# v0.14.0 Interactive TUI - Week 2 Plan

**Phase 5: Interactive TUI Development**
**Release Target**: 2025-12-27 (3 weeks)
**Current Status**: Planning Phase
**Week**: 2 of 3 (AI Integration)

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## 📋 Week 2 Overview

**Goal**: Deep AI integration with semantic search, task suggestions, code review, and KB generation workflows

**Duration**: December 16-22, 2025 (7 days)

**Focus Areas**:
1. Live AI task suggestions based on context
2. Semantic search interface with result ranking
3. Interactive code review workflow
4. Automated KB generation from commits
5. AI chat interface for Q&A

---

## 🎯 Week 2 Objectives

### Primary Goals
- ✅ Implement live task suggestion system
- ✅ Build semantic search UI with visualization
- ✅ Create code review workflow with AI assistance
- ✅ Add automated KB generation interface
- ✅ Integrate AI chat for interactive queries
- ✅ Write 60+ tests for AI features

### Success Criteria
- AI suggestions refresh every 30 seconds
- Semantic search returns results <2s
- Code review UI shows actionable insights
- KB generation creates valid entries
- Chat interface feels natural
- 90%+ test coverage maintained

---

## 📅 Day-by-Day Breakdown

### Day 1 (Dec 16): Live Task Suggestions

**Morning Session (4h)**
1. **Task Suggestion Service** (2.5h)
   - Create `TaskSuggestionService` class
   - Integrate with `clauxton.analysis.task_suggester`
   - Analyze recent git commits
   - Extract patterns and suggest tasks
   - Rank by confidence and relevance

2. **Suggestion Widget Enhancement** (1.5h)
   - Update `AISuggestionPanel` for tasks
   - Add task-specific metadata display
   - Show related files and context
   - Add "Create Task" quick action
   - Implement suggestion feedback loop

**Afternoon Session (4h)**
3. **Context Awareness** (2h)
   - Detect current working branch
   - Identify active files (from git status)
   - Analyze recent user actions
   - Integrate with `ContextManager`
   - Update suggestions based on context

4. **Real-time Updates** (1.5h)
   - Implement background worker
   - Poll for changes every 30s
   - Update UI without blocking
   - Add loading indicators
   - Handle update errors gracefully

5. **Testing** (0.5h)
   - Write service tests
   - Test context detection
   - Test real-time updates

**Expected Deliverables**:
- ✅ `clauxton/tui/services/task_suggestion_service.py` (200+ lines)
- ✅ Enhanced `AISuggestionPanel` (50+ lines added)
- ✅ `tests/tui/test_task_suggestions.py` (15 tests)

---

### Day 2 (Dec 17): Semantic Search Interface

**Morning Session (4h)**
1. **Search Results Widget** (2.5h)
   - Create `SearchResultsWidget`
   - Display ranked results with scores
   - Show result type (KB/Task/File/Symbol)
   - Add result preview on hover
   - Implement pagination (20 results/page)

2. **Result Ranking Visualization** (1.5h)
   - Add confidence bar for each result
   - Color-code by relevance (green/yellow/red)
   - Show why result was matched
   - Display matching keywords
   - Add "relevance explanation" tooltip

**Afternoon Session (4h)**
3. **Advanced Search Options** (2h)
   - Add filter panel (by type, date, category)
   - Implement sort options (relevance/date/name)
   - Add "Search in results" feature
   - Support boolean operators (AND/OR/NOT)
   - Add regex search mode

4. **Search History** (1.5h)
   - Track recent searches
   - Show search history dropdown
   - Add "Search again" quick action
   - Implement search bookmarks
   - Add keyboard shortcut (Ctrl+H)

5. **Testing** (0.5h)
   - Write search UI tests
   - Test filtering and sorting
   - Test search history

**Expected Deliverables**:
- ✅ `clauxton/tui/widgets/search_results.py` (220+ lines)
- ✅ `clauxton/tui/widgets/search_filters.py` (150+ lines)
- ✅ `tests/tui/test_search_interface.py` (15 tests)

---

### Day 3 (Dec 18): Code Review Workflow

**Morning Session (4h)**
1. **Code Review Screen** (2.5h)
   - Create `CodeReviewScreen`
   - Show file diff with syntax highlighting
   - Display AI-generated insights
   - Add issue markers (🔴 critical, 🟡 warning, 🟢 suggestion)
   - Implement side-by-side diff view

2. **AI Review Service** (1.5h)
   - Create `CodeReviewService`
   - Analyze code changes with patterns
   - Detect potential issues
   - Suggest improvements
   - Generate summary report

