Fabric/data/patterns/create_coding_feature/README.md

Create Coding Feature

Generate code changes to an existing coding project using AI.

Installation

After installing the code2context binary:

go install github.com/danielmiessler/fabric/cmd/code2context@latest

Usage

The create_coding_feature allows you to apply AI-suggested code changes directly to your project files. Use it like this:

code2context [project_directory] "[instructions for code changes]" | fabric --pattern create_coding_feature

For example:

code2context . "Create a simple Hello World C program in file main.c" | fabric --pattern create_coding_feature

How It Works

1. code2context scans your project directory and creates a JSON representation
2. The AI model analyzes your project structure and instructions
3. AI generates file changes in a standard format
4. Fabric parses these changes and prompts you to confirm
5. If confirmed, changes are applied to your project files

Example Workflow

# Request AI to create a Hello World program
code2context . "Create a simple Hello World C program in file main.c" | fabric --pattern create_coding_feature

# Review the changes made to your project
git diff

# Run/test the code
make check

# If satisfied, commit the changes
git add <changed files>
git commit -s -m "Add Hello World program"

Security Enhancement Example

code2context . "Ensure that all user input is validated and sanitized before being used in the program." | fabric --pattern create_coding_feature
git diff
make check
git add <changed files>
git commit -s -m "Security fixes: Input validation"

Important Notes

• Always run from project root: File changes are applied relative to your current directory
• Use with version control: It's highly recommended to use this feature in a clean git repository so you can review and revert changes. You will not be asked to approve each change.

Security Features

• Path validation to prevent directory traversal attempts
• File size limits to prevent excessive file generation
• Operation validation (only create/update operations allowed)
• User confirmation required before applying changes

Suggestions for Future Improvements

• Add a dry-run mode to show changes without applying them
• Enhance reporting with detailed change summaries
• Support for file deletions with safety checks
• Add configuration options for project-specific rules
• Provide rollback capability for applied changes
• Add support for project-specific validation rules
• Enhance script generation with conditional logic
• Include detailed logging for API responses
• Consider adding a GUI for ease of use