README

🤖 AI-optimized error formatter for PHPStan - Reduce output by up to 80% for AI context windows.

Perfect for Claude, ChatGPT, GitHub Copilot, Cursor, and other AI coding assistants.

🚀 Quick Start

Option 1: MCP Server (Recommended for AI Assistants)

Enable your AI assistant to run PHPStan directly:

npm install -g @webkult/phpstan-ai-mcp-server

Then configure your AI tool (Claude, Cursor, etc.) - see MCP Setup Guide

Option 2: PHPStan Extension (Command Line)

Install in your PHP project:

composer require --dev webkult/phpstan-ai-formatter
phpstan analyse --error-format=ai

Why?

Standard PHPStan output is verbose and wastes precious tokens when working with AI assistants:

------ -----------------------------------------------------------------------
 Line   src/UserService.php
------ -----------------------------------------------------------------------
 23     Parameter #1 $user of method App\UserRepository::save() expects
        App\Entity\User, App\Entity\User|null given.
 45     Method App\UserService::getUser() should return App\Entity\User
        but returns App\Entity\User|null.
------ -----------------------------------------------------------------------

This formatter produces compact, token-efficient output:

src/UserService.php:23 | Method param $user: User|null ≠ User
src/UserService.php:45 | getUser() → User|null (expected User)

Result: ~80% fewer tokens, same diagnostic value!

Installation

composer require --dev webkult/phpstan-ai-formatter

The extension is automatically registered via phpstan/extension-installer.

Usage

Compact Text Format

Best for human-readable AI conversations:

phpstan analyse --error-format=ai

Output example:

PHPStan Analysis (config: phpstan.neon)
Found: 2 errors, 0 warnings

Errors
------
src/UserService.php:23 | Method param $user: User|null ≠ User
  → Consider using strict types
src/UserService.php:45 | getUser() → User|null (expected User)

Structured JSON Format

Best for programmatic AI processing:

phpstan analyse --error-format=ai-json

Output example:

{
    "totals": {
        "errors": 2,
        "file_errors": 2,
        "warnings": 0,
        "internal_errors": 0
    },
    "files": {
        "src/UserService.php": [
            {
                "line": 23,
                "message": "Method param $user: User|null ≠ User",
                "tip": "Consider using strict types",
                "ignorable": true
            },
            {
                "line": 45,
                "message": "getUser() → User|null (expected User)",
                "ignorable": false
            }
        ]
    },
    "warnings": []
}

MCP Server Integration

Model Context Protocol (MCP) enables AI assistants to run PHPStan directly without manual commands.

Supported AI Tools

• ✅ Claude Desktop - Official Anthropic desktop app
• ✅ Claude Code - Official CLI tool
• ✅ Cursor - AI-first code editor
• ✅ VSCode with Cline - AI coding assistant extension
• ✅ Windsurf - Codeium's AI IDE
• ✅ Continue.dev - Open-source AI assistant

How It Works

1. Install MCP server: npm install -g @webkult/phpstan-ai-mcp-server
2. Configure your AI tool (one-time setup)
3. Ask your AI: "Analyze my PHP code for errors"
4. AI runs PHPStan automatically and suggests fixes

Complete setup guide: MCP Server Setup

Use Cases

🤖 AI-Assisted Code Review

# Generate compact report
phpstan analyse --error-format=ai > phpstan-report.txt

# Send to your AI assistant
cat phpstan-report.txt | pbcopy

Then paste into Claude/ChatGPT with your prompt:

"Here's my PHPStan analysis. Help me fix these issues systematically."

🔄 CI/CD Integration

Add to your GitHub Actions workflow:

- name: Run PHPStan
  run: |
    vendor/bin/phpstan analyse --error-format=ai-json > phpstan.json
    
- name: Comment on PR with AI analysis
  run: |
    # Send compact JSON to your AI service for automated code review
    curl -X POST $AI_REVIEW_ENDPOINT -d @phpstan.json

📝 Documentation Generation

phpstan analyse --error-format=ai-json | jq '.files | to_entries[]' | \
  ai-tool "Generate documentation for fixing these common errors"

Token Savings Comparison

Tested on a typical Laravel project with 50 errors:

Token counts measured using GPT-4 tokenizer

Message Shortening Examples

The formatter intelligently abbreviates common patterns:

Configuration

The formatter works out of the box with zero configuration. However, you can customize PHPStan's behavior:

# phpstan.neon
includes:
    - vendor/webkult/phpstan-ai-formatter/extension.neon

parameters:
    level: max
    paths:
        - src

Requirements

• PHP 7.4 or higher
• PHPStan 1.0 or higher

Tips for AI Workflows

1. Use JSON format for automation - Easier to parse programmatically
2. Use text format for conversations - More natural for chat interfaces
3. Pipe directly to AI tools - Skip manual copy/paste
4. Combine with git diff - Only analyze changed files
5. Set up pre-commit hooks - Get instant AI feedback

Example: Git Pre-commit Hook

#!/bin/bash
# .git/hooks/pre-commit

# Get changed PHP files
FILES=$(git diff --cached --name-only --diff-filter=ACM | grep '\.php$')

if [ -z "$FILES" ]; then
    exit 0
fi

# Run PHPStan on changed files only
vendor/bin/phpstan analyse --error-format=ai $FILES

# Optionally: Send to AI for auto-review
# vendor/bin/phpstan analyse --error-format=ai-json $FILES | your-ai-tool

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Setup

git clone https://github.com/webkult/phpstan-ai-formatter.git
cd phpstan-ai-formatter
composer install

Running Tests

composer test

License

MIT License - see LICENSE file for details.

Acknowledgments

• Built for the PHPStan static analysis tool
• Optimized for Claude, ChatGPT, and other AI assistants
• Inspired by the need for more efficient AI-assisted development workflows

Related Projects

• PHPStan - The main static analysis tool
• Larastan - PHPStan for Laravel
• Psalm - Alternative static analysis tool

Made with 🤖 for developers working with AI assistants

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