# Trace Implementation Plan
## 20-Week Roadmap to Production

**Document Version**: 1.0.0
**Date**: 2025-11-20
**Target**: Complete multi-view PM system with advanced verification

---

## Overview

This document provides a detailed 20-week implementation plan for trace, breaking down the comprehensive architecture into actionable phases with specific tasks, deliverables, and success criteria.

### Planning Principles

1. **Incremental Value**: Each phase delivers working features
2. **Test-Driven**: Write tests first, implementation second
3. **Module Size**: Keep all modules ≤350 lines (500 hard limit)
4. **Continuous Integration**: All tests must pass before moving forward
5. **No Technical Debt**: Complete each phase fully before proceeding

### Success Metrics

- ✅ **Code Coverage**: ≥80% line coverage, ≥70% branch coverage
- ✅ **Performance**: All operations meet latency targets
- ✅ **Quality**: Zero high-severity security issues
- ✅ **Verification**: All acceptance criteria formally verified
- ✅ **Documentation**: Complete API docs and user guides

---

## Phase 1: Foundation (Weeks 1-4)

**Goal**: Core infrastructure, data model, basic storage

### Week 1: Project Setup & Data Model

#### Tasks

1. **Project Structure**
   - [ ] Initialize uv project with pyproject.toml
   - [ ] Set up directory structure (server.py, tools/, services/, infrastructure/, tests/)
   - [ ] Configure Ruff, mypy, pytest
   - [ ] Create CI/CD pipeline (GitHub Actions)

2. **Core Data Model**
   - [ ] Define `UniversalItem` dataclass with all fields
   - [ ] Define `ViewType` enum (16 views)
   - [ ] Define `LinkType` enum (60+ link types)
   - [ ] Define `EventType` enum for event sourcing
   - [ ] Write Pydantic models for validation

3. **Database Schema**
   - [ ] Design SQLite schema for items, links, events
   - [ ] Create SQLAlchemy models
   - [ ] Write Alembic migrations
   - [ ] Set up test database fixture

**Deliverables**:
- ✅ Working project structure with dependencies installed
- ✅ Complete data models with type hints
- ✅ SQLite database with all tables
- ✅ 100% test coverage for data models

**Success Criteria**:
- `uv run pytest` passes all tests
- `uv run mypy .` has zero errors
- `uv run ruff check .` has zero violations
- Database migrations run successfully

### Week 2: Storage Layer & Event Sourcing

#### Tasks

1. **Repository Pattern**
   - [ ] Implement `ItemRepository` with CRUD operations
   - [ ] Implement `LinkRepository`
   - [ ] Implement `EventStore` for event sourcing
   - [ ] Add transaction support

2. **Event Sourcing Infrastructure**
   - [ ] Define event types (ITEM_CREATED, ITEM_UPDATED, etc.)
   - [ ] Implement event serialization (msgpack)
   - [ ] Create event replay mechanism
   - [ ] Add event versioning support

3. **Testing**
   - [ ] Unit tests for all repository methods
   - [ ] Integration tests for event sourcing
   - [ ] Test event replay from empty state
   - [ ] Test transaction rollback

**Deliverables**:
- ✅ Complete storage layer with repositories
- ✅ Working event sourcing system
- ✅ ≥80% test coverage

**Success Criteria**:
- Can create/read/update/delete items across all 16 views
- Events are persisted correctly
- Can replay events to reconstruct state
- All repository tests pass

### Week 3: CLI Foundation (Typer + Rich)

#### Tasks

1. **CLI Structure**
   - [ ] Create `cli.py` with Typer app
   - [ ] Implement command groups (item, version, plan, verify)
   - [ ] Add Rich formatting for output
   - [ ] Implement `--help` documentation

2. **Basic Commands**
   - [ ] `trace item create <view> <title>` - Create item
   - [ ] `trace item list <view>` - List items
   - [ ] `trace item show <id>` - Show item details
   - [ ] `trace item update <id> <field> <value>` - Update item
   - [ ] `trace item delete <id>` - Delete item

3. **Configuration**
   - [ ] Implement config file (~/.trace/config.toml)
   - [ ] Add environment variable support
   - [ ] Create `trace init` command for setup

**Deliverables**:
- ✅ Functional CLI with core commands
- ✅ Beautiful output with Rich
- ✅ Complete command documentation

**Success Criteria**:
- Can create/list/show/update/delete items via CLI
- Output is readable and formatted
- `trace --help` shows all commands
- Config file works correctly

