt to save time and reduce API credit consumption. For example:
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---
## How do I contribute to Bolt.diy?
## How do I contribute to bolt.diy?
Check out our [Contribution Guide](CONTRIBUTING.md) for more details on how to get involved!
---
## What are the future plans for Bolt.diy?
## What are the future plans for bolt.diy?
Visit our [Roadmap](https://roadmap.sh/r/ottodev-roadmap-2ovzo) for the latest updates.
New features and improvements are on the way!
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## Why are there so many open issues/pull requests?
Bolt.diy began as a small showcase project on @ColeMedin's YouTube channel to explore editing open-source projects with local LLMs. However, it quickly grew into a massive community effort!
bolt.diy began as a small showcase project on @ColeMedin's YouTube channel to explore editing open-source projects with local LLMs. However, it quickly grew into a massive community effort!
We’re forming a team of maintainers to manage demand and streamline issue resolution. The maintainers are rockstars, and we’re also exploring partnerships to help the project thrive.
---
## How do local LLMs compare to larger models like Claude 3.5 Sonnet for Bolt.diy?
## How do local LLMs compare to larger models like Claude 3.5 Sonnet for bolt.diy?
While local LLMs are improving rapidly, larger models like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b still offer the best results for complex applications. Our ongoing focus is to improve prompts, agents, and the platform to better support smaller local LLMs.

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# Welcome to Bolt DIY
Bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.
# Welcome to bolt diy
bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.
Join the community!
https://thinktank.ottomator.ai
## Whats Bolt.diy
## Whats bolt.diy
Bolt.diy is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build your own AI-powered web dev agent using the Bolt open source codebase, [click here to get started!](./CONTRIBUTING.md)
bolt.diy is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build your own AI-powered web dev agent using the Bolt open source codebase, [click here to get started!](./CONTRIBUTING.md)
## What Makes Bolt.diy Different
## What Makes bolt.diy Different
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.diy stands out:
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where bolt.diy stands out:
- **Full-Stack in the Browser**: Bolt.diy integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
- **Full-Stack in the Browser**: bolt.diy integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
- Install and run npm tools and libraries (like Vite, Next.js, and more)
- Run Node.js servers
- Interact with third-party APIs
- Deploy to production from chat
- Share your work via a URL
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, Bolt.diy gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, bolt.diy gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
Whether you’re an experienced developer, a PM, or a designer, Bolt.diy allows you to easily build production-grade full-stack applications.
Whether you’re an experienced developer, a PM, or a designer, bolt.diy allows you to easily build production-grade full-stack applications.
For developers interested in building their own AI-powered development tools with WebContainers, check out the open-source Bolt codebase in this repo!
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## Adding New LLMs:
To make new LLMs available to use in this version of Bolt.diy, head on over to `app/utils/constants.ts` and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider.
To make new LLMs available to use in this version of bolt.diy, head on over to `app/utils/constants.ts` and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider.
By default, Anthropic, OpenAI, Groq, and Ollama are implemented as providers, but the YouTube video for this repo covers how to extend this to work with more providers if you wish!
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## Tips and Tricks
Here are some tips to get the most out of Bolt.diy:
Here are some tips to get the most out of bolt.diy:
- **Be specific about your stack**: If you want to use specific frameworks or libraries (like Astro, Tailwind, ShadCN, or any other popular JavaScript framework), mention them in your initial prompt to ensure Bolt scaffolds the project accordingly.