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20 changes: 13 additions & 7 deletions plans/outer-loop-ai-responder-20250802/01-implementation-plan.md
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## 🚀 Final Implementation Plan

**Ready-to-ship auto-pilot feature for CCManager in 1-2 weeks**
**Ready-to-ship auto-pilot feature for CCManager in 2-3 weeks**

Clean, focused implementation that adds intelligent LLM-based guidance to Claude Code sessions with minimal code changes and maximum user value.

## 📋 Complete Implementation Roadmap

### Week 1: Core Auto-pilot (5 days)
### Week 1: Core Auto-pilot (8 days)

**PR1: Basic Auto-pilot Core** (3 days)
- ✈️ Auto-pilot toggle with `'p'` keystroke
- Basic LLM watchdog monitoring Claude Code output
- Simple intervention delivery to PTY terminal
- Status indicator: `✈️ Auto-pilot: ACTIVE/STANDBY`

**PR2: Pattern-Based Guidance** (2 days)
**PR2: User Guide Prompt & Self-Updating** (5 days)
- 🎨 Configurable guide prompts for personalized guidance
- 🧠 LLM-based pattern learning from user interactions
- 🔄 Self-updating prompts that evolve with user behavior
- 🔒 Privacy controls with user review and approval

### Week 2: Advanced Intelligence (4 days)

**PR3: Pattern-Based Guidance** (2 days)
- ⚡ Lightning-fast pattern detection (< 10ms)
- 🚨 Error detection with immediate guidance
- 🤔 Overthinking detection and progress nudges
- Smart throttling: max 3 guidances/hour, critical always allowed

### Week 2: Intelligence & Polish (5 days)

**PR3: Context-Aware Intelligence** (2 days)
**PR4: Context-Aware Intelligence** (2 days)
- 🔍 Project type detection (React, Node.js, TypeScript, etc.)
- 🛠 Framework-specific guidance patterns
- 📊 Git status awareness and file change context
- 🎯 Targeted guidance based on project characteristics

**Testing & Polish** (3 days)
### Week 3: Testing & Polish (3 days)
- Comprehensive testing across project types
- Performance optimization and error handling
- Documentation and user experience refinement
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193 changes: 193 additions & 0 deletions plans/outer-loop-ai-responder-20250802/03-pr2-guide-prompt.md
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# PR2: User Guide Prompt & Self-Updating Intelligence

## 🎯 Goal
Add configurable guide prompts that learn from user interactions to provide personalized, adaptive guidance for each developer's workflow.

## ✨ Features Added
- 🎨 **Simple Guide Prompt**: Text field for custom guidance instructions
- 🧠 **Pattern Learning**: LLM-based extraction of user instruction themes
- 🔄 **Self-Updating Prompts**: Automatically evolve based on user behavior
- 🔒 **Privacy Controls**: Opt-in learning with user review and approval
- 📊 **Pattern Analysis**: Detect recurring themes in user interactions
- ⚙️ **Full User Control**: Manual override, pattern review, learning toggle

## 📁 Implementation Approach

### Phase 1: Simple Guide Prompt (Day 1)
- **AutopilotConfig Extension**: Add `guidePrompt?: string` field
- **LLMClient Enhancement**: Inject user guidance into analysis prompt
- **UI Addition**: Textarea in autopilot configuration form
- **Simple Integration**: Append guide prompt to existing analysis prompt

### Phase 2: Input Monitoring (Day 2)
- **UserInputPattern Interface**: Track user interactions with Claude
- **PatternTracker Service**: Record user inputs, context, and timing
- **Input Classification**: Categorize instructions, corrections, questions
- **Privacy-First Storage**: Configurable data retention and opt-in

### Phase 3: Pattern Learning Engine (Days 3-4)
- **PatternLearner Service**: LLM-based analysis of user interaction patterns
- **Theme Extraction**: Identify recurring preferences and workflow patterns
- **PromptEvolver Service**: Generate updated guide prompts from learned patterns
- **Confidence Scoring**: Rate pattern reliability before suggesting updates

### Phase 4: User Control & Integration (Day 5)
- **Pattern Review UI**: Show learned patterns before applying
- **Approval Workflow**: User can approve, reject, or modify suggestions
- **Learning Controls**: Toggle learning on/off, clear learned patterns
- **Transparency**: Show which guidance comes from manual vs learned prompts

## 🧠 Learning Strategy

### What Gets Monitored
```typescript
interface UserInputPattern {
sessionId: string;
timestamp: Date;
input: string;
context: string; // Recent Claude output that prompted this input
inputType: 'instruction' | 'correction' | 'question';
isGuidanceRelated: boolean; // LLM determines if relevant for learning
}
```

### Pattern Categories
- **Code Style**: "Use TypeScript strict mode", "Write tests first"
- **Workflow**: "Check existing utilities", "Follow project patterns"
- **Architecture**: "Keep components small", "Prefer composition"
- **Communication**: "Be more concise", "Explain your reasoning"
- **Testing**: "Test edge cases", "Mock external dependencies"

