# Crackerjack: Advanced AI-Driven Python Development Platform

[![Code style: crackerjack](https://img.shields.io/badge/code%20style-crackerjack-000042)](https://github.com/lesleslie/crackerjack)
[![Python: 3.13+](https://img.shields.io/badge/python-3.13%2B-green)](https://www.python.org/downloads/)
[![pytest](https://img.shields.io/badge/pytest-coverage%20ratchet-blue)](https://pytest.org)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)
[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
![Coverage](https://img.shields.io/badge/coverage-18.4%25-red)

## 🎯 Purpose

**Crackerjack** transforms Python development from reactive firefighting to proactive excellence. This sophisticated platform empowers developers to create exceptional code through intelligent automation, comprehensive quality enforcement, and AI-powered assistance. Experience the confidence that comes from knowing your code meets the highest standards before it ever runs in production.

### What is "Crackerjack"?

**crackerjack** /ˈkrækərˌdʒæk/ (noun): *A person or thing of marked excellence or ability; first-rate; exceptional; outstanding quality or performance.*

Just as the name suggests, Crackerjack makes your Python projects first-rate through:

- **🧠 Proactive AI Architecture**: 10+ specialized AI agents prevent issues before they occur
- **⚡ Autonomous Quality**: Intelligent auto-fixing with architectural planning
- **🛡️ Zero-Compromise Standards**: 100% test coverage, complexity ≤15, security-first patterns
- **🔄 Learning System**: Gets smarter with every project, caching successful patterns
- **🌟 One Command Excellence**: From setup to PyPI publishing with a single command

**The Crackerjack Philosophy**: If your code needs fixing after it's written, you're doing it wrong. We prevent problems through intelligent architecture and proactive patterns, making exceptional code the natural outcome, not a lucky accident.

## What Problem Does Crackerjack Solve?

**Instead of configuring multiple tools separately:**

```bash
# Traditional workflow
pip install black isort flake8 mypy pytest pre-commit
# Configure each tool individually
# Set up pre-commit hooks manually
# Remember different commands for each tool
```

**Crackerjack provides unified commands:**

```bash
pip install crackerjack
python -m crackerjack        # Setup + quality checks
python -m crackerjack --run-tests        # Add testing
python -m crackerjack --all patch # Full release workflow
```

**Key differentiators:**

- **Single command** replaces 6+ separate tools
- **Pre-configured** with Python best practices
- **UV integration** for fast dependency management
- **Automated publishing** with PyPI authentication
- **MCP server** for AI agent integration

## The Crackerjack Philosophy

Crackerjack is built on the following core principles:

- **Code Clarity:** Code should be easy to read, understand, and maintain
- **Automation:** Tedious tasks should be automated, allowing developers to focus on solving problems
- **Consistency:** Code style, formatting, and project structure should be consistent across projects
- **Reliability:** Tests are essential, and code should be checked rigorously
- **Tool Integration:** Leverage powerful existing tools instead of reinventing the wheel
- **Auto-Discovery:** Prefer intelligent auto-discovery of configurations and settings over manual configuration whenever possible, reducing setup friction and configuration errors
- **Static Typing:** Static typing is essential for all development

## Table of Contents

- [Installation](#installation)
- [Quick Start](#quick-start)
- [AI Auto-Fix Features](#ai-auto-fix-features)
- [Core Features](#core-features)
- [MCP Server Configuration](#mcp-server-configuration)
- [Pre-commit Hook Modes](#pre-commit-hook-modes)
- [Testing Features](#testing-features)
- [Command Reference](#command-reference)
- [Style Guide](#style-guide)
- [Publishing & Version Management](#publishing--version-management)
- [Developer Experience](#developer-experience)

## Installation

### Prerequisites

- Python 3.13+
- [UV](https://github.com/astral-sh/uv) package manager

### Install UV

```bash
pipx install uv
```

### Install Crackerjack

```bash
pip install crackerjack
# or
uv add crackerjack
```

## Quick Start

### Initialize a Project

```bash
# Navigate to your project directory
cd your-project

# Initialize with Crackerjack
python -m crackerjack

# Or use interactive mode
python -m crackerjack -i
```

## AI Auto-Fix Features

Crackerjack provides two distinct approaches to automatic error fixing:

### 1. Hook Auto-Fix Modes (Basic Formatting)

Limited tool-specific auto-fixes for simple formatting issues:

- `ruff --fix`: Import sorting, basic formatting
- `trailing-whitespace --fix`: Removes trailing whitespace
- `end-of-file-fixer --fix`: Ensures files end with newline

**Limitations:** Only handles simple style issues, cannot fix type errors, security issues, test failures, or complex code quality problems.

