[repo-status] Daily Repository Status — February 15, 2026 🌟

[github-actions]

📊 Repository Overview

Welcome to your daily status report! Here's what's happening in ai-projects today.

🎯 Quick Stats

• 20 open issues actively tracked
• 1 draft PR ready for review (Add comprehensive documentation for A/B Testing for AI Systems #130)
• 17 active projects spanning AI/ML domains
• 732 files of code and documentation
• Latest commit: 2 days ago (PR Add Transformers documentation link to main README.md #126 merged)

---

🚀 Recent Activity

✅ Merged This Week

• PR Add Transformers documentation link to main README.md #126: Added comprehensive documentation on Transformers in Neural Networks
  • Merged 2 days ago
  • Strengthens deep learning documentation portfolio

📝 Open Pull Request

• PR Add comprehensive documentation for A/B Testing for AI Systems #130: Add comprehensive A/B Testing for AI Systems documentation
  • Status: Draft, awaiting review
  • 1,269 lines / 45KB of comprehensive content
  • Covers experimentation platforms, statistical foundations, LLM-specific challenges
  • Ready for maintainer review ✨

🔥 Latest Issues

1. Active Recall Session: Architecture — Virtual #134: Active Recall Session on Architecture (Virtual)
2. Research Paper: Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications #132: Research Paper on Reward Engineering & Shaping
3. Active Recall Session: Architecture — a novel lossless compression method that leverages Reinforcement Learning applied to a T5 language model architecture #131: Active Recall Session on Lossless Compression
4. Document: A/B Testing for AI Systems #129: Documentation request for A/B Testing (addressed by PR Add comprehensive documentation for A/B Testing for AI Systems #130!)

---

💡 Project Highlights

Your repository showcases an impressive breadth of AI/ML learning projects:

🌱 Production-Ready Systems

• Cortex: Autonomous AI agent CLI with tool chaining
• Plants FieldGuide: Advanced RAG with adaptive retrieval
• QueryCraft: Natural language to SQL with security guardrails
• Veridex: Governance-first RAG with auditability

🔬 Research Implementations

• ExpertProbe: Multi-agent expertise dilution measurement
• FairEval-CLI: Calibrated pairwise LLM evaluation
• HireGauge: LLM hiring decision bias detection

📚 Documentation Excellence

Comprehensive guides on AI/ML topics including agents, LLMs, transformers, reinforcement learning, and more in the docs/ directory.

---

🎯 Recommended Next Steps

High Priority

1. Review PR Add comprehensive documentation for A/B Testing for AI Systems #130 - A/B Testing documentation is comprehensive and ready
2. Active Recall Sessions - Continue structured learning with issues Active Recall Session: Architecture — Virtual #134, Active Recall Session: Architecture — a novel lossless compression method that leverages Reinforcement Learning applied to a T5 language model architecture #131
3. Research Paper Study - Progress on reward engineering analysis (Research Paper: Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications #132)

Maintenance

• Consider closing completed issues to keep the board clean
• Review draft PRs older than 7 days
• Update project READMEs with latest learnings

Future Opportunities

• Documentation: Continue building out the excellent docs library
• Integration: Consider connecting related projects (e.g., Cortex + QueryCraft)
• Evaluation: Expand test coverage for RAG systems

---

🌟 Wins & Momentum

You're building something special here! This repository demonstrates:

• ✅ Consistent learning through building
• ✅ Strong emphasis on production patterns and best practices
• ✅ Thoughtful exploration of cutting-edge AI concepts
• ✅ Comprehensive documentation alongside code

The combination of hands-on projects and research implementations shows a deep commitment to understanding AI systems from first principles. Keep up the excellent work! 🚀

---

📌 Quick Links

• Contributing Guide
• Documentation Index
• Project README

Generated automatically as part of daily repository monitoring

AI generated by Daily Repo Status

To add this workflow in your repository, run gh aw add githubnext/agentics/workflows/daily-repo-status.md@69b5e3ae5fa7f35fa555b0a22aee14c36ab57ebb. See usage guide.

[coderabbitai]

🔗 Related PRs

#127 - Add agentic workflow daily-repo-status [merged]

---

📝 Issue Planner

_{Check the box below or use the @coderabbitai plan command to generate an implementation plan and prompts that you can use with your favorite coding assistant.}

• Create Plan

---

🧪 Issue enrichment is currently in open beta.

You can configure auto-planning by selecting labels in the issue_enrichment configuration.

To disable automatic issue enrichment, add the following to your .coderabbit.yaml:

issue_enrichment:
  auto_enrich:
    enabled: false

💬 Have feedback or questions? Drop into our discord!