### Learning Examples
```typescript
// User frequently says: "Write tests first"
// System learns: {
// category: 'testing',
// instruction: 'Emphasize test-driven development',
// confidence: 0.85
// }

// User often corrects: "Use existing utility functions"
// System learns: {
// category: 'workflow',
// instruction: 'Check for existing utilities before implementing',
// confidence: 0.92
// }
```

## 🔒 Privacy & Control Design

### User Controls
- **Learning Toggle**: Disabled by default, clear explanation
- **Pattern Review**: See detected patterns before they're applied
- **Manual Override**: Always maintain ability to edit final prompt
- **Data Management**: Clear patterns, export/import, retention controls
- **Transparency**: Visual indicators of manual vs learned guidance sources

### Learning Approval Flow
1. System detects patterns from recent interactions
2. User receives notification: "New guidance patterns detected"
3. Review dialog shows proposed additions to guide prompt
4. User can approve all, approve some, or reject
5. Approved patterns integrated into guide prompt
6. User can always manually edit the final result

## ⚙️ Configuration Schema

### AutopilotConfig Extension
```typescript
interface AutopilotConfig {
// ... existing fields
guidePrompt?: string; // Manual guidance instructions
learningConfig?: {
enabled: boolean; // Opt-in learning
approvalRequired: boolean; // Always true for now
retentionDays: number; // Default 30 days
minPatternConfidence: number; // Default 0.7
};
}

interface LearnedPattern {
id: string;
category: 'style' | 'workflow' | 'testing' | 'architecture' | 'communication';
instruction: string;
confidence: number;
frequency: number;
lastSeen: Date;
approved: boolean;
}
```

### Prompt Generation
```typescript
// Final analysis prompt structure:
const finalPrompt = `
${baseAnalysisPrompt}
${projectContext}

USER'S GUIDANCE INSTRUCTIONS:
${config.guidePrompt || 'No custom guidance provided'}

LEARNED USER PREFERENCES:
${approvedPatterns.map(p => `- ${p.instruction}`).join('\n')}

Focus guidance on these user preferences while maintaining general helpfulness.
`;
```

## 🧪 Testing Approach

### Learning Accuracy
- **Pattern Detection**: Validate correct theme extraction from sample inputs
- **False Positive Prevention**: Ensure one-off comments don't become patterns
- **Confidence Calibration**: Test that confidence scores correlate with pattern quality
- **Noise Filtering**: Verify non-guidance inputs are correctly ignored

### User Experience
- **Approval Flow**: Test pattern review and approval workflow
- **Privacy Controls**: Validate learning can be disabled/enabled cleanly
- **Performance**: Ensure pattern analysis doesn't slow down autopilot
- **Transparency**: Verify users understand source of guidance

### Integration
- **Prompt Quality**: Test that learned patterns improve guidance relevance
- **Manual Override**: Ensure user can always edit final prompt
- **Data Safety**: Test pattern storage and privacy controls

## 📋 Acceptance Criteria

### Phase 1: Simple Guide Prompt
- [ ] Guide prompt field in autopilot configuration UI
- [ ] User guidance properly injected into LLM analysis prompt
- [ ] Guide prompt persists in configuration storage
- [ ] Examples and helpful placeholder text provided

### Phase 2-4: Self-Updating Intelligence
- [ ] User inputs monitored with proper privacy controls
- [ ] LLM correctly extracts recurring patterns from user interactions
- [ ] Pattern review UI shows learned patterns before applying
- [ ] Users can approve, reject, or modify suggested patterns
- [ ] Learning can be toggled on/off with clear data implications
- [ ] Learned patterns improve guidance relevance and personalization
- [ ] Manual prompt editing always available as override
- [ ] Pattern data respects retention policies and privacy controls

## 🚀 Estimated Timeline: 5 days
- **Day 1**: Simple guide prompt implementation and UI
- **Day 2**: Input monitoring infrastructure and storage
- **Days 3-4**: Pattern learning engine and prompt evolution
- **Day 5**: User control interface and approval workflow

## 🔮 Future Enhancements
- **Cross-Session Learning**: Patterns learned across multiple projects
- **Team Pattern Sharing**: Export/import patterns between team members
- **Pattern Categories**: More granular categorization and control
- **A/B Testing**: Compare guidance effectiveness with different prompts
- **Adaptive Confidence**: Adjust learning sensitivity based on user feedback

## 🎯 Success Metrics
- **Adoption**: % of users who configure guide prompts
- **Learning Engagement**: % of users who enable pattern learning
- **Pattern Quality**: User approval rate for suggested patterns
- **Guidance Relevance**: Improved user satisfaction with autopilot suggestions
- **Personalization**: Measurable differences in guidance style per user
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# PR2: Pattern-Based Guidance
# PR3: Pattern-Based Guidance

## 🎯 Goal
Add fast pattern recognition for common Claude Code issues and smart guidance delivery.
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# PR3: Context-Aware Intelligence
# PR4: Context-Aware Intelligence

