- 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>
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🚀 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:
- 💡 Brainstorm Phase - Multi-perspective conceptual planning with role-based analysis
- 📋 Plan Phase - Structured implementation planning with task decomposition
- ✅ Verify Phase - Pre-execution validation using Gemini (strategic) + Codex (technical)
- ⚡ Execute Phase - Autonomous implementation with multi-agent orchestration
- 🧪 Test Phase - Automated test workflow generation with comprehensive coverage
- 🔍 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
pyclireferences 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
-
Update Configuration:
# Update Gemini CLI settings echo '{"contextFileName": "CLAUDE.md"}' > ~/.gemini/settings.json -
Clean Legacy Files:
# Remove old Python CLI references rm -f .claude/scripts/pycli* rm -f .claude/scripts/install_pycli.sh -
Update Command Usage:
# Old syntax /workflow:session list # New syntax /workflow:session:list -
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
- GitHub: https://github.com/catlog22/Claude-Code-Workflow
- Issues: https://github.com/catlog22/Claude-Code-Workflow/issues
- Discussions: https://github.com/catlog22/Claude-Code-Workflow/discussions
Community
- Documentation: Project Wiki
- Changelog: Release History
- License: MIT License
🙏 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 agentsb956943: Workflow architecture documentation updates8baca52: README v2.0 alignment and four-layer architecture0756682: Python CLI cleanup and modernizationbe4db94: Concept evaluation framework addition817f51c: Qwen CLI integration and task commands
For complete commit history, see: GitHub Commits