# CodeFRAME v2 Implementation Roadmap

**Last Updated**: 2026-01-17  
**Purpose**: Consolidate gap analysis findings into phase-wise implementation plan

---

## 🎯 Executive Summary

### Current Status Analysis
Based on comprehensive CLI functionality review and gap analysis, CodeFRAME v2 has:

**✅ Solid Foundation (~60% Complete)**:
- Core CLI infrastructure works independently
- Basic PRD and task management functional  
- Batch execution framework operational
- Basic verification gates and checkpointing working

**⚠️ Critical Gaps (~40% Missing)**:
1. **AI-driven PRD generation** - No `codeframe prd generate` command
2. **Credential management** - No comprehensive auth system (`codeframe auth`)
3. **Git/PR CLI workflow** - GitHub integration exists but no CLI commands
4. **Environment validation** - No pre-flight tool checking

**🔧 Quality Gaps (~20% Missing)**:
5. **Enhanced monitoring/debugging** - Basic event streaming only
6. **Advanced recovery** - No granular rollback beyond checkpoints

---

## 🚀 Implementation Roadmap

### Phase 1: Foundation Infrastructure (Week 1-2)
**Priority**: **CRITICAL** - Addresses workflow-blocking issues

#### 1.1 AI-Driven PRD Generation System
**Target**: Replace manual PRD creation with interactive AI discovery

**Implementation Tasks**:
- **Week 1**:
  - Create `codeframe/core/prd_discovery.py` module
  - Implement interactive AI session with contextual questioning
  - Add PRD generation from AI responses
  - Create CLI command: `codeframe prd generate` (primary over `prd add`)
  
- **Week 2**:
  - Integrate with existing task generation system
  - Add iterative refinement capabilities
  - Implement PRD versioning and change tracking

**Key Features**:
- Interactive AI asks about: scope, users, constraints, timeline
- Generates comprehensive PRD: technical specs, user stories, acceptance criteria
- Supports iterative refinement based on user feedback
- AI-powered requirement clarification and scope validation

#### 1.2 Comprehensive Credential Management
**Target**: Eliminate authentication failures across workflow

**Implementation Tasks**:
- **Week 1**:
  - Create `codeframe/core/credentials.py` module
  - Implement secure credential storage (encrypted files)
  - Add `codeframe/cli/auth_commands.py` with auth setup/management
  - Multi-provider support (LLM, GitHub, etc.)
  
- **Week 2**:
  - Integrate credential validation throughout CLI
  - Add credential health checking and rotation
  - Environment variable management and validation

**Key Features**:
- Secure credential storage per provider
- `codeframe auth setup` - Interactive configuration
- `codeframe auth list/validate/remove/rotate` - Management commands
- Automatic credential validation before operations
- Support for API key rotation without workflow interruption

#### 1.3 Enhanced Environment Validation
**Target**: Prevent mid-execution failures due to missing tools

**Implementation Tasks**:
- **Week 1**:
  - Create `codeframe/core/environment.py` module
  - Implement comprehensive tool detection
  - Add auto-installation with user consent
  - Create `codeframe/cli/env_commands.py` with validation commands
  
- **Week 2**:
  - Integration with existing workflow commands
  - Enhanced error messaging and fix suggestions
  - Environment compatibility checking

**Key Features**:
- `codeframe env check` - Comprehensive tool validation
- `codeframe env doctor` - Deep environment health analysis
- `codeframe env install-missing <tool>` - Auto-installation
- Pre-flight validation before batch execution
- Tool dependency resolution and installation guidance

### Phase 2: Core Enhancement (Week 3-4)
**Priority**: **HIGH** - Improves existing functionality

#### 2.1 Advanced Task Generation & Dependencies
**Target**: Complete task dependency management and analysis

**Implementation Tasks**:
- **Week 3**:
  - Enhance existing `_generate_tasks_with_llm()` with dependency analysis
  - Add circular dependency detection
  - Implement task template system
  - Add effort estimation and complexity analysis
  
