335 lines
9.5 KiB
Markdown
335 lines
9.5 KiB
Markdown
# Sprint Planning & Execution Guide
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## 🎯 Sprint Overview
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### Total Timeline: 6 Weeks (3 Sprints)
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- **Sprint 1**: Foundation (Weeks 1-2) - Epic 1 Completion
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- **Sprint 2**: AI Engine (Weeks 3-4) - Epic 2 Core
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- **Sprint 3**: Advanced Features (Weeks 5-6) - Epic 2 Completion
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---
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## 📅 Sprint 1: Foundation & Core YouTube Integration
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### Sprint Goal
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*"Deliver a working system that can extract transcripts from any YouTube video through a clean web interface"*
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### Sprint Backlog
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#### Week 1 (Days 1-5)
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**Focus**: Backend YouTube Integration
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 1-2** | Story 1.2: URL Validation Service | | ⏳ Ready |
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| | - Task 1: Backend validation service | | |
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| | - Task 2: Frontend validation hook | | |
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| | - Task 3: API endpoint | | |
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| **Day 3-4** | Story 1.2: Complete & Test | | |
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| | - Task 4: Playlist detection | | |
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| | - Task 5: UI components | | |
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| | - Task 6: Integration testing | | |
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| **Day 5** | Story 1.3: Start Transcript Service | | |
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| | - Task 1: Primary extraction | | |
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#### Week 2 (Days 6-10)
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**Focus**: Complete Transcript & UI
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 6-7** | Story 1.3: Transcript Extraction | | |
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| | - Task 2: Fallback methods | | |
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| | - Task 3: Processing pipeline | | |
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| | - Task 4: API integration | | |
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| **Day 8-9** | Story 1.4: Web Interface | | |
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| | - Task 1: Project foundation | | |
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| | - Task 2: URL submission form | | |
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| | - Task 3: Progress tracking | | |
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| **Day 10** | Story 1.4: Complete & Demo | | |
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| | - Task 4: Transcript display | | |
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| | - Task 5-7: Polish & testing | | |
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| | **Sprint 1 Demo Prep** | | |
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### Sprint 1 Deliverables
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- ✅ Fully functional URL validation (all YouTube formats)
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- ✅ Transcript extraction with fallback mechanisms
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- ✅ Responsive web interface with real-time feedback
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- ✅ End-to-end flow: URL → Transcript display
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### Sprint 1 Demo Script
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```
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1. Open web interface at http://localhost:3000
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2. Paste various YouTube URLs (standard, short, embed)
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3. Show real-time validation feedback
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4. Submit URL and show progress tracking
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5. Display extracted transcript with metadata
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6. Demonstrate error handling with invalid URLs
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```
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---
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## 📅 Sprint 2: AI Summarization Engine Core
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### Sprint Goal
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*"Implement intelligent AI summarization with cost-effective processing and caching"*
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### Sprint Backlog
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#### Week 3 (Days 11-15)
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**Focus**: AI Integration & Pipeline
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 11-12** | Story 2.1: OpenAI Integration | | |
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| | - Task 1: AI service foundation | | |
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| | - Task 2: OpenAI integration | | |
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| | - Task 3: Summary generation | | |
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| **Day 13** | Story 2.1: Complete | | |
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| | - Task 4: Chunking strategy | | |
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| | - Task 5-7: API & testing | | |
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| **Day 14-15** | Story 2.2: Pipeline Start | | |
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| | - Task 1: Pipeline orchestration | | |
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| | - Task 2: Metadata integration | | |
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#### Week 4 (Days 16-20)
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**Focus**: Pipeline Completion & Caching
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 16-17** | Story 2.2: Pipeline Complete | | |
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| | - Task 3: Content optimization | | |
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| | - Task 4: Progress tracking | | |
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| | - Task 5-7: Quality & integration | | |
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| **Day 18-19** | Story 2.3: Caching System | | |
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| | - Task 1: Cache architecture | | |
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| | - Task 2: Transcript caching | | |
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| | - Task 3: Summary caching | | |
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| **Day 20** | Sprint 2 Integration | | |
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| | - Task 4-7: Cache integration | | |
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| | **Sprint 2 Demo Prep** | | |
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### Sprint 2 Deliverables
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- ✅ OpenAI GPT-4o-mini integration
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- ✅ End-to-end processing pipeline
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- ✅ Multi-level caching system
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- ✅ Cost tracking (<$0.005 per summary)
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- ✅ Quality validation and retry logic
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### Sprint 2 Demo Script
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```
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1. Submit YouTube URL for processing
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2. Show pipeline progress (validation → extraction → summarization)
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3. Display AI-generated summary with key points
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4. Demonstrate cache hit on second request (instant response)
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5. Show cost tracking and processing metrics
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6. Display quality scores and confidence levels
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```
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---
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## 📅 Sprint 3: Advanced Features & Polish
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### Sprint Goal
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*"Complete the YouTube Summarizer with multi-model support and professional export capabilities"*
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### Sprint Backlog
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#### Week 5 (Days 21-25)
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**Focus**: Multi-Model Support
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 21-22** | Story 2.4: Model Architecture | | |
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| | - Task 1: Model registry | | |
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| | - Task 2: Model implementations | | |
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| **Day 23-24** | Story 2.4: Intelligence | | |
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| | - Task 3: Model selection | | |
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| | - Task 4: Fallback logic | | |
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| **Day 25** | Story 2.4: Complete | | |
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| | - Task 5-7: Analytics & UI | | |
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#### Week 6 (Days 26-30)
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**Focus**: Export & Final Polish
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| Day | Story/Task | Developer | Status |
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|-----|------------|-----------|--------|
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| **Day 26-27** | Story 2.5: Export System | | |
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| | - Task 1: Export architecture | | |
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| | - Task 2: Format exporters | | |
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| | - Task 3: Template system | | |
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| **Day 28** | Story 2.5: Complete | | |
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| | - Task 4: Bulk export | | |
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| | - Task 5-7: API & UI | | |
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| **Day 29-30** | Final Integration | | |
