Daily Code Metrics Report - December 31, 2025

[github-actions[bot]]

Executive Summary

Comprehensive analysis of the gh-aw codebase reveals a highly active, well-tested project with 739K lines of code across 2,103 files. The codebase demonstrates excellent test coverage (205.5% test-to-source ratio) and extensive automation (140 GitHub Actions workflows), earning an overall Quality Score of 58.6/100. Key areas for improvement include inline documentation and code organization.

Key Metrics at a Glance

Metric	Current Value	7-Day Trend	30-Day Trend	Status
Total LOC	739,395	➡️ N/A	➡️ N/A	First baseline
Total Files	2,103	-	-	-
Quality Score	58.6/100	➡️ N/A	➡️ N/A	Needs improvement
Test Coverage	205.5%	➡️ N/A	➡️ N/A	Excellent
Comment Ratio	5.2%	-	-	Below target
7-Day Commits	300	-	-	Very active
7-Day Files Changed	1,092	-	-	High churn

Note: This is the first baseline run. Trends will be available in future reports as historical data accumulates.

---

Full Report

📊 Codebase Size Metrics

By Language

The codebase is primarily composed of Go (41.5%) and YAML (29.6%), reflecting the project's focus on GitHub Actions workflows and CLI tooling.

Language	Files	Lines of Code	Code Lines	Comment Lines	Percentage
Go	1,081	307,008	270,108	30,522	41.5%
YAML	154	219,094	204,399	0	29.6%
Markdown	509	99,208	75,996	0	13.4%
JavaScript	271	62,633	54,898	6,731	8.5%
JSON	42	44,625	44,612	0	6.0%
Shell	25	3,628	3,127	512	0.5%
TypeScript	18	2,345	1,995	426	0.3%
Python	3	854	714	68	0.1%

By Directory

Top directories by size highlight the project structure:

Directory	Files	Lines of Code	Percentage
pkg	1,216	323,786	43.8%
.github	351	278,704	37.7%
actions	278	64,193	8.7%
docs	99	37,114	5.0%
specs	31	11,587	1.6%
skills	25	7,394	1.0%
root	15	5,053	0.7%
.specify	23	3,978	0.5%
scripts	12	3,175	0.4%
cmd	8	2,057	0.3%

Observation: The .github directory (workflows) contains 37.7% of all code, indicating heavy investment in automation and CI/CD infrastructure.

File Distribution

• Total Files: 2,103
• Average File Size: 351.6 LOC
• Large Files (>500 LOC): 353 files (16.8%)
• Total Comments: 38,259 lines
• Comment Ratio: 5.17%

Top 10 Largest Files

1. docs/package-lock.json - 9,747 LOC (JSON)
2. .github/aw/schemas/agentic-workflow.json - 5,658 LOC (JSON)
3. pkg/parser/schemas/main_workflow_schema.json - 5,649 LOC (JSON)
4. .github/aw/main_workflow_schema.json - 5,311 LOC (JSON)
5. docs/src/assets/playground-snapshots/project-board-issue-updater.json - 3,634 LOC (JSON)
6. docs/src/assets/playground-snapshots/project-board-draft-updater.json - 3,485 LOC (JSON)
7. .github/workflows/copilot-session-insights.lock.yml - 2,878 LOC (YAML)
8. docs/src/content/docs/reference/frontmatter-full.md - 2,802 LOC (Markdown)
9. .github/workflows/intelligence.lock.yml - 2,585 LOC (YAML)
10. .github/workflows/python-data-charts.lock.yml - 2,482 LOC (YAML)

---

🧪 Test Coverage Metrics

Test Statistics

Metric	Value
Test Files	959
Test LOC	256,249
Source Files	529
Source LOC	124,701
Test-to-Source Ratio	205.49% ⭐

Analysis

The codebase demonstrates exceptional test coverage with more than 2x as much test code as production code. This indicates:

• Strong commitment to quality and reliability
• Comprehensive test suites across modules
• Test-driven development practices
• High confidence for refactoring and changes

Trend: N/A (baseline established) | Target: 50%+ | Status: ✅ Exceeds target

---

🔄 Code Churn (7-Day Activity)

Activity Summary

Metric	Value
Commits	300
Files Changed	1,092
Lines Added	83,700
Lines Deleted	650,222
Net Change	-566,522 lines

Most Active Files (by total changes)