**Afternoon Session (4h)**
3. **Interactive Review Actions** (2h)
   - Add "Accept Suggestion" button
   - Add "Dismiss" with reason
   - Implement "Ask AI" for clarification
   - Add "Create Task" from issue
   - Track review feedback

4. **Review History** (1.5h)
   - Store past reviews
   - Show review timeline
   - Compare review suggestions over time
   - Add "Re-review" action
   - Export review report

5. **Testing** (0.5h)
   - Write review screen tests
   - Test AI integration
   - Test action handlers

**Expected Deliverables**:
- ✅ `clauxton/tui/screens/code_review.py` (250+ lines)
- ✅ `clauxton/tui/services/code_review_service.py` (180+ lines)
- ✅ `tests/tui/test_code_review.py` (15 tests)

---

### Day 4 (Dec 19): KB Generation UI

**Morning Session (4h)**
1. **KB Generation Screen** (2.5h)
   - Create `KBGenerationScreen`
   - Show commit list with checkboxes
   - Preview generated KB entry
   - Allow manual editing before save
   - Add category auto-suggestion

2. **Generation Service** (1.5h)
   - Create `KBGenerationService`
   - Integrate with `DecisionExtractor`
   - Extract decisions from commits
   - Generate entry title and content
   - Suggest relevant tags

**Afternoon Session (4h)**
3. **Batch Generation** (2h)
   - Support selecting multiple commits
   - Generate multiple KB entries
   - Show generation progress
   - Handle generation errors
   - Add "Review & Save" workflow

4. **Generation Settings** (1.5h)
   - Add confidence threshold slider
   - Configure auto-categorization
   - Set default tags
   - Choose template format
   - Save user preferences

5. **Testing** (0.5h)
   - Write generation UI tests
   - Test batch operations
   - Test error handling

**Expected Deliverables**:
- ✅ `clauxton/tui/screens/kb_generation.py` (220+ lines)
- ✅ `clauxton/tui/services/kb_generation_service.py` (150+ lines)
- ✅ `tests/tui/test_kb_generation.py` (15 tests)

---

### Day 5 (Dec 20): AI Chat Interface

**Morning Session (4h)**
1. **Chat Widget** (2.5h)
   - Create `AIChatWidget`
   - Display conversation history
   - Show AI responses with markdown
   - Add typing indicator
   - Support code blocks and links

2. **Chat Input** (1.5h)
   - Create `ChatInputWidget`
   - Multi-line input support
   - Add emoji picker
   - Support slash commands (/kb, /task, /search)
   - Show character count

**Afternoon Session (4h)**
3. **AI Response Generation** (2h)
   - Create `AIChatService`
   - Use semantic search for context
   - Generate relevant responses
   - Add response caching
   - Handle streaming responses (if possible)

4. **Chat Features** (1.5h)
   - Add conversation threads
   - Implement "Ask about this" context menu
   - Add "Copy to clipboard" action
   - Export conversation to markdown
   - Save chat history

5. **Testing** (0.5h)
   - Write chat UI tests
   - Test response generation
   - Test slash commands

**Expected Deliverables**:
- ✅ `clauxton/tui/widgets/ai_chat.py` (200+ lines)
- ✅ `clauxton/tui/services/ai_chat_service.py` (150+ lines)
- ✅ `tests/tui/test_ai_chat.py` (15 tests)

---

### Day 6 (Dec 21): Integration & Workflows

**Morning Session (4h)**
1. **Cross-Feature Integration** (2h)
   - Connect search → code review
   - Link suggestions → task creation
   - Integrate chat → KB generation
   - Add "Related Items" panel
   - Implement seamless navigation

2. **Workflow Optimization** (2h)
   - Profile AI response times
   - Optimize data loading
   - Add request batching
   - Implement result caching
   - Reduce UI lag

**Afternoon Session (4h)**
3. **User Experience Polish** (2h)
   - Add loading animations
   - Improve error messages
   - Add success notifications
   - Implement undo/redo for AI actions
   - Add keyboard shortcuts for all AI features

4. **AI Settings Panel** (1.5h)
   - Create settings screen
   - Add AI feature toggles
   - Configure suggestion frequency
   - Set confidence thresholds
   - Manage chat history retention

5. **Testing** (0.5h)
   - Write workflow tests
   - Test cross-feature integration
   - Test settings persistence

**Expected Deliverables**:
- ✅ `clauxton/tui/screens/settings.py` (150+ lines)
- ✅ Integration improvements across all modules
- ✅ `tests/tui/test_workflows.py` (20 tests)

---

### Day 7 (Dec 22): Testing & Documentation

**Morning Session (4h)**
1. **Comprehensive Testing** (3h)
   - Run full test suite
   - Maintain 90%+ coverage
   - Add end-to-end tests
   - Test AI features with real data
   - Performance testing (1K+ entries)