- **Week 4**:
  - Create dependency graph visualization
  - Implement automatic task scheduling and critical path
  - Add task relationship management

**Key Features**:
- `codeframe tasks analyze --conflicts` - Detect dependency issues
- `codeframe tasks visualize-deps` - Show dependency graphs
- Task templates for common patterns
- Automatic task prioritization based on dependencies
- Critical path identification and scheduling

#### 2.2 Enhanced Batch Execution & Orchestration
**Target**: Complete production-ready batch execution system

**Implementation Tasks**:
- **Week 3**:
  - Enhance orchestrator with real-time monitoring
  - Add incremental state persistence during execution
  - Implement advanced retry logic with exponential backoff
  - Add batch progress estimation and ETA calculation
  
- **Week 4**:
  - Optimize parallel execution with resource management
  - Add batch pause/resume capabilities
  - Implement batch-level checkpointing
  - Add performance monitoring and profiling

**Key Features**:
- Enhanced `codeframe work batch` with advanced strategies
- Real-time event streaming with `codeframe work batch follow`
- Batch pause/resume/stop functionality
- Automatic checkpointing during long-running batches
- Performance optimization and resource management
- Progress estimation with ETAs

#### 2.3 Enhanced Quality Gates & Verification
**Target**: Comprehensive automated quality assurance

**Implementation Tasks**:
- **Week 3**:
  - Enhance existing gate framework with AI code review
  - Add security scanning and vulnerability detection
  - Implement performance regression testing
  - Add code complexity and maintainability analysis
  
- **Week 4**:
  - Add quality metrics tracking and trend analysis
  - Implement technical debt accumulation monitoring
  - Add automated regression detection and prevention
  - Create quality gate configuration and customization

**Key Features**:
- AI-assisted code review with best practices checking
- Security vulnerability scanning (OWASP patterns)
- Performance regression detection and prevention
- Quality metrics dashboard and reporting
- Technical debt tracking and analysis
- Configurable gate suites and custom rules

### Phase 3: User Experience (Week 5-6)
**Priority**: **MEDIUM** - Quality of life improvements

#### 3.1 Enhanced Human-in-the-Loop Features
**Target**: Improve blocker resolution and user feedback

**Implementation Tasks**:
- **Week 5**:
  - Enhance blocker system with AI-powered suggestions
  - Add rich context display with codebase references
  - Implement learning system for blocker patterns
  - Add impact analysis for different resolution approaches
  
- **Week 6**:
  - Add blocker resolution history and analytics
  - Implement automated blocker classification and routing
  - Add proactive blocker prevention through better AI responses

**Key Features**:
- AI-powered blocker resolution suggestions
- Rich blocker context with related code/PRD references
- Learning system from blocker resolution patterns
- Blocker impact analysis and timeline predictions
- Historical blocker analytics and prevention insights

#### 3.2 Rich Monitoring & Debugging
**Target**: Provide comprehensive observability

**Implementation Tasks**:
- **Week 5**:
  - Enhance event system with rich logging and filtering
  - Add debug mode for task execution with detailed logging
  - Implement performance profiling and bottleneck detection
  - Add resource usage monitoring and optimization suggestions
  
- **Week 6**:
  - Create monitoring dashboard with real-time metrics
  - Add log analysis and pattern recognition
  - Implement alerting for performance issues and failures
  - Add integration with external monitoring tools

**Key Features**:
- Rich event streaming with `codeframe work batch follow`
- Debug mode with detailed task execution logs
- Performance profiling and resource usage monitoring
- Real-time metrics dashboard and alerting
- Log analysis and failure pattern detection
- Integration with external monitoring systems

### Phase 4: Integration & Automation (Week 7-8)
**Priority**: **LOW** - Advanced features for power users

#### 4.1 Complete Git/PR Workflow
**Target**: End-to-end Git workflow automation

**Implementation Tasks**:
- **Week 7**:
  - Add comprehensive Git/PR CLI commands
  - Integrate AI-generated PR descriptions with business impact
  - Implement automated CI/CD integration and gate execution
  - Add multi-merge strategy support with conflict resolution
  