File	Added	Deleted	Changes
.github/workflows/copilot-pr-merged-report.lock.yml	744	6,630	12
.github/workflows/smoke-copilot-playwright.lock.yml	536	6,610	18
.github/workflows/smoke-copilot-safe-inputs.lock.yml	550	6,591	15
.github/workflows/smoke-copilot-no-firewall.lock.yml	544	6,455	15
.github/workflows/daily-performance-summary.lock.yml	266	6,303	17
.github/workflows/close-old-discussions.lock.yml	126	6,203	12
pkg/parser/schemas/main_workflow_schema.json	3,158	2,832	15
.github/aw/schemas/agentic-workflow.json	3,157	2,822	10
.github/workflows/metrics-collector.lock.yml	3,319	2,366	12
.github/workflows/poem-bot.lock.yml	190	5,430	14

Analysis

Very High Activity: 300 commits affecting 1,092 files indicates:

• Active feature development and refactoring
• Major workflow regeneration/updates (evidenced by large deletions in .lock.yml files)
• Schema updates propagating across multiple files
• Potential for temporary instability requiring careful monitoring

The massive net deletion (-566K lines) suggests significant cleanup, refactoring, or workflow consolidation efforts.

---

⚙️ GitHub Actions Workflows

Workflow Statistics

Metric	Value
Total Workflows	140
Lock Files	126 (90%)
Total Workflow LOC	214,763
Average Workflow Size	1,534 LOC

Analysis

The repository contains an extensive automation infrastructure with 140 workflows. Key observations:

• 90% lock files: Indicates use of compiled/generated workflows for consistency
• Large average size: 1,534 LOC per workflow suggests complex, comprehensive automation
• Automation investment: 29% of codebase is workflow definitions
• Maturity indicator: High workflow count reflects mature DevOps practices

Opportunities: With 140 workflows averaging 1,534 LOC, consider workflow consolidation, reusable workflows, or composite actions to reduce duplication and maintenance burden.

---

📚 Documentation Metrics

Documentation Statistics

Metric	Value
Docs Directory Files	70
Docs Directory LOC	17,124
Total Markdown Files	316
Total Markdown LOC	53,073
Code-to-Docs Ratio	13.9:1

Analysis

• Strong documentation presence: 316 markdown files with 53K LOC
• Dedicated docs: 70 files in docs/ directory
• Inline comments: 5.2% comment ratio (below 10-20% target)

Opportunity: While external documentation is substantial, inline code comments could be increased to improve code maintainability and onboarding.

---

📈 Quality Score: 58.6/100

Score Breakdown

Component	Weight	Score	Max	Performance
Test Coverage	30%	30.0	30	✅ 100% (Excellent)
Code Organization	25%	20.0	25	⚠️ 80% (Good)
Documentation	20%	5.2	20	❌ 26% (Needs work)
Churn Stability	15%	0.0	15	❌ 0% (High activity)
Comment Density	10%	3.4	10	⚠️ 34% (Below target)

Calculation Details

• Test Coverage (30 pts): Based on 205.5% test-to-source ratio → 30/30 (Full score at 50%+)
• Code Organization (25 pts): Average file size 351.6 LOC → 20/25 (Good, slightly above 200 LOC ideal)
• Documentation (20 pts): 5.2% comment ratio → 5.2/20 (Target: 20% for full score)
• Churn Stability (15 pts): 300 commits in 7 days → 0/15 (High churn reduces stability)
• Comment Density (10 pts): 5.2% ratio → 3.4/10 (Target: 15% for full score)

---

💡 Key Insights

1. Excellent Test Coverage: Test-to-source ratio of 205.5% indicates strong testing practices. The codebase has more test code than production code, suggesting thorough coverage.

2. Large Files: 353 files exceed 500 LOC. Review these for potential refactoring opportunities to improve code maintainability.

3. Documentation Opportunity: Comment ratio of 5.2% is below recommended 10-20%. Adding more inline documentation can improve code maintainability.

4. High Activity: 300 commits in the past 7 days with 1,092 files changed indicates very active development. Monitor for potential instability.

5. Extensive Automation: 140 GitHub Actions workflows with average size of 1534 LOC. This extensive automation suggests a mature CI/CD pipeline but may benefit from consolidation.

---

🎯 Recommendations

1. Enhance Code Quality - Target quality score of 70+ by focusing on weak areas identified in the breakdown chart.

2. Add Inline Documentation - Increase comment ratio to at least 10% by documenting complex functions and business logic.