### Week 4: NATS Integration & Basic Events

#### Tasks

1. **NATS Setup**
   - [ ] Add `nats-py` dependency
   - [ ] Create `NATSClient` wrapper
   - [ ] Implement connection management
   - [ ] Add reconnection logic

2. **Event Publishing**
   - [ ] Publish item change events to NATS
   - [ ] Define subject hierarchy (TRACE_EVENTS.*)
   - [ ] Implement message schemas
   - [ ] Add deduplication

3. **Basic Subscriber**
   - [ ] Create event subscriber for real-time updates
   - [ ] Implement callback registration
   - [ ] Add error handling and retries

**Deliverables**:
- ✅ NATS client integrated
- ✅ Events published on all item changes
- ✅ Basic event subscription working

**Success Criteria**:
- Item changes trigger NATS events
- Subscribers receive events in real-time
- No message loss
- Graceful reconnection on failure

---

## Phase 2: Versioning & History (Weeks 5-8)

**Goal**: Git-style versioning with time-travel

### Week 5: Commit Structure

#### Tasks

1. **Commit Model**
   - [ ] Define `Commit` dataclass
   - [ ] Implement content-addressable storage (SHA-256)
   - [ ] Create commit DAG structure
   - [ ] Add parent commit references

2. **Tree Structure**
   - [ ] Define `Tree` for view snapshots
   - [ ] Implement tree serialization
   - [ ] Add tree diffing
   - [ ] Create Merkle tree for integrity

3. **Commit Operations**
   - [ ] `commit_changes(message)` - Create commit
   - [ ] `get_commit(commit_id)` - Retrieve commit
   - [ ] `get_commit_history()` - List commits
   - [ ] `get_parent_commits(commit_id)` - Get parents

**Deliverables**:
- ✅ Complete commit infrastructure
- ✅ Content-addressable storage
- ✅ Commit graph structure

**Success Criteria**:
- Can create commits with parent references
- Commits are content-addressable
- Commit integrity verified via hash
- DAG structure maintained

### Week 6: Snapshot System

#### Tasks

1. **Snapshot Storage**
   - [ ] Define `Snapshot` model
   - [ ] Implement snapshot creation (every 100 events)
   - [ ] Add zstandard compression
   - [ ] Store snapshots in database

2. **Delta Storage**
   - [ ] Implement jsonpatch for deltas
   - [ ] Decide delta vs full storage (50% threshold)
   - [ ] Compress deltas
   - [ ] Link deltas to base snapshots

3. **Snapshot Recovery**
   - [ ] Load snapshot + replay events
   - [ ] Benchmark recovery time
   - [ ] Optimize for <500ms recovery

**Deliverables**:
- ✅ Automatic snapshot creation
- ✅ Delta compression working
- ✅ Fast state recovery

**Success Criteria**:
- Snapshots created every 100 events
- Delta storage saves >30% space
- State recovery <500ms for 1000 events
- No data loss

### Week 7: Semantic Versioning & Baselines

#### Tasks

1. **Conventional Commits**
   - [ ] Parse commit messages (feat:, fix:, etc.)
   - [ ] Detect breaking changes (!)
   - [ ] Implement version bump logic
   - [ ] Generate changelog

2. **Baseline Management**
   - [ ] Define `Baseline` model
   - [ ] Create named baselines (v1.0.0)
   - [ ] Tag commits with versions
   - [ ] Protect critical baselines

3. **CLI Commands**
   - [ ] `trace version current` - Show current version
   - [ ] `trace version history` - Version history
   - [ ] `trace version tag <name>` - Create baseline
   - [ ] `trace version release` - Auto-bump and tag

**Deliverables**:
- ✅ Automatic semantic versioning
- ✅ Baseline tagging system
- ✅ Changelog generation

**Success Criteria**:
- Versions auto-increment from commits
- Can create and restore baselines
- Changelog accurately reflects changes
- Protected baselines cannot be deleted

### Week 8: Time-Travel Engine

#### Tasks

1. **Time-Travel Core**
   - [ ] `travel_to_time(timestamp)` - Jump to time
   - [ ] `travel_to_baseline(name)` - Jump to baseline
   - [ ] `travel_to_commit(commit_id)` - Jump to commit
   - [ ] Reconstruct full state at target

2. **Diff Engine**
   - [ ] `diff_commits(a, b)` - Diff two commits
   - [ ] `diff_baselines(v1, v2)` - Diff baselines
   - [ ] Generate structured diff (added/removed/modified)
   - [ ] Visualize diff in CLI

