Generate code changes to an existing coding project using AI.
After installing the code_helper
binary:
go install github.com/danielmiessler/fabric/plugins/tools/code_helper@latest
The create_coding_feature allows you to apply AI-suggested code changes directly to your project files. Use it like this:
code_helper [project_directory] "[instructions for code changes]" | fabric --pattern create_coding_feature
For example:
code_helper . "Create a simple Hello World C program in file main.c" | fabric --pattern create_coding_feature
code_helper
scans your project directory and creates a JSON representation- The AI model analyzes your project structure and instructions
- AI generates file changes in a standard format
- Fabric parses these changes and prompts you to confirm
- If confirmed, changes are applied to your project files
# Request AI to create a Hello World program
code_helper . "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"
code_helper . "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"
- 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.
- 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
- 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