A CLI tool to help non-technical product managers and AI-native builders understand codebases
Project description
Code Guro
A CLI tool to help non-technical product managers and AI-native builders understand codebases.
Etymology
The name "Code Guro" is a play on two words:
- "Guro" - Tagalog (Filipino) word for "teacher"
- "Guru" - Expert or master in a particular field
This reflects the tool's purpose: to serve as both a teacher (guro) and expert guide (guru) for understanding code.
Overview
Many product managers are now using AI coding agents (Claude Code, Cursor, etc.) to build functional prototypes and MVPs, but lack the programming background to truly understand the code that's generated. This creates hesitation when scaling products or bringing in users.
Code Guro analyzes a codebase and generates structured, beginner-friendly learning documentation. Unlike conversational AI tools that answer specific questions, Code Guro proactively creates a complete curriculum tailored to your specific codebase.
Installation
pip install code-guro
Requirements:
- Python 3.8 or higher
- Internet connection (for Claude API calls)
- Claude API key from console.anthropic.com
Quick Start
1. Configure your API key
code-guro configure
You'll be prompted to enter your Claude API key. The key is stored securely in ~/.config/code-guro/config.json with restricted file permissions.
Alternatively, you can set the CLAUDE_API_KEY or ANTHROPIC_API_KEY environment variable:
export CLAUDE_API_KEY="your-api-key-here"
2. Analyze a codebase
# Analyze current directory
code-guro analyze .
# Analyze a specific path
code-guro analyze /path/to/project
# Analyze from GitHub
code-guro analyze https://github.com/user/repo
# Generate HTML output (in addition to markdown)
code-guro analyze . --format html
3. Deep dive into specific files
# Explain a specific folder
code-guro explain ./src/auth
# Interactive mode for follow-up questions
code-guro explain ./src/auth --interactive
# Print explanation to console instead of file
code-guro explain ./src/auth --output console
Output
Code Guro generates structured learning documentation in a code-guro-output/ directory:
code-guro-output/
├── 00-overview.md # Executive summary: what the app does, tech stack
├── 01-getting-oriented.md # File structure, extensions glossary, entry points
├── 02-architecture.md # Patterns, conventions, architectural decisions
├── 03-core-files.md # The 20% of files that matter most
├── 04-deep-dive-[module].md # Deep dives for each major module
├── 05-quality-analysis.md # What's good, what's risky, potential pitfalls
└── 06-next-steps.md # Suggested exploration paths, follow-up commands
Each document includes:
- Beginner-friendly explanations
- Visual diagrams (Mermaid)
- Code snippets with inline comments
- Glossary of technical terms
Commands
code-guro configure
Set up your Claude API key for first-time use.
code-guro configure
code-guro analyze <path>
Analyze a codebase and generate documentation.
code-guro analyze . # Current directory
code-guro analyze /path/to/project # Specific path
code-guro analyze https://github.com/user/repo # GitHub URL
Options:
--format [markdown|html]- Output format (default: markdown)
code-guro explain <path>
Get a detailed explanation of a specific file or folder.
code-guro explain ./src/auth # Analyze a folder
code-guro explain ./src/app.py # Analyze a single file
Options:
-i, --interactive- Launch interactive Q&A mode--output [file|console]- Where to output (default: file)
code-guro --version
Display the current version.
code-guro --help
Show help information.
Supported Frameworks
Code Guro provides enhanced context for these frameworks:
| Framework | Detection Method |
|---|---|
| Next.js | package.json with "next", next.config.js |
| React | package.json with "react", .jsx/.tsx files |
| Vue.js | package.json with "vue", .vue files |
| Django | requirements.txt with "Django", manage.py |
| Flask | requirements.txt with "Flask", app.py patterns |
| Express.js | package.json with "express" |
| Ruby on Rails | Gemfile with "rails", config/routes.rb |
When a framework is detected, the documentation includes:
- Framework-specific architecture patterns
- Common conventions and best practices
- Known gotchas and pitfalls
Cost Estimation
Code Guro estimates API costs before running analysis based on:
- Token count of files to analyze
- Current Claude API pricing (~$3/million input tokens, ~$15/million output tokens)
Cost confirmation:
- For estimates under $1.00: Proceeds automatically
- For estimates over $1.00: Asks for confirmation before continuing
Typical costs:
- Small project (10-50 files): $0.05 - $0.30
- Medium project (50-200 files): $0.30 - $1.00
- Large project (200+ files): $1.00 - $5.00
Interactive Mode
The --interactive flag launches a conversational Q&A session:
code-guro explain ./src/auth --interactive
You can ask questions like:
- "Why was this pattern used?"
- "What does this function do?"
- "How does this connect to the database?"
- "What would happen if I changed X?"
Type exit or quit to end the session. Your conversation is saved to code-guro-output/explain-[path]-session.md.
Troubleshooting
"No API key configured"
Run code-guro configure to set up your API key, or set the CLAUDE_API_KEY environment variable.
"No internet connection detected"
Code Guro requires an internet connection for Claude API calls and GitHub cloning. Check your network connection.
"Estimated cost exceeds $1.00"
For large codebases, you'll be asked to confirm before proceeding. You can:
- Enter
yto continue - Enter
nto cancel - Try analyzing a specific subdirectory instead
"File too large to analyze"
Files larger than 1MB are skipped to avoid excessive API costs. This is typically fine since large files are often generated code, dependencies, or data files.
GitHub clone failures
Ensure the repository URL is correct and the repository is public. Private repositories are not currently supported.
Development
Setup
# Clone the repository
git clone https://github.com/nicoladevera/code-guro.git
cd code-guro
# Create virtual environment
python3 -m venv venv
source venv/bin/activate
# Install in development mode
pip install -e ".[dev]"
Running Tests
pytest
Code Formatting
black src/
ruff check src/
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Acknowledgments
Built with:
- Anthropic Claude API
- Click - CLI framework
- Rich - Terminal formatting
- tiktoken - Token counting
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