3. **CLI Commands**
   - [ ] `trace time-travel --to <timestamp>` - Jump to time
   - [ ] `trace time-travel --baseline <name>` - Jump to version
   - [ ] `trace diff <v1> <v2>` - Show differences
   - [ ] `trace history --view <view>` - View history

**Deliverables**:
- ✅ Complete time-travel functionality
- ✅ Diff visualization
- ✅ <500ms time-travel performance

**Success Criteria**:
- Can jump to any point in history
- State correctly reconstructed
- Diff accurately shows changes
- Time-travel completes in <500ms

---

## Phase 3: PM Planning Features (Weeks 9-12)

**Goal**: PERT/WBS/DAG planning with critical path

### Week 9: Work Breakdown Structure (WBS)

#### Tasks

1. **WBS Engine**
   - [ ] Define `WBSTree` structure
   - [ ] Implement hierarchical decomposition
   - [ ] Enforce 100% rule (children = 100% of parent)
   - [ ] Validate 3-5 level depth

2. **Intelligent Decomposition**
   - [ ] Integrate BERT for NLP (Transformers library)
   - [ ] Extract user actions from feature descriptions
   - [ ] Infer subtasks automatically
   - [ ] Generate work packages

3. **CLI Commands**
   - [ ] `trace wbs create <feature_id>` - Generate WBS
   - [ ] `trace wbs show <feature_id>` - Visualize WBS
   - [ ] `trace wbs validate <feature_id>` - Check 100% rule

**Deliverables**:
- ✅ WBS auto-generation from features
- ✅ Hierarchical task structure
- ✅ NLP-powered decomposition

**Success Criteria**:
- WBS correctly decomposes features
- 100% rule enforced
- NLP extraction accuracy >70%
- CLI visualization clear

### Week 10: PERT/CPM Critical Path

#### Tasks

1. **Dependency Graph**
   - [ ] Define `TaskDAG` structure
   - [ ] Add task dependencies (DEPENDS_ON, BLOCKS, PRECEDES)
   - [ ] Validate DAG (no cycles)
   - [ ] Topological sort implementation

2. **Critical Path Calculation**
   - [ ] Implement forward pass (earliest start/finish)
   - [ ] Implement backward pass (latest start/finish)
   - [ ] Calculate slack (float) for each task
   - [ ] Identify critical path (zero slack)

3. **Schedule Optimization**
   - [ ] Parallelize non-critical tasks
   - [ ] Resource leveling
   - [ ] Crash critical path (fast-tracking)
   - [ ] Generate optimized schedule

4. **CLI Commands**
   - [ ] `trace plan critical-path <feature_id>` - Show critical path
   - [ ] `trace plan schedule <feature_id>` - Generate schedule
   - [ ] `trace plan optimize <feature_id>` - Optimize schedule

**Deliverables**:
- ✅ Critical path calculation
- ✅ Schedule optimization
- ✅ Gantt visualization

**Success Criteria**:
- Critical path correctly identified
- Schedule optimization saves >10% time
- <2s computation for 1000 task DAG
- No circular dependencies

### Week 11: JetStream Task Execution

#### Tasks

1. **JetStream Setup**
   - [ ] Configure TRACE_TASKS stream
   - [ ] Set up work queue retention
   - [ ] Create pull consumers
   - [ ] Implement exactly-once delivery

2. **Task Publisher**
   - [ ] Publish tasks to work queue
   - [ ] Add priority levels (critical, high, normal, low)
   - [ ] Implement task deduplication
   - [ ] Track task status in KV

3. **Worker Pool**
   - [ ] Create pull consumer workers
   - [ ] Implement task execution logic
   - [ ] Add retry logic (max 3 attempts)
   - [ ] Handle timeouts gracefully

**Deliverables**:
- ✅ JetStream work queue operational
- ✅ Worker pool executing tasks
- ✅ Task status tracking

**Success Criteria**:
- Tasks execute in parallel
- No duplicate execution
- Failed tasks retry correctly
- Status tracking accurate

### Week 12: DAG Coordination

#### Tasks

1. **Dependency Resolution**
   - [ ] Check dependencies before execution
   - [ ] Wait for dependency completion
   - [ ] Collect dependency results
   - [ ] Pass results to dependent tasks

2. **DAG Execution Engine**
   - [ ] `execute_dag(dag)` - Execute full DAG
   - [ ] Publish ready tasks to queue
   - [ ] Listen for completion events
   - [ ] Schedule newly ready tasks
   - [ ] Track overall execution state