2. **Manual QA** (1h)
   - Test all AI workflows
   - Verify suggestion quality
   - Check search relevance
   - Test code review accuracy

**Afternoon Session (4h)**
3. **Documentation** (3h)
   - Update `TUI_USER_GUIDE.md` with AI features
   - Document AI workflows
   - Add troubleshooting for AI issues
   - Create video demo script
   - Write developer guide for AI integration

4. **Week 2 Wrap-up** (1h)
   - Create progress report
   - Collect AI accuracy metrics
   - Plan Week 3 polish tasks
   - Prepare demo

**Expected Deliverables**:
- ✅ 90%+ test coverage maintained
- ✅ Updated documentation with AI features
- ✅ Week 2 progress report
- ✅ Demo-ready TUI

---

## 🧠 AI Integration Architecture

### Service Layer
```python
# AI Service Interface
class AIService(ABC):
    @abstractmethod
    async def process(self, context: Context) -> AIResult:
        """Process request with AI."""
        pass

# Concrete Implementations
- TaskSuggestionService
- CodeReviewService
- KBGenerationService
- AIChatService
```

### Data Flow
```
User Action → Context Manager → AI Service → Backend (semantic/analysis)
             ↓
        UI Update ← Result Processing ← AI Response
```

---

## 🎯 AI Feature Specifications

### 1. Task Suggestions
- **Input**: Recent commits, current branch, active files
- **Output**: 3-5 task suggestions with confidence scores
- **Refresh**: Every 30 seconds (configurable)
- **Quality**: >70% acceptance rate target

### 2. Semantic Search
- **Input**: Natural language query
- **Output**: Ranked results (KB/Tasks/Files/Symbols)
- **Response Time**: <2 seconds
- **Accuracy**: Top-3 relevance >80%

### 3. Code Review
- **Input**: Git diff or file path
- **Output**: Issues, suggestions, summary
- **Categories**: Critical (🔴), Warning (🟡), Info (🟢)
- **Actionability**: >70% useful insights

### 4. KB Generation
- **Input**: Commit SHA(s)
- **Output**: Structured KB entry
- **Confidence**: Show extraction confidence
- **Edit**: Allow manual refinement

### 5. AI Chat
- **Input**: Natural language question
- **Output**: Contextual response with references
- **Context**: Use project KB, tasks, files
- **Features**: Code blocks, links, suggestions

---

## 📊 Success Metrics

### Performance
- ✅ AI response time <2s (90th percentile)
- ✅ Suggestion refresh <500ms UI impact
- ✅ Search results render <100ms
- ✅ No memory leaks with long sessions

### Quality
- ✅ Task suggestion acceptance >70%
- ✅ Search top-3 relevance >80%
- ✅ Code review actionability >70%
- ✅ KB generation quality >75%

### User Experience
- ✅ All AI features discoverable
- ✅ Clear confidence indicators
- ✅ Helpful error messages
- ✅ Smooth transitions

---

## 🚧 Potential Challenges

### Technical
1. **AI Response Latency**
   - Risk: High
   - Mitigation: Caching, background processing, loading states

2. **Result Quality**
   - Risk: Medium
   - Mitigation: Tunable thresholds, user feedback loop

3. **Context Management**
   - Risk: Medium
   - Mitigation: Efficient data structures, incremental updates

### UX
1. **Information Overload**
   - Risk: Medium
   - Mitigation: Progressive disclosure, customizable panels

2. **AI Explainability**
   - Risk: Low
   - Mitigation: Show confidence scores, explain matching

---

## 📝 Week 2 Deliverables Checklist

### Code
- [ ] 5 new screens (review, generation, settings, chat)
- [ ] 5 new AI services
- [ ] 10+ new widgets
- [ ] Cross-feature integration

### Tests
- [ ] 60+ new tests
- [ ] End-to-end AI workflows
- [ ] Performance benchmarks
- [ ] 90%+ coverage maintained

### Documentation
- [ ] Updated user guide with AI features
- [ ] AI workflow documentation
- [ ] Troubleshooting guide
- [ ] Developer guide for AI integration

### Demo
- [ ] All AI features working
- [ ] Real data demonstrations
- [ ] Performance within targets

---

## 🔄 Transition to Week 3

### Handoff Items
1. **Fully functional AI features** with real-time updates
2. **Test coverage report** showing quality metrics
3. **Performance benchmarks** for all AI operations
4. **User feedback** from internal testing

### Week 3 Preview
- Animations and visual polish
- Accessibility improvements
- Error handling refinement
- Final performance optimization
- Release preparation

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**Last Updated**: 2025-10-27
**Status**: Ready to Start ✅
**Next Review**: End of Day 1
