Files
Claude-Code-Workflow/RELEASE_NOTES_v2.0.md
catlog22 9e5b64bbb7 docs: Add comprehensive v2.0 release documentation
- Add RELEASE_NOTES_v2.0.md with detailed feature overview and migration guide
- Update CHANGELOG.md with comprehensive v2.0 feature list and breaking changes
- Remove erroneous v1.3.0 release documentation and tags
- Document four-layer architecture, enhanced workflow lifecycle, and tech stack detection
- Include migration guide for breaking changes from v1.x to v2.0
- Add comprehensive command reference for new Issue Management and Qwen CLI integration

This documentation completes the v2.0 release preparation with full feature
coverage and upgrade guidance for existing users.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-28 14:44:00 +08:00

10 KiB
Raw Blame History

🚀 Claude Code Workflow (CCW) v2.0.0 Release Notes

Release Date: September 28, 2025 Release Type: Major Version Release Repository: https://github.com/catlog22/Claude-Code-Workflow


📋 Overview

Claude Code Workflow v2.0 represents a major architectural evolution with significant enhancements to the multi-agent automation framework. This release introduces a comprehensive four-layer architecture, enhanced workflow lifecycle management, and intelligent tech stack detection.

🎯 Upgrade Recommendation: This is a breaking change release with significant architectural improvements. Review the breaking changes section before upgrading.


🌟 Major Features & Enhancements

🏗️ Four-Layer Architecture (NEW)

CCW now operates through four distinct architectural layers with defined responsibilities and data contracts:

Layer Components Data Flow Integration Points
🖥️ Interface Layer CLI Commands, Gemini/Codex/Qwen Wrappers User input → Commands → Agents External CLI tools, approval modes
📋 Session Layer .active-[session] markers, workflow-session.json Session state → Task discovery Atomic session switching
📊 Task/Data Layer .task/impl-*.json, hierarchy management Task definitions → Agent execution JSON-first model, generated views
🤖 Orchestration Layer Multi-agent coordination, dependency resolution Agent outputs → Task updates Intelligent execution flow

🔄 Enhanced Workflow Lifecycle

Complete development lifecycle with quality gates at each phase:

  1. 💡 Brainstorm Phase - Multi-perspective conceptual planning with role-based analysis
  2. 📋 Plan Phase - Structured implementation planning with task decomposition
  3. Verify Phase - Pre-execution validation using Gemini (strategic) + Codex (technical)
  4. Execute Phase - Autonomous implementation with multi-agent orchestration
  5. 🧪 Test Phase - Automated test workflow generation with comprehensive coverage
  6. 🔍 Review Phase - Quality assurance and completion validation

🧪 Automated Test Generation

Comprehensive test workflow creation:

  • Implementation Analysis: Scans completed IMPL-* tasks for test requirements
  • Multi-layered Testing: Unit, Integration, E2E, Performance, Security tests
  • Agent Assignment: Specialized test agents for different test types
  • Dependency Mapping: Test execution follows implementation dependency chains

Plan Verification System

Dual-engine validation before execution:

  • Gemini Strategic Analysis: High-level feasibility and architectural soundness
  • Codex Technical Analysis: Implementation details and technical feasibility
  • Cross-Validation: Identifies conflicts between strategic vision and technical constraints
  • Improvement Suggestions: Actionable recommendations before implementation begins

🧠 Smart Tech Stack Detection

Intelligent task-based loading of technology guidelines:

  • Automatic Detection: Only loads tech stacks for development and code review tasks
  • Multi-Language Support: TypeScript, React, Python, Java, Go, JavaScript
  • Performance Optimized: Skips detection for non-relevant tasks
  • Context-Aware: Applies appropriate tech stack principles to development work

🔮 Qwen CLI Integration

Full integration of Qwen CLI for architecture analysis and code generation:

  • Architecture Analysis: System design patterns and code quality assessment
  • Code Generation: Implementation scaffolding and component creation
  • Intelligent Modes: Auto template selection and precise architectural planning

📊 New Commands & Capabilities

Issue Management Commands

  • /workflow:issue:create - Create new project issues with priority and type
  • 📋 /workflow:issue:list - List and filter issues by status and assignment
  • 📝 /workflow:issue:update - Update existing issue status and assignments
  • ✅ /workflow:issue:close - Close completed issues with resolution reasons

Enhanced Workflow Commands

  • ✅ /workflow:plan-verify - Pre-execution validation using dual analysis
  • 🧪 /workflow:test-gen - Generate comprehensive test workflows
  • 🎨 /workflow:brainstorm:artifacts - Generate structured planning documents
  • 🔍 /workflow:plan-deep - Deep technical planning with Gemini analysis