3. **CLI Commands**
   - [ ] `trace dag execute <feature_id>` - Execute DAG
   - [ ] `trace dag status <execution_id>` - Check status
   - [ ] `trace dag results <execution_id>` - Get results

**Deliverables**:
- ✅ Complete DAG execution system
- ✅ Distributed coordination with NATS
- ✅ Real-time status tracking

**Success Criteria**:
- DAGs execute correctly with dependencies
- Tasks run in parallel when possible
- No deadlocks
- Execution status always accurate

---

## Phase 4: Verification & Quality (Weeks 13-16)

**Goal**: NL assertions, formal verification, smart contract validation

### Week 13: IntentGuard Integration

#### Tasks

1. **IntentGuard Setup**
   - [ ] Add IntentGuard dependency
   - [ ] Configure Qwen2.5-Coder model
   - [ ] Set confidence threshold (0.85)
   - [ ] Implement caching (LRU 1000 entries)

2. **NL Assertion Engine**
   - [ ] Parse acceptance criteria from items
   - [ ] Verify code against criteria
   - [ ] Multi-perspective voting (5 prompts)
   - [ ] Aggregate with confidence scoring

3. **CLI Integration**
   - [ ] `trace verify criterion <criterion_id>` - Verify single
   - [ ] `trace verify item <item_id>` - Verify all criteria
   - [ ] `trace verify feature <feature_id>` - Verify feature

**Deliverables**:
- ✅ IntentGuard fully integrated
- ✅ NL assertions working
- ✅ Confidence scoring

**Success Criteria**:
- Verification accuracy >85%
- Confidence threshold enforced
- <5s per criterion verification
- Caching reduces redundant verifications

### Week 14: Formal Verification (Hypothesis + Z3)

#### Tasks

1. **Property-Based Testing**
   - [ ] Integrate Hypothesis
   - [ ] Convert acceptance criteria to properties
   - [ ] Generate test inputs automatically
   - [ ] Run property-based tests

2. **Symbolic Execution**
   - [ ] Integrate Z3 solver
   - [ ] Convert criteria to Z3 formulas
   - [ ] Symbolically execute critical paths
   - [ ] Find counterexamples

3. **Hybrid Verification**
   - [ ] Combine NL + property-based + symbolic
   - [ ] Reconcile discrepancies
   - [ ] Trust hierarchy: symbolic > property > NL
   - [ ] Generate comprehensive reports

**Deliverables**:
- ✅ Property-based testing operational
- ✅ Symbolic execution for critical paths
- ✅ Hybrid verification reconciliation

**Success Criteria**:
- Property-based tests find edge cases
- Symbolic execution finds bugs NL misses
- Hybrid verification >99% accuracy
- Discrepancies logged and explained

### Week 15: Cryptographic Proofs & Audit Trail

#### Tasks

1. **Proof Generation**
   - [ ] Generate cryptographic proofs for verifications
   - [ ] Sign proofs with private key
   - [ ] Compute SHA-256 hashes
   - [ ] Store proofs in database

2. **Merkle Tree Audit Trail**
   - [ ] Build Merkle tree from proofs
   - [ ] Compute Merkle root
   - [ ] Generate Merkle proofs for inclusion
   - [ ] Verify proofs

3. **Immutable Storage**
   - [ ] Store proofs in TRACE_AUDIT stream
   - [ ] Set retention to unlimited
   - [ ] Replicate across 3 NATS nodes
   - [ ] Publish Merkle roots to NATS

**Deliverables**:
- ✅ Cryptographic proof generation
- ✅ Merkle tree audit trail
- ✅ Immutable storage

**Success Criteria**:
- All verifications have signed proofs
- Merkle tree correctly constructed
- Proof inclusion verifiable
- No audit trail modification possible

### Week 16: Quality Metrics Dashboard

#### Tasks

1. **Coverage Metrics**
   - [ ] Integrate coverage.py
   - [ ] Track line and branch coverage
   - [ ] Set thresholds (80% line, 70% branch)
   - [ ] Fail builds below threshold

2. **Complexity Metrics**
   - [ ] Integrate Radon for cyclomatic complexity
   - [ ] Integrate Lizard for function analysis
   - [ ] Calculate maintainability index
   - [ ] Alert on complexity >10

