grokkit/docs/user-guide/scaffold.md
Greg Gauthier cd47686679
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docs: refactor README and docs structure for better organization
- Simplified README.md by moving detailed command docs, workflows, and development info to dedicated user-guide/ and developer-guide/ directories.
- Created index.md files for both guides to improve navigation.
- Extracted individual command guides (e.g., chat.md, edit.md) into user-guide/ for focused, maintainable documentation.
- Moved architecture, configuration, and troubleshooting to developer-guide/.
- Updated README links to point to the new docs structure.
2026-03-07 22:42:43 +00:00

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🏗️ Scaffold Guide

The scaffold command allows you to quickly generate new files using AI that matches your project's existing coding style, naming conventions, and patterns.

Features

  • Project context harvesting: Analyzes siblings and directory structure for style matching.
  • Optional test generation: Use --with-tests to generate a basic test file.
  • Safety checks: Won't overwrite existing files without --force.
  • Language detection and overrides (--lang).

Usage

Scaffold a new file with Grok using project context for style matching.

# Basic usage
grokkit scaffold internal/git/utils.go "git wrapper for listing tags"

# Scaffold with a basic test file
grokkit scaffold app.py "Flask route for health checks" --with-tests

# Preview without writing
grokkit scaffold main.go "simple CLI entrypoint" --dry-run

Options

Flag Description
--with-tests Also generate a basic test file (e.g., utils_test.go)
--dry-run Preview the generated code without writing any files
--yes, -y Skip the confirmation prompt and write files immediately
--force Overwrite the destination file if it already exists
--lang Manually specify the language (e.g., "Go", "Python", "TypeScript")
--model, -m Override the default model (e.g., grok-4)

How it Works

  1. Context Harvesting: Grokkit reads existing files in the same directory to understand your project's "vibe."
  2. Language Detection: It automatically detects the language based on the file extension.
  3. AI Generation: It sends the description and project context to Grok.
  4. Style Matching: Grok is instructed to match the project's exact style.
  5. Confirmation: You review the code and confirm before it's saved.

Tips for Better Results

  • Be descriptive: Instead of "a logger", try "a structured logger using slog that writes to a rotating file".
  • Use extensions: Ensure your file path has the correct extension so Grokkit can detect the language.
  • Project layout: Run scaffold in a directory that already contains some code for best style matching.