Getting Started
ContextBuild helps you create comprehensive documentation for AI coding assistants, saving you time and AI tokens while ensuring your projects are implemented correctly.
Follow these simple steps to generate perfect context documents for AI-assisted development:
Step-by-Step Guide
Navigate to the "Create Documents" section and fill out the comprehensive questionnaire. This form is designed to capture all essential aspects of your project:
- Project basics and overall description
- User flows and key interactions
- Technical stack and dependencies
- Core features and requirements
- UI/UX specifications
- Data models and backend structure
The more detailed your responses, the better guidance your AI assistant will receive.
For enhanced results, you can provide your OpenAI or Claude API key. This enables ContextBuild to:
- Generate more specialized and detailed documentation
- Create tailored implementation plans specific to your project
- Provide deeper insights into technical considerations
Your API key is used only for the current session and is never stored on our servers.
Once you've completed the form, ContextBuild will generate a comprehensive set of Markdown (.md) documents:
- Project Requirements Document
- App Flow Document
- Tech Stack Document
- Frontend Guidelines
- Backend Structure
- Implementation Plan
Review the generated documents and download them as a ZIP file. Each document is carefully structured to provide maximum context with minimal token usage.
Open your preferred AI-enhanced code editor:
- Cursor - Optimized for AI-assisted development
- Windsurf - The world's first agentic IDE
- GitHub Copilot - AI pair programming assistant
- Any other editor with AI capabilities
Import or open the Markdown files in your editor. These documents will provide the AI with comprehensive context about your project.
With your documentation loaded, you can now begin coding with your AI assistant:
- Reference the documentation when asking the AI to implement specific features
- Follow the implementation plan for a step-by-step approach
- Use the technical specifications to ensure consistency
Token-Saving Tip: Our documents are structured to provide maximum context with minimal token usage, saving you money on API costs while improving AI output quality.
Best Practices
Do:
- Be as specific as possible in your form responses
- Include technical constraints and preferences
- Specify design patterns you want to follow
- Reference the documentation when asking AI to implement features
- Use the implementation plan as a roadmap
Don't:
- Skip sections in the form - each provides valuable context
- Paste entire documentation at once - reference specific sections
- Assume the AI remembers context from previous sessions
- Waste tokens on vague instructions when you have detailed docs
- Ignore the implementation plan sequence