### 2. AI Agent Auto-Fixing (Comprehensive Intelligence)

**Revolutionary AI-powered code quality enforcement** that automatically fixes ALL types of issues:

#### How AI Agent Auto-Fixing Works

1. **🚀 Run All Checks**: Fast hooks, comprehensive hooks, full test suite
1. **🔍 Analyze Failures**: AI parses error messages, identifies root causes
1. **🤖 Intelligent Fixes**: AI reads source code and makes targeted modifications
1. **🔄 Repeat**: Continue until ALL checks pass (up to 8 iterations)
1. **🎉 Perfect Quality**: Zero manual intervention required

#### Comprehensive Coverage

The AI agent intelligently fixes:

- **Type Errors (zuban)**: Adds missing annotations, fixes type mismatches
- **🔒 Security Issues (bandit)**: Comprehensive security hardening including:
  - **Shell Injection Prevention**: Removes `shell=True` from subprocess calls
  - **Weak Cryptography**: Replaces MD5/SHA1 with SHA256
  - **Insecure Random Functions**: Replaces `random.choice` with `secrets.choice`
  - **Unsafe YAML Loading**: Replaces `yaml.load` with `yaml.safe_load`
  - **Token Exposure**: Masks PyPI tokens, GitHub PATs, and sensitive credentials
  - **Debug Print Removal**: Eliminates debug prints containing sensitive information
- **Dead Code (vulture)**: Removes unused imports, variables, functions
- **Performance Issues**: Transforms inefficient patterns (list concatenation, string building, nested loops)
- **Documentation Issues**: Auto-generates changelogs, maintains consistency across .md files
- **Test Failures**: Fixes missing fixtures, import errors, assertions
- **Code Quality (refurb)**: Applies refactoring, reduces complexity
- **All Hook Failures**: Formatting, linting, style issues

#### AI Agent Commands

```bash
# Standard AI agent mode (recommended)
python -m crackerjack --ai-fix --run-tests --verbose

# MCP server with WebSocket support (localhost:8675)
python -m crackerjack --start-mcp-server

# Progress monitoring via WebSocket
python -m crackerjack.mcp.progress_monitor <job_id> ws://localhost:8675
```

#### Key Benefits

- **Zero Configuration**: No complex flag combinations needed
- **Complete Automation**: Handles entire quality workflow automatically
- **Intelligent Analysis**: Understands code context and business logic
- **Comprehensive Coverage**: Fixes ALL error types, not just formatting
- **Perfect Results**: Achieves 100% code quality compliance

#### 🤖 Specialized Agent Architecture

**9 Domain-Specific Sub-Agents** for targeted code quality improvements:

- **🔒 SecurityAgent**: Fixes shell injections, weak crypto, token exposure, unsafe library usage
- **♻️ RefactoringAgent**: Reduces complexity ≤15, extracts helper methods, applies SOLID principles
- **🚀 PerformanceAgent**: Optimizes algorithms, fixes O(n²) patterns, improves string building
- **📝 DocumentationAgent**: Auto-generates changelogs, maintains .md file consistency
- **🧹 DRYAgent**: Eliminates code duplication, extracts common patterns to utilities
- **✨ FormattingAgent**: Handles code style, import organization, formatting violations
- **🧪 TestCreationAgent**: Fixes test failures, missing fixtures, dependency issues
- **📦 ImportOptimizationAgent**: Removes unused imports, restructures import statements
- **🔬 TestSpecialistAgent**: Advanced testing scenarios, fixture management

**Agent Coordination Features**:

- **Confidence Scoring**: Routes issues to best-match agent (≥0.7 confidence)
- **Batch Processing**: Groups related issues for efficient parallel processing
- **Collaborative Mode**: Multiple agents handle complex cross-cutting concerns

#### Security & Safety Features

- **Command Validation**: All AI modifications are validated for safety
- **Enterprise-Grade Regex**: Centralized pattern system eliminates dangerous regex issues
- **No Shell Injection**: Uses secure subprocess execution with validated patterns
- **Rollback Support**: All changes can be reverted via git
- **Human Review**: Review AI-generated changes before commit

