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Help your robot

Teach your robot how to program!

Why Documentation Matters for AI Coding

AI coding assistants like Cursor, Lovable, and V0 are powerful tools that can significantly accelerate development. However, they work best when given clear, structured guidance. Without proper documentation, these tools may:

  • Make incorrect assumptions about your project requirements
  • Generate code that doesn't align with your vision
  • "Hallucinate" features or implementations that aren't needed
  • Miss critical business logic or requirements

Our CONTEXTBUILD helps you create comprehensive documentation that serves as a clear roadmap for AI coding tools, ensuring they implement exactly what you need, without wasting time on incorrect implementations.

The Documentation Suite

Project Requirements Document
Defines the overall scope, purpose, and requirements of your project
App Flow Document
Maps out the user journey through your application in clear, sequential steps
Tech Stack Document
Specifies all technologies, libraries, and APIs used in your project
Frontend Guidelines
Establishes design principles, UI components, and styling standards
Backend Structure
Defines data models, API endpoints, and server-side architecture
Implementation Plan
Provides a step-by-step roadmap for building your application

Want to Learn How to Use ContextBuild?

Visit our detailed guide to learn how to create perfect context documents for AI coding assistants, save tokens, and maximize your productivity with step-by-step instructions.