3. **Security Metrics**
   - [ ] Integrate Bandit for security scanning
   - [ ] Track vulnerability count
   - [ ] Severity scoring
   - [ ] Zero tolerance for high severity

4. **Dashboard**
   - [ ] Create `ValidationReport` model
   - [ ] Generate comprehensive reports
   - [ ] CLI command: `trace quality report`
   - [ ] Real-time updates via NATS

**Deliverables**:
- ✅ Complete quality metrics collection
- ✅ Real-time dashboard
- ✅ Automated quality gates

**Success Criteria**:
- Coverage ≥80% line, ≥70% branch
- Avg cyclomatic complexity ≤10
- Zero high-severity security issues
- Dashboard updates in real-time

---

## Phase 5: Integration & Polish (Weeks 17-20)

**Goal**: Complete system integration, optimization, documentation

### Week 17: Multi-Sig Approval & Advanced Features

#### Tasks

1. **Multi-Signature Approval**
   - [ ] Implement multi-sig workflow
   - [ ] Request approval from multiple verifiers
   - [ ] Collect signatures
   - [ ] Finalize approval when threshold met

2. **Continuous Verification**
   - [ ] File system watcher (watchdog)
   - [ ] Re-verify on code changes
   - [ ] Incremental verification with caching
   - [ ] Notify on verification failures

3. **CLI Commands**
   - [ ] `trace approve request <criterion_id>` - Request approval
   - [ ] `trace approve sign <approval_id>` - Add signature
   - [ ] `trace watch <path>` - Continuous verification

**Deliverables**:
- ✅ Multi-sig approval system
- ✅ Continuous verification
- ✅ Watch mode

**Success Criteria**:
- Multi-sig workflow completes correctly
- Watch mode detects changes within 1s
- Incremental verification >10x faster
- No false negatives

### Week 18: TUI (Textual) & Visualization

#### Tasks

1. **TUI Foundation**
   - [ ] Create Textual app structure
   - [ ] Implement main screen layout
   - [ ] Add navigation (tabs for 16 views)
   - [ ] Style with Textual CSS

2. **View Screens**
   - [ ] List view for each of 16 views
   - [ ] Detail view for items
   - [ ] Link visualization
   - [ ] Real-time updates via NATS

3. **Gantt Chart**
   - [ ] Visualize task timeline
   - [ ] Show critical path in red
   - [ ] Display dependencies
   - [ ] Interactive (click to drill down)

4. **Merkle Tree Visualization**
   - [ ] Display audit trail tree
   - [ ] Highlight verified proofs
   - [ ] Show Merkle root
   - [ ] Interactive proof verification

**Deliverables**:
- ✅ Complete TUI with all 16 views
- ✅ Gantt chart visualization
- ✅ Merkle tree explorer

**Success Criteria**:
- TUI responsive and beautiful
- Real-time updates work correctly
- Gantt chart renders correctly
- Merkle tree visualizes audit trail

### Week 19: Performance Optimization

#### Tasks

1. **Caching Strategy**
   - [ ] Implement multi-tier cache (memory, Redis, disk)
   - [ ] Cache item lookups
   - [ ] Cache verification results
   - [ ] Cache diff computations

2. **Query Optimization**
   - [ ] Add database indexes
   - [ ] Optimize N+1 queries
   - [ ] Batch database operations
   - [ ] Use connection pooling

3. **Parallel Processing**
   - [ ] Parallelize view loading
   - [ ] Parallelize verification
   - [ ] Batch event publishing
   - [ ] Use asyncio effectively

4. **Benchmarking**
   - [ ] Benchmark all operations
   - [ ] Identify bottlenecks
   - [ ] Profile with py-spy
   - [ ] Optimize hot paths

**Deliverables**:
- ✅ Multi-tier caching
- ✅ Optimized queries
- ✅ Parallel processing

**Success Criteria**:
- View switch <50ms
- Commit <100ms
- Time-travel <500ms
- Critical path <2s
- Full validation <30s

### Week 20: Documentation & Examples

#### Tasks

1. **API Documentation**
   - [ ] Generate API docs (Sphinx)
   - [ ] Document all public APIs
   - [ ] Add code examples
   - [ ] Publish to Read the Docs

2. **User Guide**
   - [ ] Getting started guide
   - [ ] CLI command reference
   - [ ] TUI usage guide
   - [ ] Advanced features guide

3. **Example Projects**
   - [ ] Example 1: Simple web app project
   - [ ] Example 2: ML model development
   - [ ] Example 3: Microservices architecture

