# Sprint 67: TDG Dogfooding - Kickoff

**Sprint**: 67
**Goal**: Apply TDG enforcement to PMAT codebase itself
**Started**: October 29, 2025
**Estimated Duration**: 1-2 days
**Priority**: HIGH
**Type**: Validation & Reference Implementation

---

## Overview

Sprint 67 applies the TDG enforcement system (built in Sprint 66) to the PMAT codebase itself. This "dogfooding" approach validates the system in real-world usage and creates a reference implementation.

---

## Goals

### Primary Goals

1. **Validate TDG Enforcement System**
   - Prove the system works on a real-world codebase
   - Identify edge cases and bugs
   - Verify baseline creation and comparison logic

2. **Create Reference Implementation**
   - PMAT becomes the model for TDG enforcement usage
   - Demonstrates best practices
   - Provides real-world examples for documentation

3. **Measure PMAT Code Quality**
   - Establish quality baseline for PMAT codebase
   - Identify areas for improvement
   - Track quality trends over time

### Secondary Goals

4. **Generate Data for Documentation**
   - Real-world examples for pmat-book chapter
   - Performance metrics and statistics
   - Common issues and troubleshooting tips

5. **Refine Quality Thresholds**
   - Test different enforcement modes (strict, warning, disabled)
   - Calibrate minimum grade thresholds
   - Validate regression detection sensitivity

---

## Sprint Plan

### Phase 1: Baseline Creation (30 minutes)
**Status**: IN PROGRESS

**Tasks**:
- [x] Create initial TDG baseline for server/src
- [ ] Review baseline statistics (grade distribution, file count)
- [ ] Identify any errors or warnings during baseline creation
- [ ] Document baseline creation time and performance

**Deliverables**:
- `.pmat/tdg-baseline.json` (PMAT's quality baseline)
- Baseline statistics and analysis

---

### Phase 2: Hook Installation (30 minutes)
**Status**: PENDING

**Tasks**:
- [ ] Create `.pmat/tdg-rules.toml` with appropriate thresholds
- [ ] Install TDG enforcement hooks (`pmat hooks install --tdg-enforcement`)
- [ ] Verify hook installation (check `.git/hooks/`)
- [ ] Test pre-commit hook with sample change
- [ ] Test post-commit hook behavior

**Deliverables**:
- `.pmat/tdg-rules.toml` (PMAT's quality configuration)
- Installed git hooks (pre-commit, post-commit)
- Hook test results

**Configuration Decisions**:
```toml
[quality_gates]
# Rust code should meet high standards
rust_min_grade = "B+"  # or "A" if we want to be strict

# Maximum allowed score drop
max_score_drop = 5.0

# Start in warning mode, move to strict after validation
mode = "warning"  # Change to "strict" after testing

[baseline]
baseline_path = ".pmat/tdg-baseline.json"
auto_update_on_main = true
```

---

### Phase 3: Regression Testing (1 hour)
**Status**: PENDING

**Tasks**:
- [ ] Run regression check against baseline
- [ ] Test on recent commits (last 10 commits)
- [ ] Identify any false positives or false negatives
- [ ] Verify regression detection logic
- [ ] Test with intentional quality degradation

**Deliverables**:
- Regression check results
- False positive/negative analysis
- Sensitivity calibration recommendations

**Test Scenarios**:
1. **Clean commit** - No changes, should pass
2. **Quality improvement** - Refactor with better score, should pass
3. **Quality regression** - Add technical debt, should detect
4. **New file below threshold** - Add low-quality file, should catch
5. **New file above threshold** - Add high-quality file, should pass

---

### Phase 4: Quality Analysis (1 hour)
**Status**: PENDING

**Tasks**:
- [ ] Analyze PMAT codebase quality distribution
- [ ] Identify files with lowest TDG scores
- [ ] Prioritize files for refactoring
- [ ] Document common quality issues found
- [ ] Create improvement roadmap

**Deliverables**:
- Quality analysis report
- Refactoring priority list
- Quality improvement roadmap

**Analysis Questions**:
- What's the overall grade distribution?
- Which files have the lowest scores?
- What are common quality issues (complexity, SATD, line length)?
- Are there patterns by module/feature?
- How does quality correlate with file age?