## 🎯 Goal
Make auto-pilot aware of project context to provide smarter, framework-specific guidance and enable future workflow automation features like context-aware PR creation.
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55 changes: 24 additions & 31 deletions plans/outer-loop-ai-responder-20250802/README.md
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├── 00-autopilot-overview.md # Feature overview and concept
├── 01-implementation-plan.md # Complete implementation roadmap
├── 02-pr1-basic-autopilot.md # PR1: Basic auto-pilot core (3 days)
├── 03-pr2-pattern-guidance.md # PR2: Pattern-based guidance (2 days)
├── 04-pr3-context-awareness.md # PR3: Context-aware intelligence (2 days)
├── 03-pr2-guide-prompt.md # PR2: User guide prompt & self-updating (5 days)
├── 04-pr3-pattern-guidance.md # PR3: Pattern-based guidance (2 days)
├── 05-context-aware-pr-feature.md # Context-aware PR creation design (4 days)
├── 05-pr4-context-awareness.md # PR4: Context-aware intelligence (2 days)
├── 06-modular-architecture.md # Modular design for portability
└── 07-extended-roadmap.md # Advanced PRs for complete system
```
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**Ready-to-ship auto-pilot for CCManager**

- **PR1**: Basic auto-pilot toggle and LLM monitoring
- **PR2**: Fast pattern detection and smart guidance
- **PR3**: Context-aware intelligence and project understanding
- **Result**: Working auto-pilot that helps Claude Code sessions stay productive
- **PR2**: User guide prompts with self-updating intelligence
- **PR3**: Fast pattern detection and smart guidance
- **PR4**: Context-aware intelligence and project understanding
- **Result**: Working auto-pilot that learns user preferences and helps Claude Code sessions stay productive

### **Phase 2: Modular System** (Weeks 3-4)
**Portable, extensible intelligence platform**
### **Phase 2: Workflow Automation** (Weeks 3-4)
**Context-aware workflow automation and enhanced intelligence**

- **PR4**: Plugin system and advanced framework patterns
- **PR5**: Multi-session intelligence coordination
- **PR6**: Learning and adaptation from user feedback
- **Result**: Sophisticated system that improves over time and works across projects
- **PR5**: Context-aware PR creation design
- **PR6**: Plugin system and advanced framework patterns
- **PR7**: Multi-session intelligence coordination
- **Result**: Automated workflow assistance with intelligent PR creation

### **Phase 3: Production Platform** (Weeks 5-6)
**Enterprise-ready intelligent development assistant**

- **PR7**: Analytics dashboard and performance insights
- **PR8**: Advanced LLM providers and code generation capabilities
- **PR8**: Advanced learning and adaptation from user feedback
- **PR9**: Analytics dashboard and performance insights
- **PR10**: Advanced LLM providers and code generation capabilities
- **Result**: Comprehensive platform ready for team deployment

### **Phase 4: Workflow Automation** (Week 7)
**Context-aware workflow automation and PR creation**

- **PR9**: Context-aware PR creation with session analysis and compliance validation
- **Result**: Complete workflow automation that transforms session insights into actionable PRs

## ✈️ Auto-pilot Quick Start

### **What It Does**
Expand Down Expand Up @@ -104,24 +101,20 @@ autopilot.on('guidanceProvided', handleGuidance);
### **For MVP Implementation** (Weeks 1-2)
1. **Start**: `00-autopilot-overview.md` - Understand the concept
2. **Plan**: `01-implementation-plan.md` - Review complete roadmap
3. **Implement**: `02-pr1` → `03-pr2` → `04-pr3` - Follow PR sequence
3. **Implement**: `02-pr1` → `03-pr2` → `04-pr3` → `05-pr4` - Follow PR sequence
4. **Deploy**: Ready-to-ship auto-pilot feature!

### **For Modular System** (Weeks 3-4)
1. **Architecture**: `06-modular-architecture.md` - Understand modular design
2. **Advanced Features**: `07-extended-roadmap.md` - Review PR4-PR6 plans
3. **Implement**: Follow extended PR sequence for plugins and coordination
### **For Workflow Automation** (Weeks 3-4)
1. **Context-Aware PRs**: `05-context-aware-pr-feature.md` - Detailed design and implementation plan
2. **Architecture**: `06-modular-architecture.md` - Understand modular design
3. **Advanced Features**: `07-extended-roadmap.md` - Review PR6-PR7 plans
4. **Implement**: Follow extended PR sequence for plugins and coordination

### **For Production Platform** (Weeks 5-6)
1. **Analytics**: `07-extended-roadmap.md` - PR7 analytics implementation
2. **Advanced AI**: `07-extended-roadmap.md` - PR8 multi-provider support
1. **Analytics**: `07-extended-roadmap.md` - PR9 analytics implementation
2. **Advanced AI**: `07-extended-roadmap.md` - PR10 multi-provider support
3. **Deploy**: Enterprise-ready intelligent development platform

### **For Workflow Automation** (Week 7)
1. **Context-Aware PRs**: `05-context-aware-pr-feature.md` - Detailed design and implementation plan
2. **GitHub Integration**: `07-extended-roadmap.md` - PR9 implementation guide
3. **Deploy**: Complete workflow automation with PR creation capabilities

## 🎯 Key Benefits

### **For Developers**
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