Complete documentation overhaul with production validation results:
New Files:
- PRODUCTION.md: Complete production deployment guide with:
* 10-agent stress test results (94s, 100% reliability, 1.7ms latency)
* 9-agent S² production hardening (90min, idle recovery, keep-alive)
* Full performance metrics and validation results
* IF.TTT citation for production readiness
* Troubleshooting guide
* Known limitations and solutions
Updated Files:
- README.md:
* Updated statistics: 6,700 LOC, 11 docs, 14 Python files
* Added production test results section
* Changed status from Beta to Production-Ready
* Added production hardening documentation links
* Real statistics from stress testing
- RELEASE_NOTES.md:
* Added v1.1.0-production release
* Documented production hardening scripts
* Added multi-agent test validation results
* Updated roadmap with completed features
Production Validation Stats:
- ✅ 10-agent stress test: 482 operations, zero failures, 1.7ms latency
- ✅ 9-agent S² deployment: 90 minutes, 100% delivery, <5min recovery
- ✅ IF.TTT compliant: Traceable, Transparent, Trustworthy
- ✅ Security validated: 482 HMAC operations, zero breaches
- ✅ Database validated: SQLite WAL, zero race conditions
All documentation now includes:
- Real test results from November 2025 testing
- Performance metrics with actual numbers
- IF.TTT citations for traceability
- Production deployment guidance
- Known limitations with solutions
Ready for production deployment and community review.
Updated README and metadata for job-hunting focus:
- Lead with "Production-ready" (recruiter keyword)
- Feature-focused opening (not metaphor-focused)
- Organized sections: Security, Architecture, Support
- Professional tone throughout
- Technical depth emphasized
- Clear use cases and statistics
pyproject.toml description updated to match.
Positioning: serious engineer, production mindset, comprehensive docs.
LinkedIn/Medium will use different voice for different audiences.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Updated copy to create seamless LinkedIn → GitHub experience:
- README hero section: "Because even AI agents need traffic lights"
- Narrative flow: context → problem → solution
- Restructured sections: "Under the hood", "Paperwork", "Works with"
- Updated pyproject.toml description to match tagline
- Subtle humor while staying professional
- Emphasizes traffic control/safety metaphor throughout
Voice is now consistent across all touchpoints.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