Qwen CLI Commands

  • 🔍 /qwen:analyze - Architecture analysis and code quality assessment
  • 💬 /qwen:chat - Direct Qwen interaction for design discussions
  • ⚡ /qwen:execute - Intelligent implementation with YOLO permissions
  • 🚀 /qwen:mode:auto - Auto template selection and execution
  • 🐛 /qwen:mode:bug-index - Bug analysis and fix suggestions
  • 📋 /qwen:mode:plan - Architecture planning and analysis

🔧 Technical Improvements

Script & Tool Enhancements

  • gemini-wrapper: Improved token management and path handling
  • qwen-wrapper: Streamlined execution and simplified interface
  • Cross-Platform: Enhanced Windows path compatibility with proper quoting
  • Directory Navigation: Intelligent context optimization for focused analysis

Agent Improvements

  • Flow Control: Enhanced sequential execution with context accumulation
  • Context Assessment: Smart tech stack loading for relevant tasks only
  • Error Handling: Improved per-step error strategies
  • Variable Passing: Context transfer between execution steps

Documentation Overhaul

  • Unified Structure: Aligned English and Chinese documentation
  • Command Standardization: Consistent syntax across all commands
  • Architecture Clarity: Clear data flow and integration point descriptions
  • Version Synchronization: Both language versions now reflect v2.0 features

📈 Performance & Compatibility

Performance Metrics

Metric Performance Details
🔄 Session Switching <10ms Atomic marker file operations
📊 JSON Queries <1ms Direct JSON access, no parsing overhead
📝 Doc Updates <30s Medium projects, intelligent targeting
🔍 Context Loading <5s Complex codebases with caching
Task Execution 10min timeout Complex operations with error handling

System Requirements

  • 🖥️ OS: Windows 10+, Ubuntu 18.04+, macOS 10.15+
  • 📦 Dependencies: Git, Node.js (Gemini), Python 3.8+ (Codex)
  • 💾 Storage: ~50MB core + variable project data
  • 🧠 Memory: 512MB minimum, 2GB recommended

Integration Requirements

  • 🔍 Gemini CLI: Required for analysis and strategic planning workflows
  • 🤖 Codex CLI: Required for autonomous development and bug fixing
  • 🔮 Qwen CLI: Required for architecture analysis and code generation
  • 📂 Git Repository: Required for change tracking and version control

⚠️ Breaking Changes

Removed Components

  • Python CLI Backend: All pycli references and related scripts removed
  • Deprecated Scripts: install_pycli.sh, pycli, pycli.conf, tech-stack-loader.sh
  • Legacy Commands: Old path reading scripts and unused Python tools

Command Syntax Changes

  • Session Commands: /workflow:session list/workflow:session:list
  • File Naming: Standardized to lowercase .task/impl-*.json
  • Session Markers: Unified format .active-[session]

Architecture Changes

  • Data Model: Migrated to JSON-first architecture
  • Session Management: Atomic marker-based system
  • Task Structure: Standardized hierarchy and status management

Configuration Updates

Required Gemini CLI configuration:

{
  "contextFileName": "CLAUDE.md"
}

🚀 Migration Guide

From v1.x to v2.0

  1. Update Configuration:

    # Update Gemini CLI settings
    echo '{"contextFileName": "CLAUDE.md"}' > ~/.gemini/settings.json
    
  2. Clean Legacy Files:

    # Remove old Python CLI references
    rm -f .claude/scripts/pycli*
    rm -f .claude/scripts/install_pycli.sh
    
  3. Update Command Usage:

    # Old syntax
    /workflow:session list
    
    # New syntax
    /workflow:session:list
    
  4. Verify Installation:

    /workflow:session:list
    

📚 Documentation & Resources

Updated Documentation

  • README.md: Complete v2.0 feature documentation
  • README_CN.md: Chinese documentation with v2.0 alignment
  • Architecture Guides: Four-layer system documentation
  • Command Reference: Comprehensive CLI command tables

Quick Start

# Install CCW v2.0
Invoke-Expression (Invoke-WebRequest -Uri "https://raw.githubusercontent.com/catlog22/Claude-Code-Workflow/main/install-remote.ps1" -UseBasicParsing).Content

# Verify installation
/workflow:session:list

# Start first workflow
/workflow:session:start "My First Project"

🤝 Contributing & Support

Development

Community


🙏 Acknowledgments

Special thanks to the community for feedback and contributions that made v2.0 possible. This release represents a significant step forward in automated development workflow capabilities.


🚀 Claude Code Workflow v2.0

Professional software development workflow automation through intelligent multi-agent coordination and autonomous execution capabilities.


📝 Commit History Summary

This release includes 15+ commits spanning major architectural improvements:

  • 5d08c53: Smart tech stack detection for agents
  • b956943: Workflow architecture documentation updates
  • 8baca52: README v2.0 alignment and four-layer architecture
  • 0756682: Python CLI cleanup and modernization
  • be4db94: Concept evaluation framework addition
  • 817f51c: Qwen CLI integration and task commands

For complete commit history, see: GitHub Commits