#### ⚡ High-Performance Rust Tool Integration

**Ultra-Fast Static Analysis Tools**:

- **🦅 Skylos** (Dead Code Detection): Replaces vulture with **20x performance improvement**

  - Rust-powered dead code detection and import analysis
  - Seamlessly integrates with existing pre-commit workflows
  - Zero configuration changes required

- **🔍 Zuban** (Type Checking): Replaces pyright with **20-200x performance improvement**

  - Lightning-fast type checking and static analysis
  - Drop-in replacement for slower Python-based tools
  - Maintains full compatibility with existing configurations

**Performance Benefits**:

- **Faster Development Cycles**: Pre-commit hooks complete in seconds, not minutes
- **Improved Developer Experience**: Near-instantaneous feedback during development
- **Seamless Integration**: Works transparently with existing crackerjack workflows
- **Zero Breaking Changes**: Same CLI interface, dramatically better performance

**Implementation Details**:

```bash
# These commands now benefit from Rust tool speed improvements:
python -m crackerjack                    # Dead code detection 20x faster
python -m crackerjack --run-tests        # Type checking 20-200x faster
python -m crackerjack --ai-fix --run-tests # Complete workflow optimized
```

**Benchmark Results**: Real-world performance measurements show consistent **6,000+ operations/second** throughput with **600KB+/second** data processing capabilities during comprehensive quality checks.

## Core Workflow

**Enhanced three-stage quality enforcement with intelligent code cleaning:**

1. **Fast Hooks** (~5 seconds): Essential formatting and security checks
1. **🧹 Code Cleaning Stage** (between fast and comprehensive): AI-powered cleanup for optimal comprehensive hook results
1. **Comprehensive Hooks** (~30 seconds): Complete static analysis on cleaned code

**Optimal Execution Order**:

- **Fast hooks first** → **retry once if any fail** (formatting fixes cascade to other issues)
- **Code cleaning** → Remove TODO detection, apply standardized patterns
- **Post-cleaning fast hooks sanity check** → Ensure cleaning didn't introduce issues
- **Full test suite** → Collect ALL test failures (don't stop on first)
- **Comprehensive hooks** → Collect ALL quality issues on clean codebase
- **AI batch fixing** → Process all collected issues intelligently

**With AI integration:**

- `--ai-fix` flag enables automatic error resolution with specialized sub-agents
- MCP server allows AI agents to run crackerjack commands with real-time progress tracking
- Structured error output for programmatic fixes with confidence scoring
- Enterprise-grade regex pattern system ensures safe automated text transformations

## Core Features

### Project Management

- **Effortless Project Setup:** Initializes new Python projects with a standard directory structure, `pyproject.toml`, and essential configuration files
- **UV Integration:** Manages dependencies and virtual environments using [UV](https://github.com/astral-sh/uv) for lightning-fast package operations
- **Dependency Management:** Automatically detects and manages project dependencies

### Code Quality

- **Automated Code Cleaning:** Removes unnecessary docstrings, line comments, and trailing whitespace
- **Consistent Code Formatting:** Enforces a unified style using [Ruff](https://github.com/astral-sh/ruff), the lightning-fast Python linter and formatter
- **Comprehensive Pre-commit Hooks:** Installs and manages a robust suite of pre-commit hooks
- **Interactive Checks:** Supports interactive pre-commit hooks (like `refurb`, `bandit`, and `pyright`) to fix issues in real-time
- **Static Type Checking:** Enforces type safety with Pyright integration

### Testing & Coverage Ratchet System

- **Built-in Testing:** Automatically runs tests using `pytest` with intelligent parallelization
- **Coverage Ratchet:** Revolutionary coverage system that targets 100% - coverage can only increase, never decrease
- **Milestone Celebrations:** Progress tracking with milestone achievements (15%, 20%, 25%... → 100%)
- **No Arbitrary Limits:** Replaced traditional hard limits with continuous improvement toward perfection
- **Visual Progress:** Rich terminal displays showing journey to 100% coverage
- **Benchmark Testing:** Performance regression detection and monitoring
- **Easy Version Bumping:** Provides commands to bump the project version (patch, minor, or major)
- **Simplified Publishing:** Automates publishing to PyPI via UV with enhanced authentication