3. Refactor Large Files - 353 files exceed 500 LOC. Prioritize refactoring the largest files to improve maintainability.

4. Monitor High-Churn Files - Files with significant changes may indicate instability or refactoring needs: .github/workflows/copilot-pr-merged-report.lock.yml, .github/workflows/smoke-copilot-playwright.lock.yml...

5. Optimize Workflows - 140 workflows with average 1534 LOC suggest opportunities for consolidation or modularization.

---

📅 Historical Trends

Note: This is the first baseline run of the Daily Code Metrics system. Historical trend data will be available in future reports as metrics accumulate over the next 7-30 days.

What to Expect in Future Reports

• 7-Day Trends: Week-over-week changes in LOC, quality score, test coverage
• 30-Day Trends: Monthly patterns and long-term trajectory
• Trend Indicators: Visual indicators (⬆️/➡️/⬇️) for quick status assessment
• Historical Charts: Time-series visualizations of key metrics
• Anomaly Detection: Identification of unusual spikes or drops in metrics

The metrics collection system will:

• Track daily snapshots in repo memory (memory/code-metrics branch)
• Maintain 90-day rolling history for trend analysis
• Generate visualizations showing metric evolution
• Provide early warning for quality degradation

---

🔧 Methodology

Data Collection

• Source: Full repository scan with git history analysis
• Scope: All tracked files excluding .git, node_modules, vendor
• Languages: Go, JavaScript/TypeScript, YAML, Markdown, JSON, Shell, Python
• Churn Window: 7-day lookback from analysis date
• Storage: Persistent metrics in /tmp/gh-aw/repo-memory/default/ (git branch: memory/code-metrics)

Quality Score Formula

Quality Score = (Test Coverage × 30%) + (Code Organization × 25%) + 
                (Documentation × 20%) + (Churn Stability × 15%) + 
                (Comment Density × 10%)

Where:

• Test Coverage: Normalized by 50% test-to-source ratio (100% = 50%+ coverage)
• Code Organization: Based on average file size (ideal: <200 LOC)
• Documentation: Based on comment ratio (ideal: 20%)
• Churn Stability: Inverse of commit frequency (fewer commits = more stable)
• Comment Density: Comment lines / total lines (ideal: 15%)

Limitations

• First Run: No historical trends available until subsequent runs
• Comment Detection: Simple pattern matching; may not catch all comment styles
• Test Identification: Based on filename patterns (*_test.go, *.test.js, etc.)
• Large Files: JSON schemas and lock files skew averages

---

📊 Visualizations

Generated charts are available in the workflow artifacts:

1. LOC by Language - Distribution of code across programming languages
2. LOC by Directory - Top 10 directories by size
3. Code Composition - Code lines vs comment lines pie chart
4. Quality Score Breakdown - Component scores visualization
5. Test Coverage Gauge - Visual representation of test-to-source ratio

Charts are stored in /tmp/gh-aw/python/charts/ and uploaded as workflow artifacts.

---

📂 Data Storage

All metrics are persisted for trend tracking:

• Format: JSON Lines (.jsonl) for append-only storage
• Location: /tmp/gh-aw/repo-memory/default/history.jsonl
• Retention: 90 days (automatic cleanup of old data)
• Branch: memory/code-metrics (git-backed persistence)
• Latest Snapshot: /tmp/gh-aw/repo-memory/default/latest_metrics.json

Data Access

To query historical metrics:

# View all historical records
cat /tmp/gh-aw/repo-memory/default/history.jsonl | jq .

# View latest metrics
cat /tmp/gh-aw/repo-memory/default/latest_metrics.json | jq .

# Extract specific metric over time
cat /tmp/gh-aw/repo-memory/default/history.jsonl | jq '.metrics.quality_score'

---

🚀 Next Steps

1. Establish Baseline: This first run establishes the baseline for all future comparisons
2. Daily Tracking: Automated daily runs will populate trend data
3. Monitor Trends: Watch for significant changes (>10%) in key metrics
4. Address Recommendations: Prioritize recommendations based on project goals
5. Review in 7 Days: First meaningful trend data will be available after 7 daily runs

Automation: This report is generated daily via GitHub Actions workflow. Historical data persists in the memory/code-metrics branch.

---

References:

• Workflow Run: §20623556740
• Memory Branch: memory/code-metrics
• Metrics File: history.jsonl

AI generated by Daily Code Metrics and Trend Tracking Agent

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-01-03T17:14:59.031Z.