ContextCraft Wiki

Welcome to the ContextCraft Wiki! This wiki serves as the comprehensive documentation for ContextCraft, the powerful tool for optimizing your interactions with AI language models.

What is ContextCraft?

ContextCraft is a specialized tool designed to help developers, researchers, and content creators optimize their interactions with AI language models. By providing powerful context management features, ContextCraft allows you to include more code and content within AI model token limits, resulting in better, more accurate responses.

Core Features

ContextCraft offers a variety of features to enhance your AI interactions:

• File Selection and Organization: Easily select and organize files from your projects
• Code Compression: Reduce token usage while preserving code structure
• Comment Removal: Selectively remove comments to optimize token usage
• Token Counting: Track token usage in real-time
• Custom Instructions: Save and manage reusable instruction templates
• Model Selection: Choose from various supported AI models

Getting Started

New to ContextCraft? Start with these pages:

• Installation Guide
• User Interface Overview
• Quick Start Tutorial

Core Documentation

Learn about ContextCraft's main features:

• File Selection
• Code Compression
• Comment Removal
• Token Counting
• Model Context Length
• Custom Instructions
• Project Navigation
• Output Formats
• Model Selection

Advanced Usage

Take your ContextCraft skills to the next level:

• Advanced Optimization Techniques
• Context Templates
• Keyboard Shortcuts
• Configuration Options
• Integration with IDEs
• Testing Guide

Troubleshooting and Support

Need help? Check out these resources:

• Common Issues
• Performance Optimization
• FAQs
• Release Notes
• Support Channels

Contributing

Want to contribute to ContextCraft or this documentation?

• Contribution Guidelines
• Development Setup
• Documentation Style Guide

Resources

Additional resources for getting the most out of ContextCraft:

• API Reference
• Examples Gallery
• Community Showcase
• Integrations
• Vibecoding with Rubrics
• Code Context in LLM Rubric Generation

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Wiki Maintenance

This wiki is maintained by Jesper and the community contributors. Found something missing or incorrect? Please submit a pull request or open an issue in the main repository.