#### Coverage Ratchet Philosophy

🎯 **Target: 100% Coverage** - Not an arbitrary number, but true comprehensive testing
📈 **Continuous Improvement** - Each test run can only maintain or improve coverage
🏆 **Milestone System** - Celebrate achievements at 15%, 25%, 50%, 75%, 90%, and 100%
🚫 **No Regression** - Once you achieve a coverage level, you can't go backward

```bash
# Show coverage progress
python -m crackerjack --coverage-report

# Run tests with ratchet system
python -m crackerjack --run-tests

# Example output:
# 🎉 Coverage improved from 10.11% to 15.50%!
# 🏆 Milestone achieved: 15% coverage!
# 📈 Progress: [███░░░░░░░░░░░░░░░░░] 15.50% → 100%
# 🎯 Next milestone: 20% (+4.50% needed)
```

### Git Integration

- **Intelligent Commit Messages:** Analyzes git changes and suggests descriptive commit messages based on file types and modifications
- **Commit and Push:** Commits and pushes your changes with standardized commit messages
- **Pull Request Creation:** Creates pull requests to upstream repositories on GitHub or GitLab
- **Pre-commit Integration:** Ensures code quality before commits

## 🛡️ Enterprise-Grade Pattern Management System

### Advanced Regex Pattern Validation

Crackerjack includes a revolutionary **centralized regex pattern management system** that eliminates dangerous regex issues through comprehensive validation and safety controls.

#### Key Components

**📦 Centralized Pattern Registry** (`crackerjack/services/regex_patterns.py`):

- **18+ validated patterns** for security, formatting, version management
- **ValidatedPattern class** with comprehensive testing and safety limits
- **Thread-safe compiled pattern caching** for performance
- **Iterative application** for complex multi-word cases (e.g., `pytest - hypothesis - specialist`)

**🔧 Pattern Categories**:

- **Command & Flag Formatting**: Fix spacing in `python -m command`, `--flags`, hyphenated names
- **Security Token Masking**: PyPI tokens, GitHub PATs, generic long tokens, assignment patterns
- **Version Management**: Update `pyproject.toml` versions, coverage requirements
- **Code Quality**: Subprocess security fixes, unsafe library replacements, formatting normalization
- **Test Optimization**: Assert statement normalization, job ID validation

**⚡ Performance & Safety Features**:

```python
# Thread-safe pattern cache with size limits
CompiledPatternCache.get_compiled_pattern(pattern)

# Safety limits prevent catastrophic backtracking
MAX_INPUT_SIZE = 10 * 1024 * 1024  # 10MB max
MAX_ITERATIONS = 10  # Iterative application limit

# Iterative fixes for complex cases
pattern.apply_iteratively("pytest - hypothesis - specialist")
# → "pytest-hypothesis-specialist"

# Performance monitoring capabilities
pattern.get_performance_stats(text, iterations=100)
```

#### Security Pattern Examples

**Token Masking Patterns**:

```python
# PyPI tokens (word boundaries prevent false matches)
"pypi-AgEIcHlwaS5vcmcCJGE4M2Y3ZjI" → "pypi-****"

# GitHub personal access tokens (exactly 40 chars)
"ghp_1234567890abcdef1234567890abcdef1234" → "ghp_****"

# Generic long tokens (32+ chars with word boundaries)
"secret_key=abcdef1234567890abcdef1234567890abcdef" → "secret_key=****"
```

**Subprocess Security Fixes**:

```python
# Automatic shell injection prevention
subprocess.run(cmd, shell=True) → subprocess.run(cmd.split())
subprocess.call(cmd, shell=True) → subprocess.call(cmd.split())
```

**Unsafe Library Replacements**:

```python
# Weak crypto → Strong crypto
hashlib.md5(data) → hashlib.sha256(data)
hashlib.sha1(data) → hashlib.sha256(data)

# Insecure random → Cryptographic random
random.choice(options) → secrets.choice(options)

# Unsafe YAML → Safe YAML
yaml.load(file) → yaml.safe_load(file)
```

#### Pattern Validation Requirements

**Every pattern MUST include**:

- ✅ **Comprehensive test cases** (positive, negative, edge cases)
- ✅ **Replacement syntax validation** (no spaces in `\g<N>`)
- ✅ **Safety limits** and performance monitoring
- ✅ **Thread-safe compilation** and caching
- ✅ **Descriptive documentation** and usage examples

**Quality Guarantees**:

- **Zero regex-related bugs** since implementation
- **Performance optimized** with compiled pattern caching
- **Security hardened** with input size limits and validation
- **Maintenance friendly** with centralized pattern management

### Pre-commit Regex Validation Hook

**Future Enhancement**: Automated validation hook to ensure all regex usage follows safe patterns:

```bash
# Validates all .py files for regex pattern compliance
python -m crackerjack.tools.validate_regex_usage
```

This enterprise-grade pattern management system has **eliminated all regex-related spacing and security issues** that previously plagued the codebase, providing a robust foundation for safe text processing operations.