- **Week 8**:
  - Add release automation and changelog generation
  - Implement deployment pipeline integration
  - Add repository health monitoring and maintenance
  - Create workflow templates and automation patterns

**Key Features**:
- `codeframe pr create` with AI-generated descriptions
- `codeframe pr merge` with automated verification
- `codeframe pr status/list` with comprehensive PR management
- CI/CD pipeline integration and gate execution
- Automated changelog generation and release notes
- Release automation and deployment pipeline integration

#### 4.2 Workflow Automation & Templates
**Target**: Reduce repetitive configuration and enable reuse

**Implementation Tasks**:
- **Week 7**:
  - Create template management system for PRDs, tasks, workflows
  - Add workflow automation with pattern recognition
  - Implement profile management for different project types
  - Add success factor analysis and optimization
  
- **Week 8**:
  - Create workflow template library and marketplace
  - Implement intelligent task scheduling and resource allocation
  - Add predictive project timeline and effort estimation
  - Add workflow optimization and automation recommendations

**Key Features**:
- Template system for PRDs, tasks, and workflows
- Project and user profile management
- Workflow automation with pattern recognition
- Success factor analysis and predictive estimation
- Intelligent task scheduling and resource optimization

---

## 📋 Implementation Guidelines

### Development Principles
1. **Foundation First** - Complete Phase 1 before starting Phase 2
2. **Incremental Delivery** - Each week delivers working features
3. **Quality Gates** - All features must pass enhanced verification
4. **Backward Compatibility** - Maintain existing CLI command contracts
5. **Testing First** - Comprehensive tests for all new features
6. **Documentation Updates** - Keep CLI_WIREFRAME.md synchronized

### Success Metrics
- **Phase 1 Complete**: All basic workflows enhanced with AI and credential management
- **Phase 2 Complete**: Advanced task generation and batch execution production-ready
- **Phase 3 Complete**: Enhanced user experience with rich monitoring and debugging
- **Phase 4 Complete**: Full automation and integration capabilities

---

## 🚀 Risk Management

### Technical Risks
- **Dependency Management**: Complex task dependencies may impact performance
- **Credential Security**: Must follow security best practices for storage
- **Performance**: Rich features may impact CLI responsiveness
- **Testing**: Comprehensive test coverage needed for complex features

### Mitigation Strategies
- **Modular Implementation**: Each feature independently testable
- **Gradual Rollout**: Feature flags for gradual deployment
- **Performance Monitoring**: Real-time metrics and alerting
- **Security Audits**: Regular security reviews and penetration testing

---

## 📚 Timeline Summary

| Phase | Duration | Focus | Key Deliverables |
|-------|---------|-------|---------------|
| 1 | 2 weeks | Foundation | AI PRD generation, credential management, env validation |
| 2 | 2 weeks | Core Enhancement | Advanced task generation, batch execution, quality gates |
| 3 | 2 weeks | User Experience | Enhanced blockers, rich monitoring, debugging |
| 4 | 2 weeks | Integration & Automation | Complete Git/PR workflow, workflow automation, templates |

**Total Duration**: 8 weeks to fully enhanced CodeFRAME v2

---

## 🎯 Expected Transformation

**From**: Enhanced MVP with solid foundation but critical gaps
**To**: Production-ready AI development orchestration platform with:
- Seamless AI-driven project discovery
- Comprehensive credential and environment management  
- Advanced task generation and dependency-aware execution
- Rich monitoring, debugging, and quality assurance
- Complete Git/PR workflow automation
- Extensive template and workflow automation

This roadmap transforms CodeFRAME from a basic task automation tool into a comprehensive AI development platform that can handle real-world enterprise workflows while maintaining the CLI-first philosophy.