Debug Schema
Main schema for conditional debugging with breakpoints and step recording
Forward Trace™: Captures execution from start until problems occur, eliminating need for var_dump() and code modifications.
schemas/xstep.jsonJSON Schema definitions and comprehensive documentation for Xdebug MCP Server - Forward Trace™ debugging and runtime analysis designed for AI-powered debugging.
Main schema for conditional debugging with breakpoints and step recording
Forward Trace™: Captures execution from start until problems occur, eliminating need for var_dump() and code modifications.
schemas/xstep.jsonSchema for Xdebug execution traces (.xt format) with comprehensive statistics
AI-optimized: Includes total_lines, unique_functions, max_call_depth, and database_queries for intelligent analysis strategies.
schemas/xtrace.jsonSchema for performance profiling data (Cachegrind format) with optimization insights
Performance analysis: Bottleneck detection, execution timing, memory usage, and AI-generated optimization suggestions.
schemas/xprofile.jsonForward Trace™ methodology for AI assistants: conditional breakpoints, step recording, and runtime analysis without code modifications
AI-Optimized: Automatic tool usage, schema-validated output, and non-invasive debugging principles for AI assistants. Cross-references with human developer guide.
debug_guideline_for_ai.mdPractical Forward Trace workflows for human developers: daily debugging patterns, team collaboration, and IDE integration
Developer-Focused: IDE integration, troubleshooting, team workflows, and migration from traditional debugging methods. Cross-references with AI assistant guide.
debug_guideline_for_humansInteractive presentation showcasing the paradigm shift from var_dump() debugging to AI-powered Forward Trace methodology
Interactive Demo: Visual explanation of Forward Trace concepts, conditional breakpoints, and AI collaboration benefits.
slide/Comprehensive solutions for common issues: environment setup, Forward Trace problems, MCP protocol issues, and performance optimization
Complete Reference: Quick diagnostics, error codes, reset procedures, and issue reporting templates.
TROUBLESHOOTINGComprehensive instructions for Claude Code CLI integration, MCP protocol usage, and AI debugging workflows
AI Integration: Forward Trace principles, task management, code style guidelines, and non-invasive debugging methodology.
CLAUDE.mdExtended documentation with complete CLAUDE.md integration instructions and comprehensive MCP tool reference
Full Context: Complete project documentation including installation, usage examples, and AI assistant setup instructions.
llms-full.txtMain project documentation with installation, usage, and MCP server setup instructions
Getting Started: Installation guide, MCP configuration, CLI tools usage, and integration examples.
README.mdInteractive debugging with conditional breakpoints and step recording
Complete execution tracing with comprehensive statistics
Performance profiling with bottleneck detection
Code coverage analysis with multiple report formats
Stack trace at specific breakpoints for debugging flow
MCP server for AI integration and programmatic access