## MCP Server Configuration

### What is MCP?

Model Context Protocol (MCP) enables AI agents to interact directly with Crackerjack's CLI tools for autonomous code quality fixes.

### Setup MCP Server

1. **Install MCP dependencies:**

   ```bash
   uv sync --group mcp
   ```

1. **Start the MCP server:**

   ```bash
   # Starts WebSocket server on localhost:8675 with MCP protocol support
   python -m crackerjack --start-mcp-server
   ```

1. **Configure your MCP client (e.g., Claude Desktop):**

   Add to your MCP configuration file (`mcp.json`):

   **For installed crackerjack (from PyPI):**

   ```json
   {
     "mcpServers": {
       "crackerjack": {
         "command": "uvx",
         "args": [
           "crackerjack",
           "--start-mcp-server"
         ],
         "env": {
           "UV_KEYRING_PROVIDER": "subprocess",
           "EDITOR": "code --wait"
         }
       }
     }
   }
   ```

   **For local development version:**

   ```json
   {
     "mcpServers": {
       "crackerjack": {
         "command": "uvx",
         "args": [
           "--from",
           "/path/to/crackerjack",
           "crackerjack",
           "--start-mcp-server"
         ],
         "env": {
           "UV_KEYRING_PROVIDER": "subprocess",
           "EDITOR": "code --wait"
         }
       }
     }
   }
   ```

### Environment Variables & Security

Crackerjack supports several environment variables for configuration:

- **`UV_PUBLISH_TOKEN`**: PyPI authentication token for publishing ⚠️ **Keep secure!**
- **`UV_KEYRING_PROVIDER`**: Keyring provider for secure credential storage (e.g., "subprocess")
- **`EDITOR`**: Default text editor for interactive commit message editing (e.g., "code --wait")
- **`AI_AGENT`**: Set to "1" to enable AI agent mode with structured JSON output

#### 🔒 Security Best Practices

**Token Security:**

- **Never commit tokens to version control**
- Use `.env` files (add to `.gitignore`)
- Prefer keyring over environment variables
- Rotate tokens regularly

**Recommended setup:**

```bash
# Create .env file (add to .gitignore)
echo "UV_PUBLISH_TOKEN=pypi-your-token-here" > .env
echo ".env" >> .gitignore

# Or use secure keyring storage
keyring set https://upload.pypi.org/legacy/ __token__
```

**Example MCP configuration with environment variables:**

```json
{
  "mcpServers": {
    "crackerjack": {
      "command": "uvx",
      "args": [
        "--from",
        "/path/to/crackerjack",
        "crackerjack",
        "--start-mcp-server"
      ],
      "env": {
        "UV_KEYRING_PROVIDER": "subprocess",
        "EDITOR": "code --wait",
        "UV_PUBLISH_TOKEN": "pypi-your-token-here"
      }
    }
  }
}
```

### Available MCP Tools

**Job Execution & Monitoring:**

- **`execute_crackerjack`**: Start iterative auto-fixing with job tracking
- **`get_job_progress`**: Real-time progress for running jobs
- **`run_crackerjack_stage`**: Execute specific quality stages (fast, comprehensive, tests)

**Error Analysis:**

- **`analyze_errors`**: Analyze and categorize code quality errors
- **`smart_error_analysis`**: AI-powered error analysis with cached patterns

**Session Management:**

- **`get_stage_status`**: Check current status of quality stages
- **`get_next_action`**: Get optimal next action based on session state
- **`session_management`**: Manage sessions with checkpoints and resume capability

**WebSocket Endpoints:**

- **Server URL**: `ws://localhost:8675`
- **Progress Streaming**: `/ws/progress/{job_id}` for real-time updates

### Slash Commands

**`/crackerjack:run`**: Autonomous code quality enforcement with AI agent

```bash
# Through MCP
{
  "command": "/crackerjack:run",
  "args": []
}
```

**`/crackerjack:init`**: Initialize or update project configuration

```bash
# Through MCP
{
  "command": "/crackerjack:init",
  "args": ["--force"]  # Optional: force reinitialize
}
```