---

### Phase 5: Documentation (2 hours)
**Status**: PENDING

**Tasks**:
- [ ] Create Sprint 67 completion document
- [ ] Document findings and lessons learned
- [ ] Update ROADMAP with Sprint 67 completion
- [ ] Prepare data for pmat-book TDG chapter
- [ ] Create troubleshooting guide based on issues found

**Deliverables**:
- `docs/sprints/SPRINT-67-COMPLETION.md`
- Updated ROADMAP.md
- Troubleshooting notes for pmat-book
- Performance benchmarks

---

## Success Criteria

### Must Have
- ✅ TDG baseline created successfully
- ✅ Git hooks installed and functional
- ✅ Regression checks passing on recent commits
- ✅ Zero critical bugs identified
- ✅ Sprint completion document published

### Should Have
- Quality analysis completed
- Refactoring priority list created
- Performance metrics documented
- Configuration best practices identified

### Nice to Have
- Automated quality improvements applied
- pmat-book chapter outline drafted
- Quality dashboard mockup created

---

## Risks and Mitigations

### Risk 1: Performance Issues
**Description**: Baseline creation may be slow on large codebase  
**Likelihood**: Medium  
**Impact**: Low  
**Mitigation**: 
- Measure performance metrics
- Identify optimization opportunities
- Document acceptable performance thresholds

### Risk 2: False Positives
**Description**: Regression detection may flag legitimate changes  
**Likelihood**: Medium  
**Impact**: Medium  
**Mitigation**:
- Start in warning mode
- Calibrate thresholds based on real data
- Implement override mechanism if needed

### Risk 3: Configuration Complexity
**Description**: Quality thresholds may be hard to configure  
**Likelihood**: Low  
**Impact**: Medium  
**Mitigation**:
- Provide sensible defaults
- Document configuration examples
- Create interactive configuration wizard (future)

---

## Expected Outcomes

### Technical Outcomes
1. **Validated TDG Enforcement System** - Proven to work on real-world codebase
2. **PMAT Quality Baseline** - Establish quality tracking for PMAT itself
3. **Reference Implementation** - Model for other projects

### Documentation Outcomes
4. **Real-World Examples** - Data for pmat-book TDG chapter
5. **Performance Benchmarks** - Baseline creation and regression check times
6. **Best Practices** - Configuration recommendations

### Quality Outcomes
7. **Quality Visibility** - Understand PMAT's current quality state
8. **Improvement Roadmap** - Prioritized list of refactoring targets
9. **Quality Trends** - Track quality over time

---

## Timeline

**Day 1** (October 29, 2025):
- Phase 1: Baseline Creation (30 minutes) ✅ IN PROGRESS
- Phase 2: Hook Installation (30 minutes)
- Phase 3: Regression Testing (1 hour)

**Day 2** (October 30, 2025):
- Phase 4: Quality Analysis (1 hour)
- Phase 5: Documentation (2 hours)

**Total Estimated Time**: 5 hours

---

## Related Work

**Sprint 66** (Complete):
- Phase 1: Baseline System
- Phase 2: Quality Gates
- Phase 3: Git Hooks
- Phase 4: CI/CD Templates

**Sprint 68** (Planned):
- TDG Dashboard (web UI for quality visualization)

**Sprint 69** (Planned):
- pmat-book TDG Enforcement Chapter

---

## Notes

- This is PMAT's first real-world dogfooding of TDG enforcement
- Focus on finding issues and improving the system
- Document everything for pmat-book chapter
- Start in warning mode, move to strict after validation
- Performance matters - track all timing metrics

---

**Document Version**: 1.0  
**Created**: October 29, 2025  
**Author**: Claude (AI Pair Programmer) + Noah Gift (PAIML)