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| | - Performance optimization | | |
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| | - Bug fixes & polish | | |
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| | **Final Demo Prep** | | |
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### Sprint 3 Deliverables
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- ✅ Multi-model support (OpenAI, Anthropic, DeepSeek)
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- ✅ Intelligent model selection based on content
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- ✅ Export in 5 formats (MD, PDF, HTML, JSON, Text)
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- ✅ Bulk export with organization
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- ✅ Professional templates and branding
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### Sprint 3 Demo Script
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```
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1. Show model comparison for a video
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2. Demonstrate automatic model selection
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3. Process with different priority settings (cost/quality/speed)
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4. Export summary in multiple formats
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5. Show bulk export of multiple summaries
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6. Display professional PDF with branding
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7. Demonstrate complete user journey
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```
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---
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## 📊 Velocity Tracking
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### Story Points Estimation
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| Story | Points | Complexity | Risk |
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|-------|--------|------------|------|
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| 1.2 URL Validation | 5 | Medium | Low |
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| 1.3 Transcript Extraction | 8 | High | Medium |
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| 1.4 Basic Web Interface | 8 | High | Low |
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| 2.1 Single AI Model | 5 | Medium | Low |
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| 2.2 Summary Pipeline | 8 | High | Medium |
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| 2.3 Caching System | 5 | Medium | Low |
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| 2.4 Multi-Model Support | 8 | High | Medium |
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| 2.5 Export Functionality | 5 | Medium | Low |
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**Total Points**: 52
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**Points per Sprint**: Sprint 1: 21, Sprint 2: 18, Sprint 3: 13
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---
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## 🎯 Daily Standup Schedule
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### Format (15 minutes max)
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```
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Time: 9:00 AM daily
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Location: Team channel / Video call
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Agenda:
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1. Yesterday's accomplishments (2 min/person)
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2. Today's plan (2 min/person)
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3. Blockers and needs (1 min/person)
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4. Quick sync on sprint progress
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```
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### Standup Template
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```markdown
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**[Your Name] - [Date] - Story [X.Y]**
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✅ Yesterday: [What you completed]
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📋 Today: [What you're working on]
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🚧 Blockers: [Any impediments]
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💡 Notes: [Anything team should know]
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```
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---
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## 🔄 Sprint Ceremonies
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### Sprint Planning (2 hours)
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- Review sprint goal
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- Break down stories into tasks
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- Estimate effort
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- Assign work
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- Identify dependencies
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### Daily Standups (15 minutes)
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- Quick sync on progress
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- Identify blockers
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- Coordinate pair programming
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### Sprint Review/Demo (1 hour)
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- Demonstrate completed stories
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- Get stakeholder feedback
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- Celebrate achievements
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- Document learnings
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### Sprint Retrospective (1 hour)
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- What went well?
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- What could improve?
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- Action items for next sprint
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- Update velocity metrics
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---
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## 📈 Risk Management
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### Identified Risks & Mitigations
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| Risk | Impact | Probability | Mitigation |
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|------|--------|-------------|------------|
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| YouTube API changes | High | Low | Use multiple extraction methods |
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| AI API rate limits | Medium | Medium | Implement caching and retry logic |
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| Cost overruns | Medium | Low | Monitor usage, set limits |
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| Transcript unavailable | Medium | Medium | Multiple fallback methods |
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| Model unavailability | Low | Low | Multi-model fallback system |
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---
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## ✅ Definition of Ready
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A story is READY for development when:
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- [ ] Story file exists with all sections complete
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- [ ] Acceptance criteria are clear and testable
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- [ ] Dev Notes include code examples
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- [ ] Dependencies are completed
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- [ ] Architecture references are available
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- [ ] File structure is defined
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- [ ] Testing requirements are specified
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---
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## ✅ Definition of Done
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A story is DONE when:
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- [ ] All acceptance criteria met
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- [ ] All tasks completed
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- [ ] Tests written and passing (>80% coverage)
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- [ ] Code reviewed and approved
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- [ ] Documentation updated
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- [ ] Demo-able to stakeholders
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- [ ] No critical bugs
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- [ ] Story status updated
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---
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## 🚀 Quick Start Commands
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```bash
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# Start your day
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git pull origin main
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git checkout -b feature/story-X.Y-description
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# Run the stack
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docker-compose up -d
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cd backend && uvicorn main:app --reload
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cd frontend && npm run dev
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# Run tests frequently
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pytest tests/ -v # Backend
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npm test # Frontend
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# Before committing
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pytest --cov=src # Check coverage
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npm run lint # Frontend linting
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git status # Review changes
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```
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---
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## 📞 Escalation Path
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1. **Technical Questions**: Check story Dev Notes → Architecture doc → Team lead
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2. **Blockers**: Raise in standup → Scrum Master → Product Owner
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3. **Scope Changes**: Document request → Discuss in sprint planning
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4. **Critical Issues**: Immediately notify team lead + Scrum Master
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---
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*Sprint planning prepared by Bob (Scrum Master)*
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*Ready for Sprint 1 kickoff!* |