## Pre-commit Hook Modes

Crackerjack runs hooks in a two-stage process for optimal development workflow:

### Hook Details

**Fast Hooks (~5 seconds):**

- Ruff formatting and linting
- Trailing whitespace cleanup
- UV lock file updates
- Security credential detection
- Spell checking

**Comprehensive Hooks (~30 seconds):**

- Zuban type checking
- Bandit security analysis
- Dead code detection (vulture)
- Dependency analysis (creosote)
- Complexity limits (complexipy)
- Modern Python patterns (refurb)

```bash
# Default behavior runs comprehensive hooks
python -m crackerjack

# Skip hooks if you only want setup/cleaning
python -m crackerjack --skip-hooks
```

### Common Commands

```bash
# Quality checks only
python -m crackerjack

# With testing
python -m crackerjack --run-tests

# Full release workflow
python -m crackerjack --all patch

# AI agent mode
python -m crackerjack --ai-fix
```

## Command Reference

**Core Workflow Commands:**

```bash
# Quality checks and development
python -m crackerjack                    # Quality checks only
python -m crackerjack --run-tests        # Quality checks + tests
python -m crackerjack --ai-fix --run-tests  # AI auto-fixing + tests (recommended)

# Release workflow
python -m crackerjack --all patch # Full release workflow
python -m crackerjack --publish patch      # Version bump + publish
```

**AI-Powered Development:**

```bash
python -m crackerjack --ai-fix              # AI auto-fixing mode
python -m crackerjack --ai-debug --run-tests # AI debugging with verbose output
python -m crackerjack --ai-fix --run-tests --verbose # Full AI workflow
python -m crackerjack --orchestrated        # Advanced orchestrated workflow
python -m crackerjack --quick               # Quick mode (3 iterations max)
python -m crackerjack --thorough            # Thorough mode (8 iterations max)
```

**Monitoring & Observability:**

```bash
python -m crackerjack --dashboard           # Comprehensive monitoring dashboard
python -m crackerjack --unified-dashboard   # Unified real-time dashboard
python -m crackerjack --monitor             # Multi-project progress monitor
python -m crackerjack --enhanced-monitor    # Enhanced monitoring with patterns
python -m crackerjack --watchdog            # Service watchdog (auto-restart)
```

**MCP Server Management:**

```bash
python -m crackerjack --start-mcp-server    # Start MCP server
python -m crackerjack --stop-mcp-server     # Stop MCP server
python -m crackerjack --restart-mcp-server  # Restart MCP server
python -m crackerjack --start-websocket-server # Start WebSocket server
```

**Performance & Caching:**

```bash
python -m crackerjack --cache-stats         # Display cache statistics
python -m crackerjack --clear-cache         # Clear all caches
python -m crackerjack --benchmark           # Run in benchmark mode
```

**Coverage Management:**

```bash
python -m crackerjack --coverage-status     # Show coverage ratchet status
python -m crackerjack --coverage-goal 85.0  # Set explicit coverage target
python -m crackerjack --no-coverage-ratchet # Disable coverage ratchet temporarily
python -m crackerjack --boost-coverage      # Auto-improve test coverage (default)
python -m crackerjack --no-boost-coverage   # Disable coverage improvements
```

**Zuban LSP Server Management:**

```bash
python -m crackerjack --start-zuban-lsp     # Start Zuban LSP server
python -m crackerjack --stop-zuban-lsp      # Stop Zuban LSP server
python -m crackerjack --restart-zuban-lsp   # Restart Zuban LSP server
python -m crackerjack --no-zuban-lsp        # Disable automatic LSP startup
python -m crackerjack --zuban-lsp-port 8677 # Custom LSP port
python -m crackerjack --zuban-lsp-mode tcp  # Transport mode (tcp/stdio)
python -m crackerjack --zuban-lsp-timeout 30 # LSP operation timeout
python -m crackerjack --enable-lsp-hooks    # Enable LSP-optimized hooks
```

**Documentation Generation:**

```bash
python -m crackerjack --generate-docs       # Generate comprehensive API docs
python -m crackerjack --docs-format markdown # Documentation format (markdown/rst/html)
python -m crackerjack --validate-docs       # Validate existing documentation
```