4. **Video Tutorials**
   - [ ] Basic usage (10 min)
   - [ ] PM planning features (15 min)
   - [ ] Verification system (15 min)

5. **Migration Tools**
   - [ ] Import from Jira
   - [ ] Import from Linear
   - [ ] Import from GitHub Projects

**Deliverables**:
- ✅ Complete API documentation
- ✅ User guide with examples
- ✅ 3 example projects
- ✅ Video tutorials
- ✅ Migration tools

**Success Criteria**:
- All public APIs documented
- Examples run without errors
- User guide covers all features
- Migration tools tested

---

## Testing Strategy

### Test Pyramid

```
             /\
            /  \        10% - E2E Tests (full workflows)
           /____\
          /      \      30% - Integration Tests (components together)
         /        \
        /__________\    60% - Unit Tests (pure functions, models)
```

### Test Requirements

1. **Unit Tests**
   - Every function/method tested
   - Edge cases covered
   - Fast execution (<1s per test)
   - No external dependencies

2. **Integration Tests**
   - Test component interactions
   - Use test database
   - Test NATS integration
   - Test event sourcing

3. **End-to-End Tests**
   - Test complete workflows
   - Use real database and NATS
   - Test CLI commands
   - Test TUI interactions

4. **Performance Tests**
   - Benchmark all operations
   - Test with large datasets (10K+ items)
   - Test concurrent operations
   - Test memory usage

---

## Development Workflow

### Daily Workflow

1. **Morning**: Pick highest priority task from current week
2. **Write Tests First**: TDD - test then implement
3. **Implement**: Keep modules <350 lines
4. **Run Tests**: Ensure all tests pass
5. **Code Review**: Self-review before committing
6. **Commit**: Conventional commit message
7. **CI**: Ensure CI passes
8. **Document**: Update docs if needed

### Weekly Workflow

1. **Monday**: Review week's tasks, prioritize
2. **Daily Standups**: Track progress (async)
3. **Mid-Week**: Check if on track
4. **Friday**: Review week's accomplishments
5. **Weekly Demo**: Show working features

### Phase Completion Checklist

Before moving to next phase:

- [ ] All tasks completed
- [ ] All tests passing (≥80% coverage)
- [ ] All deliverables ready
- [ ] All success criteria met
- [ ] Code reviewed and cleaned
- [ ] Documentation updated
- [ ] Performance targets met
- [ ] No critical bugs

---

## Risk Mitigation

### Technical Risks

| Risk | Impact | Mitigation |
|------|--------|------------|
| NATS integration complex | High | Start with local NATS, simple pub/sub first |
| IntentGuard accuracy <85% | Medium | Hybrid verification with formal methods |
| Performance targets not met | High | Continuous benchmarking, optimize early |
| Module size violations | Medium | Proactive decomposition, automated checks |
| Time-travel complexity | High | Start with snapshots, add replay later |

### Schedule Risks

| Risk | Impact | Mitigation |
|------|--------|------------|
| Features take longer than estimated | Medium | Buffer 20% extra time per phase |
| Dependencies block progress | Low | Parallel work on independent features |
| Testing reveals major issues | Medium | TDD from day one, test early |

---

## Success Indicators

### After Phase 1 (Week 4)
- ✅ Can create/manage items via CLI
- ✅ Events published to NATS
- ✅ All tests passing

### After Phase 2 (Week 8)
- ✅ Git-style versioning working
- ✅ Can time-travel to any point
- ✅ Semantic versioning automated

### After Phase 3 (Week 12)
- ✅ WBS auto-generated from features
- ✅ Critical path calculated
- ✅ DAG execution with NATS

### After Phase 4 (Week 16)
- ✅ NL assertions verified
- ✅ Cryptographic proofs generated
- ✅ Quality dashboard operational

### After Phase 5 (Week 20)
- ✅ Complete system operational
- ✅ TUI functional and beautiful
- ✅ All documentation complete
- ✅ Performance targets met
- ✅ Ready for production use

---

## Next Steps

1. **Review Plan**: Validate with stakeholders
2. **Set Up Environment**: Install dependencies, configure tools
3. **Begin Week 1**: Start with project setup and data model
4. **Daily Commits**: Commit progress daily
5. **Weekly Reviews**: Assess progress weekly
6. **Adjust as Needed**: Adapt plan based on learnings

This 20-week plan provides a complete roadmap from empty repository to production-ready multi-view PM system with advanced verification, optimized for orchestrating 1000+ agents.