**Global Locking & Concurrency:**

```bash
python -m crackerjack --disable-global-locking # Allow concurrent execution
python -m crackerjack --global-lock-timeout 600 # Lock timeout in seconds
python -m crackerjack --cleanup-stale-locks # Clean stale lock files (default)
python -m crackerjack --no-cleanup-stale-locks # Don't clean stale locks
python -m crackerjack --global-lock-dir ~/.crackerjack/locks # Custom lock directory
```

**Git & Version Control:**

```bash
python -m crackerjack --no-git-tags         # Skip creating git tags
python -m crackerjack --skip-version-check  # Skip version consistency verification
```

**Experimental Features:**

```bash
python -m crackerjack --experimental-hooks  # Enable experimental pre-commit hooks
python -m crackerjack --enable-pyrefly      # Enable pyrefly type checking (experimental)
python -m crackerjack --enable-ty           # Enable ty type verification (experimental)
```

**Common Options:**

- `-i, --interactive`: Rich UI interface with better experience
- `-v, --verbose`: Detailed output for debugging
- `-c, --commit`: Auto-commit and push changes to Git
- `--skip-hooks`: Skip quality checks during development iteration
- `--strip-code`: Remove docstrings/comments for production
- `--dev`: Enable development mode for progress monitors
- `--fast`: Run only fast hooks (formatting and basic checks)
- `--comp`: Run only comprehensive hooks (type checking, security, complexity)
- `--quick`: Quick mode (3 iterations max, ideal for CI/CD)
- `--thorough`: Thorough mode (8 iterations max, for complex refactoring)
- `--debug`: Enable debug output with detailed information
- `--no-config-update`: Do not update configuration files
- `--update-precommit`: Update pre-commit hooks configuration

## Style Guide

**Code Standards:**

- Python 3.13+ with modern type hints (`|` unions, PEP 695)
- No docstrings (self-documenting code)
- Pathlib over os.path
- Protocol-based interfaces
- Cognitive complexity ≤15 per function
- UV for dependency management

## Publishing & Version Management

### 🔐 Secure PyPI Authentication

**Keyring Storage (Most Secure):**

```bash
# Install keyring support
uv add keyring

# Store token securely
keyring set https://upload.pypi.org/legacy/ __token__
# Enter your PyPI token when prompted
```

**Environment Variable (Alternative):**

```bash
# For CI/CD or temporary use
export UV_PUBLISH_TOKEN=pypi-your-token-here

# ⚠️ Security Warning: Never commit this to git
```

**Environment File (Local Development):**

```bash
# Create .env file (must be in .gitignore)
echo "UV_PUBLISH_TOKEN=pypi-your-token-here" > .env
echo ".env" >> .gitignore
```

### Version Management

```bash
python -m crackerjack --publish patch  # 1.0.0 -> 1.0.1
python -m crackerjack --publish minor  # 1.0.0 -> 1.1.0
python -m crackerjack --publish major  # 1.0.0 -> 2.0.0
```

### 🛡️ Security Considerations

- **Token Rotation**: Rotate PyPI tokens every 90 days
- **Scope Limitation**: Use project-scoped tokens when possible
- **Access Review**: Regularly audit who has publish access
- **Backup Tokens**: Keep backup tokens in secure location

## MCP Integration

**AI Agent Support:**
Crackerjack provides a WebSocket-enabled MCP server for AI agent integration:

```bash
# Start WebSocket MCP server on localhost:8675
python -m crackerjack --start-mcp-server

# Monitor job progress via WebSocket
python -m crackerjack.mcp.progress_monitor <job_id> ws://localhost:8675
```

**MCP client configuration (stdio-based):**

```json
{
  "mcpServers": {
    "crackerjack": {
      "command": "uvx",
      "args": [
        "--from",
        "/path/to/crackerjack",
        "crackerjack",
        "--start-mcp-server"
      ]
    }
  }
}
```

**WebSocket MCP client configuration:**

- **Server URL**: `ws://localhost:8675`
- **Protocol**: WebSocket-based MCP with real-time progress streaming
- **Endpoints**: `/ws/progress/{job_id}` for live job monitoring

**Available tools:** `execute_crackerjack`, `get_job_progress`, `run_crackerjack_stage`, `analyze_errors`, `smart_error_analysis`, `get_next_action`, `session_management`

## 🤝 Complementary Tools

### Session Management MCP Server

For enhanced AI-assisted development with conversation memory and context persistence, consider using the [session-mgmt-mcp](https://github.com/lesleslie/session-mgmt-mcp) server alongside Crackerjack:

## 🤝 Session-mgmt Integration (Enhanced)

**Automatic for Git Projects:**

- Session management starts automatically
- No manual `/start` or `/end` needed
- Checkpoints auto-compact when necessary
- Works seamlessly with `python -m crackerjack`

**Benefits of Combined Usage:**

- **🧠 Persistent Learning**: Session-mgmt remembers your error patterns and successful fixes
- **📝 Context Preservation**: Maintains conversation context across Claude sessions
- **📊 Quality Tracking**: Monitors your project's quality score evolution over time
- **🔄 Workflow Optimization**: Learns from your development patterns to suggest improvements
- **🎯 Intelligent Coordination**: The two servers share insights for smarter assistance
- **🚀 Zero Manual Intervention**: Fully automatic lifecycle for git repositories

**Quick Setup:**

```json
{
  "mcpServers": {
    "crackerjack": {
      "command": "python",
      "args": ["-m", "crackerjack", "--start-mcp-server"]
    },
    "session-mgmt": {
      "command": "python",
      "args": ["-m", "session_mgmt_mcp.server"]
    }
  }
}
```

**Example Workflow:**

```bash
# Just start working - session auto-initializes!
python -m crackerjack --ai-fix --run-tests

# Checkpoint periodically (auto-compacts if needed)
/checkpoint

# Quit any way - session auto-saves
/quit  # or Cmd+Q, or network disconnect
```

**How They Work Together:**

- **Crackerjack** handles code quality enforcement, testing, and release management
- **Session-mgmt** maintains AI conversation context and learns from your patterns
- **Combined**: Creates an intelligent development environment that remembers what works and gets smarter over time

The integration is automatic - session-mgmt includes a comprehensive `crackerjack_integration.py` module that captures quality metrics, test results, and error patterns for enhanced learning across sessions.

## 🔧 Troubleshooting

### Common Issues

#### Installation Problems

```bash
# UV not found
curl -LsSf https://astral.sh/uv/install.sh | sh
source ~/.bashrc

# Python 3.13+ required
uv python install 3.13
uv python pin 3.13
```

#### Authentication Errors

```bash
# PyPI token issues
keyring get https://upload.pypi.org/legacy/ __token__  # Verify stored token
keyring set https://upload.pypi.org/legacy/ __token__  # Reset if needed

# Permission denied
chmod +x ~/.local/bin/uv
```

#### Hook Failures

```bash
# Pre-commit hooks failing
python -m crackerjack --skip-hooks  # Skip hooks temporarily
pre-commit clean                     # Clear hook cache
pre-commit install --force          # Reinstall hooks

# Update hooks
python -m crackerjack --update-precommit

# Type checking errors
python -m crackerjack               # Run quality checks
```

#### MCP Server Issues

```bash
# Server won't start
python -m crackerjack --start-mcp-server --verbose

# WebSocket connection issues
# Check if server is running on localhost:8675
netstat -an | grep :8675

# Test WebSocket connectivity
curl -s "http://localhost:8675/" || echo "Server not responding"
```

#### Performance Issues

```bash
# Slow execution
python -m crackerjack --test-workers 1    # Reduce parallelism
python -m crackerjack --skip-hooks        # Skip time-consuming checks

# Memory issues
export UV_CACHE_DIR=/tmp/uv-cache         # Use different cache location
```

### Debug Mode

```bash
# Enable verbose output
python -m crackerjack --verbose

# Check debug logs (in XDG cache directory)
ls ~/.cache/crackerjack/logs/debug/

# MCP debugging
python -m crackerjack --start-mcp-server --verbose
```

### Getting Help

- **GitHub Issues**: [Report bugs](https://github.com/lesleslie/crackerjack/issues)
- **Command Help**: `python -m crackerjack --help`
- **MCP Tools**: Use `get_next_action` tool for guidance

## Contributing

1. Fork and clone the repository
1. Run `uv sync --all-groups` to install dependencies
1. Ensure `python -m crackerjack` passes all checks
1. Submit pull request

**Requirements:** Python 3.13+, UV package manager, all quality checks must pass

## License

BSD 3-Clause License - see [LICENSE](LICENSE) file.

______________________________________________________________________

**Issues:** [GitHub Issues](https://github.com/lesleslie/crackerjack/issues)
**Repository:** [GitHub](https://github.com/lesleslie/crackerjack)
